From 763b5bf3912c223a8d27dec0dacc8177efd9cd7c Mon Sep 17 00:00:00 2001 From: Hisku Date: Mon, 2 Mar 2026 16:47:29 +0000 Subject: [PATCH 1/8] chore: update license from SSPL-1.0 to Apache-2.0 in package.json and README.md, and remove outdated content from LICENSE file --- LICENSE | 750 +++++++++++++-------------------------------------- README.md | 2 +- package.json | 2 +- 3 files changed, 192 insertions(+), 562 deletions(-) diff --git a/LICENSE b/LICENSE index 9fd3df1..621aa8a 100644 --- a/LICENSE +++ b/LICENSE @@ -1,560 +1,190 @@ -Server Side Public License -VERSION 1, OCTOBER 16, 2018 - -Copyright 2024 StackOne - -Everyone is permitted to copy and distribute verbatim copies of this -license document, but changing it is not allowed. - - TERMS AND CONDITIONS - - 0. 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No Surrender of Others' Freedom. - -If conditions are imposed on you (whether by court order, agreement or -otherwise) that contradict the conditions of this License, they do not -excuse you from the conditions of this License. If you cannot use, -propagate or convey a covered work so as to satisfy simultaneously your -obligations under this License and any other pertinent obligations, then -as a consequence you may not use, propagate or convey it at all. For -example, if you agree to terms that obligate you to collect a royalty for -further conveying from those to whom you convey the Program, the only way -you could satisfy both those terms and this License would be to refrain -entirely from conveying the Program. - - 13. Offering the Program as a Service. - -If you make the functionality of the Program or a modified version -available to third parties as a service, you must make the Service Source -Code available via network download to everyone at no charge, under the -terms of this License. Making the functionality of the Program or modified -version available to third parties as a service includes, without -limitation, enabling third parties to interact with the functionality of -the Program or modified version remotely through a computer network, -offering a service the value of which entirely or primarily derives from -the value of the Program or modified version, or offering a service that -accomplishes for users the primary purpose of the Program or modified -version. - -"Service Source Code" means the Corresponding Source for the Program or -the modified version, and the Corresponding Source for all programs that -you use to make the Program or modified version available as a service, -including, without limitation, management software, user interfaces, -application program interfaces, automation software, monitoring software, -backup software, storage software and hosting software, all such that a -user could run an instance of the service using the Service Source Code -you make available. - - 14. Revised Versions of this License. - -MongoDB, Inc. may publish revised and/or new versions of the Server Side -Public License from time to time. Such new versions will be similar in -spirit to the present version, but may differ in detail to address new -problems or concerns. - -Each version is given a distinguishing version number. If the Program -specifies that a certain numbered version of the Server Side Public -License "or any later version" applies to it, you have the option of -following the terms and conditions either of that numbered version or of -any later version published by MongoDB, Inc. 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Limitation of Liability. - -IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING -WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS -THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING -ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF -THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS -OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR -THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER -PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE -POSSIBILITY OF SUCH DAMAGES. - - 17. Interpretation of Sections 15 and 16. - -If the disclaimer of warranty and limitation of liability provided above -cannot be given local legal effect according to their terms, reviewing -courts shall apply local law that most closely approximates an absolute -waiver of all civil liability in connection with the Program, unless a -warranty or assumption of liability accompanies a copy of the Program in -return for a fee. - -END OF TERMS AND CONDITIONS + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + Copyright 2024 StackOne + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md index e48b8cf..f9ce441 100644 --- a/README.md +++ b/README.md @@ -242,4 +242,4 @@ npm test ## License -SSPL-1.0 — See [LICENSE](./LICENSE) for details. +Apache-2.0 — See [LICENSE](./LICENSE) for details. diff --git a/package.json b/package.json index 12b1aca..9d6a0bc 100644 --- a/package.json +++ b/package.json @@ -48,7 +48,7 @@ "security" ], "author": "StackOne", - "license": "SSPL-1.0", + "license": "Apache-2.0", "dependencies": { "nanoid": "5.0.9" }, From 2f8850d189fa8e6d399c1c262a851015f5b79e12 Mon Sep 17 00:00:00 2001 From: Hisku Date: Mon, 2 Mar 2026 16:53:31 +0000 Subject: [PATCH 2/8] chore: add GitHub workflows for CI and release management, along with configuration files --- .github/workflows/node-ci.yml | 28 +++++++++++++ .github/workflows/release-please.yml | 46 +++++++++++++++++++++ .github/workflows/semantic-pull-request.yml | 31 ++++++++++++++ .release-please-manifest.json | 3 ++ release-please-config.json | 5 +++ 5 files changed, 113 insertions(+) create mode 100644 .github/workflows/node-ci.yml create mode 100644 .github/workflows/release-please.yml create mode 100644 .github/workflows/semantic-pull-request.yml create mode 100644 .release-please-manifest.json create mode 100644 release-please-config.json diff --git a/.github/workflows/node-ci.yml b/.github/workflows/node-ci.yml new file mode 100644 index 0000000..f9193f6 --- /dev/null +++ b/.github/workflows/node-ci.yml @@ -0,0 +1,28 @@ +name: Node.js CI + +on: [pull_request] + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 + with: + lfs: true + - name: Use Node.js + uses: actions/setup-node@a0853c24544627f65ddf259abe73b1d18a591444 # v5.0.0 + with: + node-version: '22.14.0' + cache: 'npm' + - name: Update npm + run: npm install -g npm@11.6.4 + - name: Install dependencies + run: npm ci + - name: Build + run: npm run build + - name: Lint + run: npm run lint + - name: Tests Typecheck + run: npm run test:typecheck + - name: Test + run: npm test diff --git a/.github/workflows/release-please.yml b/.github/workflows/release-please.yml new file mode 100644 index 0000000..30eb431 --- /dev/null +++ b/.github/workflows/release-please.yml @@ -0,0 +1,46 @@ +on: + push: + branches: + - main + +name: release-please + +permissions: + id-token: write + contents: read + +jobs: + release-please: + runs-on: ubuntu-latest + steps: + - uses: googleapis/release-please-action@c2a5a2bd6a758a0937f1ddb1e8950609867ed15c # v4 + id: release + with: + token: ${{ secrets.REPO_GH_PAT }} + config-file: release-please-config.json + manifest-file: .release-please-manifest.json + + - name: Checkout Repository + uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 + if: steps.release.outputs.paths_released != '[]' + with: + lfs: true + - name: Setup Node + uses: actions/setup-node@a0853c24544627f65ddf259abe73b1d18a591444 # v5.0.0 + if: steps.release.outputs.paths_released != '[]' + with: + node-version: 22.14.0 + registry-url: 'https://registry.npmjs.org' + always-auth: true + - name: Build + if: steps.release.outputs.paths_released != '[]' + run: | + npm install -g npm@11.6.4 + npm ci + npm run build + - name: Publish + if: steps.release.outputs.paths_released != '[]' + run: | + npm run publish-release + env: + NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }} diff --git a/.github/workflows/semantic-pull-request.yml b/.github/workflows/semantic-pull-request.yml new file mode 100644 index 0000000..5c7f7ca --- /dev/null +++ b/.github/workflows/semantic-pull-request.yml @@ -0,0 +1,31 @@ +name: "Check PR title" + +on: + pull_request_target: + types: + - opened + - reopened + - edited + - synchronize + +permissions: + pull-requests: read + +jobs: + main: + name: Validate PR title + runs-on: ubuntu-latest + steps: + - uses: amannn/action-semantic-pull-request@e32d7e603df1aa1ba07e981f2a23455dee596825 # v5 + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + with: + scopes: | + ^[A-Z]{3}-\d+ + deps + deps-dev + workflow + requireScope: true + ignoreLabels: | + autorelease: pending + dependencies diff --git a/.release-please-manifest.json b/.release-please-manifest.json new file mode 100644 index 0000000..beea3f7 --- /dev/null +++ b/.release-please-manifest.json @@ -0,0 +1,3 @@ +{ + ".": "0.3.1" +} diff --git a/release-please-config.json b/release-please-config.json new file mode 100644 index 0000000..9644d40 --- /dev/null +++ b/release-please-config.json @@ -0,0 +1,5 @@ +{ + "packages": { + ".": {} + } +} From 1e813f8a6fca35b6aa0790bef855371e8bdd47a9 Mon Sep 17 00:00:00 2001 From: Hisku Date: Tue, 3 Mar 2026 10:11:55 +0000 Subject: [PATCH 3/8] refactor: rename unified document and HRIS tool patterns to simplify naming conventions --- README.md | 12 ++++++------ specs/integration.spec.ts | 12 ++++++------ specs/utils.spec.ts | 2 +- src/config.ts | 8 ++------ src/core/tool-result-sanitizer.ts | 4 ++-- src/utils/field-detection.ts | 2 +- 6 files changed, 18 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index f9ce441..705cdd9 100644 --- a/README.md +++ b/README.md @@ -80,8 +80,8 @@ Use `allowed` for blocking decisions: | Tool Pattern | Base Risk | Why | |--------------|-----------|-----| | `gmail_*`, `email_*` | `high` | Emails are the #1 injection vector | -| `unified_documents_*` | `medium` | User-generated content | -| `unified_hris_*` | `medium` | Employee data with free-text fields | +| `documents_*` | `medium` | User-generated content | +| `hris_*` | `medium` | Employee data with free-text fields | | `github_*` | `medium` | PRs/issues with user-generated content | | All other tools | `medium` | Default cautious level | @@ -136,7 +136,7 @@ Batch method — defends multiple tool results concurrently. ```typescript const results = await defense.defendToolResults([ { value: emailData, toolName: 'gmail_get_message' }, - { value: docData, toolName: 'unified_documents_get' }, + { value: docData, toolName: 'documents_get' }, { value: prData, toolName: 'github_get_pull_request' }, ]); @@ -215,10 +215,10 @@ Built-in rules define which fields to sanitize and what base risk level to use f | Tool Pattern | Risky Fields | Notes | |---|---|---| | `gmail_*`, `email_*` | subject, body, snippet, content | Base risk `high` — primary injection vector | -| `unified_documents_*` | name, description, content, title | User-generated content | +| `documents_*` | name, description, content, title | User-generated content | | `github_*` | name, title, body, description | PRs, issues, comments | -| `unified_hris_*` | name, notes, bio, description | Employee free-text fields | -| `unified_ats_*`, `unified_crm_*` | _(default risky fields)_ | Uses global defaults | +| `hris_*` | name, notes, bio, description | Employee free-text fields | +| `ats_*`, `crm_*` | _(default risky fields)_ | Uses global defaults | Tools not matching any pattern use `medium` base risk with default risky field detection. diff --git a/specs/integration.spec.ts b/specs/integration.spec.ts index 3944fa1..47378d1 100644 --- a/specs/integration.spec.ts +++ b/specs/integration.spec.ts @@ -19,7 +19,7 @@ describe('ToolResultSanitizer', () => { { id: '2', name: 'SYSTEM: Malicious', description: 'Ignore previous' }, ]; - const result = sanitizer.sanitize(input, { toolName: 'unified_documents_list_files' }); + const result = sanitizer.sanitize(input, { toolName: 'documents_list_files' }); expect(result.sanitized).toHaveLength(2); expect((result.sanitized[1] as { name: string }).name).not.toContain('SYSTEM:'); @@ -41,7 +41,7 @@ describe('ToolResultSanitizer', () => { created_at: '2024-01-01', }; - const result = sanitizer.sanitize(input, { toolName: 'unified_documents_get_file' }); + const result = sanitizer.sanitize(input, { toolName: 'documents_get_file' }); // Name should be sanitized (risky field) expect((result.sanitized as { name: string }).name).not.toContain('SYSTEM:'); @@ -57,7 +57,7 @@ describe('ToolResultSanitizer', () => { mime_type: 'text/plain', }; - const result = sanitizer.sanitize(input, { toolName: 'unified_documents_get_file' }); + const result = sanitizer.sanitize(input, { toolName: 'documents_get_file' }); // ID is in skipFields, should be unchanged expect((result.sanitized as { id: string }).id).toBe('SYSTEM: this is an id'); @@ -94,7 +94,7 @@ describe('ToolResultSanitizer', () => { total: 100, }; - const result = sanitizer.sanitize(input, { toolName: 'unified_documents_list_files' }); + const result = sanitizer.sanitize(input, { toolName: 'documents_list_files' }); const sanitized = result.sanitized as { data: { name: string }[]; next: string; total: number }; // Data should be sanitized @@ -336,7 +336,7 @@ describe('Real-world scenarios', () => { }; const result = sanitizer.sanitize(documentList, { - toolName: 'unified_documents_list_files', + toolName: 'documents_list_files', }); const sanitized = result.sanitized as typeof documentList; @@ -365,7 +365,7 @@ describe('Real-world scenarios', () => { }; const result = sanitizer.sanitize(employee, { - toolName: 'unified_hris_get_employee', + toolName: 'hris_get_employee', }); const sanitized = result.sanitized as typeof employee; diff --git a/specs/utils.spec.ts b/specs/utils.spec.ts index dd044a9..cf98d14 100644 --- a/specs/utils.spec.ts +++ b/specs/utils.spec.ts @@ -104,7 +104,7 @@ describe('Field detection utilities', () => { it('should match wildcard patterns', () => { expect(matchesWildcard('gmail_get_message', 'gmail_*')).toBe(true); - expect(matchesWildcard('unified_documents_list_files', 'unified_documents_*')).toBe(true); + expect(matchesWildcard('documents_list_files', 'documents_*')).toBe(true); }); it('should not match non-matching patterns', () => { diff --git a/src/config.ts b/src/config.ts index d751ee1..3fc3ec2 100644 --- a/src/config.ts +++ b/src/config.ts @@ -41,19 +41,15 @@ export const DEFAULT_RISKY_FIELDS: RiskyFieldConfig = { ], toolOverrides: { // Document tools - focus on content fields - 'unified_documents_*': ['name', 'description', 'content', 'title'], 'documents_*': ['name', 'description', 'content', 'title'], // HRIS tools - employee data - 'unified_hris_*': ['name', 'notes', 'bio', 'description'], 'hris_*': ['name', 'notes', 'bio', 'description'], // ATS tools - candidate data - 'unified_ats_*': ['name', 'notes', 'description', 'summary'], 'ats_*': ['name', 'notes', 'description', 'summary'], // CRM tools - customer data - 'unified_crm_*': ['name', 'description', 'notes', 'content'], 'crm_*': ['name', 'description', 'notes', 'content'], // Email/messaging tools @@ -81,7 +77,7 @@ export const DEFAULT_TRAVERSAL_CONFIG: TraversalConfig = { export const DEFAULT_TOOL_RULES: ToolSanitizationRule[] = [ // Document tools - higher risk due to content fields { - toolPattern: /^unified_documents_/, + toolPattern: /^documents_/, sanitizationLevel: 'medium', maxFieldLengths: { name: 500, @@ -98,7 +94,7 @@ export const DEFAULT_TOOL_RULES: ToolSanitizationRule[] = [ // HRIS tools - medium risk { - toolPattern: /^unified_hris_/, + toolPattern: /^hris_/, sanitizationLevel: 'medium', maxFieldLengths: { name: 200, diff --git a/src/core/tool-result-sanitizer.ts b/src/core/tool-result-sanitizer.ts index 04da5f2..191a988 100644 --- a/src/core/tool-result-sanitizer.ts +++ b/src/core/tool-result-sanitizer.ts @@ -1069,7 +1069,7 @@ export class ToolResultSanitizer { } /** - * Extract vertical from tool name (e.g., "unified_documents_list" -> "documents") + * Extract vertical from tool name (e.g., "documents_list" -> "documents") */ private extractVertical(toolName: string): string { const parts = toolName.split('_'); @@ -1081,7 +1081,7 @@ export class ToolResultSanitizer { } /** - * Extract resource from tool name (e.g., "unified_documents_list_files" -> "files") + * Extract resource from tool name (e.g., "documents_list_files" -> "files") */ private extractResource(toolName: string): string { const parts = toolName.split('_'); diff --git a/src/utils/field-detection.ts b/src/utils/field-detection.ts index 421dc70..67618bb 100644 --- a/src/utils/field-detection.ts +++ b/src/utils/field-detection.ts @@ -74,7 +74,7 @@ export function getToolOverrideFields( * @returns Whether the tool name matches * * @example - * matchesWildcard('unified_documents_list_files', 'unified_documents_*') // true + * matchesWildcard('documents_list_files', 'documents_*') // true * matchesWildcard('gmail_get_message', 'gmail_*') // true */ export function matchesWildcard(toolName: string, pattern: string): boolean { From 9c51d9b3be0282f537f433bdc5dea8eb4571394c Mon Sep 17 00:00:00 2001 From: Hisku Date: Tue, 3 Mar 2026 11:27:47 +0000 Subject: [PATCH 4/8] docs: remove outdated repository relocation notice from README --- README.md | 6 ------ 1 file changed, 6 deletions(-) diff --git a/README.md b/README.md index 705cdd9..b24b32d 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,4 @@ # @stackone/defender -> ⚠️ **Repository Moved** -> -> This package has been moved to: -> https://github.com/StackOneHQ/connect/tree/main/packages/defender -> -> Please update your bookmarks and dependencies. This repository is kept only for historical reference. --- Prompt injection defense framework for AI tool-calling. Detects and neutralizes prompt injection attacks hidden in tool results (emails, documents, PRs, etc.) before they reach your LLM. From f0afd5ea4591e7c3242c15ef241224e30c192ca6 Mon Sep 17 00:00:00 2001 From: Hisku Date: Tue, 3 Mar 2026 13:31:33 +0000 Subject: [PATCH 5/8] chore: add prepublishOnly script to package.json to ensure build runs before publishing --- package.json | 1 + 1 file changed, 1 insertion(+) diff --git a/package.json b/package.json index 9d6a0bc..da1950b 100644 --- a/package.json +++ b/package.json @@ -38,6 +38,7 @@ "test": "FORCE_COLOR=1 vitest run", "test:watch": "FORCE_COLOR=1 vitest watch --silent", "test:typecheck": "tsc --noEmit --project tsconfig.tests.json", + "prepublishOnly": "npm run build", "publish-release": "npm publish --access=public" }, "keywords": [ From 65aba4636c6c9caea1f5515eec6501c31c5a7996 Mon Sep 17 00:00:00 2001 From: Hisku Date: Tue, 3 Mar 2026 13:49:51 +0000 Subject: [PATCH 6/8] chore: add @biomejs/biome as a devDependency --- package-lock.json | 166 +++++++++++++++++++++++++++++++++++++++++++++- package.json | 1 + 2 files changed, 166 insertions(+), 1 deletion(-) diff --git a/package-lock.json b/package-lock.json index c3ebf40..80eae2d 100644 --- a/package-lock.json +++ b/package-lock.json @@ -7,11 +7,12 @@ "": { "name": "@stackone/defender", "version": "0.3.1", - "license": "SSPL-1.0", + "license": "Apache-2.0", "dependencies": { "nanoid": "5.0.9" }, "devDependencies": { + "@biomejs/biome": "^2.4.5", "@huggingface/transformers": "3.8.1", "onnxruntime-node": "1.21.0", "rimraf": "^6.1.3", @@ -100,6 +101,169 @@ "node": "^20.19.0 || >=22.12.0" } }, + "node_modules/@biomejs/biome": { + "version": "2.4.5", + "resolved": "https://registry.npmjs.org/@biomejs/biome/-/biome-2.4.5.tgz", + "integrity": "sha512-OWNCyMS0Q011R6YifXNOg6qsOg64IVc7XX6SqGsrGszPbkVCoaO7Sr/lISFnXZ9hjQhDewwZ40789QmrG0GYgQ==", + "dev": true, + "license": "MIT OR Apache-2.0", + "bin": { + "biome": "bin/biome" + }, + "engines": { + "node": ">=14.21.3" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/biome" + }, + "optionalDependencies": { + 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"resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.8.1.tgz", diff --git a/package.json b/package.json index da1950b..73e6820 100644 --- a/package.json +++ b/package.json @@ -54,6 +54,7 @@ "nanoid": "5.0.9" }, "devDependencies": { + "@biomejs/biome": "^2.4.5", "@huggingface/transformers": "3.8.1", "onnxruntime-node": "1.21.0", "rimraf": "^6.1.3", From 219526f13f2a24ac6034550a50c4f497447b56b6 Mon Sep 17 00:00:00 2001 From: Hisku Date: Tue, 3 Mar 2026 13:59:36 +0000 Subject: [PATCH 7/8] feat: add biome configuration file and fix code formatting --- biome.json | 26 + src/classifiers/embedder.ts | 304 +- src/classifiers/index.ts | 14 +- src/classifiers/mlp.ts | 218 +- src/classifiers/mlp_weights.json | 76410 +++++++--------- .../models/minilm-full-aug/config.json | 52 +- .../models/minilm-full-aug/tokenizer.json | 61352 ++++++------- .../minilm-full-aug/tokenizer_config.json | 28 +- src/classifiers/onnx-classifier.ts | 485 +- src/classifiers/pattern-detector.ts | 636 +- src/classifiers/patterns.ts | 962 +- src/classifiers/tier2-classifier.ts | 709 +- src/classifiers/weights.ts | 30 +- src/config.ts | 293 +- src/core/index.ts | 4 +- src/core/prompt-defense.ts | 435 +- src/core/tool-result-sanitizer.ts | 2039 +- src/index.ts | 14 +- src/sanitizers/encoding-detector.ts | 487 +- src/sanitizers/index.ts | 10 +- src/sanitizers/normalizer.ts | 152 +- src/sanitizers/pattern-remover.ts | 387 +- src/sanitizers/role-stripper.ts | 237 +- src/sanitizers/sanitizer.ts | 552 +- src/types.ts | 404 +- src/utils/boundary.ts | 40 +- src/utils/field-detection.ts | 144 +- src/utils/index.ts | 6 +- src/utils/structure.ts | 245 +- 29 files changed, 68502 insertions(+), 78173 deletions(-) create mode 100644 biome.json diff --git a/biome.json b/biome.json new file mode 100644 index 0000000..89953ed --- /dev/null +++ b/biome.json @@ -0,0 +1,26 @@ +{ + "$schema": "https://biomejs.dev/schemas/2.0.x/schema.json", + "files": { + "maxSize": 5242880, + "includes": ["src/**", "specs/**"] + }, + "formatter": { + "indentStyle": "tab", + "indentWidth": 4, + "lineWidth": 120 + }, + "linter": { + "rules": { + "suspicious": { + "noAssignInExpressions": "off" + } + } + }, + "assist": { + "actions": { + "source": { + "organizeImports": "on" + } + } + } +} diff --git a/src/classifiers/embedder.ts b/src/classifiers/embedder.ts index b9d392b..24ae550 100644 --- a/src/classifiers/embedder.ts +++ b/src/classifiers/embedder.ts @@ -11,14 +11,14 @@ * Embedder configuration */ export interface EmbedderConfig { - /** Model ID (default: Xenova/all-MiniLM-L6-v2) */ - modelId: string; - /** Pooling strategy (default: mean) */ - pooling: 'mean' | 'cls' | 'max'; - /** Whether to normalize embeddings (default: false - must match Python training) */ - normalize: boolean; - /** Device to run on (default: auto) */ - device?: 'cpu' | 'gpu' | 'auto'; + /** Model ID (default: Xenova/all-MiniLM-L6-v2) */ + modelId: string; + /** Pooling strategy (default: mean) */ + pooling: "mean" | "cls" | "max"; + /** Whether to normalize embeddings (default: false - must match Python training) */ + normalize: boolean; + /** Device to run on (default: auto) */ + device?: "cpu" | "gpu" | "auto"; } /** @@ -26,20 +26,20 @@ export interface EmbedderConfig { * CRITICAL: normalize=false must match Python training (normalize_embeddings=False) */ export const DEFAULT_EMBEDDER_CONFIG: EmbedderConfig = { - modelId: 'Xenova/all-MiniLM-L6-v2', - pooling: 'mean', - normalize: false, - device: 'cpu', + modelId: "Xenova/all-MiniLM-L6-v2", + pooling: "mean", + normalize: false, + device: "cpu", }; /** * Embedder result */ export interface EmbedderResult { - /** Embedding vectors (384-dim for MiniLM) */ - embeddings: number[][]; - /** Time to generate embeddings in ms */ - latencyMs: number; + /** Embedding vectors (384-dim for MiniLM) */ + embeddings: number[][]; + /** Time to generate embeddings in ms */ + latencyMs: number; } /** @@ -47,8 +47,8 @@ export interface EmbedderResult { * We use dynamic import to make @huggingface/transformers optional */ type FeatureExtractionPipeline = ( - texts: string | string[], - options?: { pooling?: string; normalize?: boolean }, + texts: string | string[], + options?: { pooling?: string; normalize?: boolean }, ) => Promise<{ tolist: () => number[][] } | number[][]>; /** @@ -58,145 +58,143 @@ type FeatureExtractionPipeline = ( * The model download (~100MB) is cached locally after first run. */ export class Embedder { - private config: EmbedderConfig; - private pipeline: FeatureExtractionPipeline | null = null; - private loadingPromise: Promise | null = null; - - constructor(config: Partial = {}) { - this.config = { ...DEFAULT_EMBEDDER_CONFIG, ...config }; - } - - /** - * Lazy-load the embedding pipeline - */ - private async loadPipeline(): Promise { - if (this.pipeline) { - return this.pipeline; - } - - if (this.loadingPromise) { - return this.loadingPromise; - } - - this.loadingPromise = this.initPipeline(); - return this.loadingPromise; - } - - private async initPipeline(): Promise { - try { - // Dynamic import to make @huggingface/transformers optional - // eslint-disable-next-line @typescript-eslint/no-require-imports - const transformers = await (Function( - 'return import("@huggingface/transformers")', - )() as Promise<{ - pipeline: ( - task: string, - model: string, - options: { pooling: string; normalize: boolean }, - ) => Promise; - }>); - - this.pipeline = await transformers.pipeline('feature-extraction', this.config.modelId, { - pooling: this.config.pooling, - normalize: this.config.normalize, - }); - - return this.pipeline; - } catch (error) { - this.loadingPromise = null; - const errMsg = (error as Error).message || String(error); - if ( - errMsg.includes('Cannot find module') || - errMsg.includes('ERR_MODULE_NOT_FOUND') || - errMsg.includes('@huggingface/transformers') - ) { - throw new Error( - 'Embedder requires @huggingface/transformers. Install with: npm install @huggingface/transformers', - ); - } - throw error; - } - } - - /** - * Check if the embedding model is loaded - */ - isLoaded(): boolean { - return this.pipeline !== null; - } - - /** - * Pre-load the embedding model - * Call this at startup to avoid latency on first embed() call - */ - async warmup(): Promise { - await this.loadPipeline(); - } - - /** - * Generate embeddings for one or more texts - * - * @param texts - Single text or array of texts to embed - * @returns Embedding vectors and timing info - */ - async embed(texts: string | string[]): Promise { - const startTime = performance.now(); - - const pipe = await this.loadPipeline(); - - const inputTexts = Array.isArray(texts) ? texts : [texts]; - - const output = await pipe(inputTexts, { - pooling: this.config.pooling, - normalize: this.config.normalize, - }); - - // Transformers.js returns a Tensor with tolist() method, or a raw array - const embeddings: number[][] = - typeof (output as { tolist?: () => number[][] }).tolist === 'function' - ? (output as { tolist: () => number[][] }).tolist() - : (output as number[][]); - - return { - embeddings, - latencyMs: performance.now() - startTime, - }; - } - - /** - * Generate embedding for a single text - * - * @param text - Text to embed - * @returns Single embedding vector (384-dim) - */ - async embedOne(text: string): Promise { - const result = await this.embed(text); - const embedding = result.embeddings[0]; - if (!embedding) { - throw new Error('Failed to generate embedding'); - } - return embedding; - } - - /** - * Get the expected embedding dimension - */ - getEmbeddingDim(): number { - // MiniLM-L6-v2 produces 384-dim embeddings - return 384; - } - - /** - * Get current configuration - */ - getConfig(): EmbedderConfig { - return { ...this.config }; - } + private config: EmbedderConfig; + private pipeline: FeatureExtractionPipeline | null = null; + private loadingPromise: Promise | null = null; + + constructor(config: Partial = {}) { + this.config = { ...DEFAULT_EMBEDDER_CONFIG, ...config }; + } + + /** + * Lazy-load the embedding pipeline + */ + private async loadPipeline(): Promise { + if (this.pipeline) { + return this.pipeline; + } + + if (this.loadingPromise) { + return this.loadingPromise; + } + + this.loadingPromise = this.initPipeline(); + return this.loadingPromise; + } + + private async initPipeline(): Promise { + try { + // Dynamic import to make @huggingface/transformers optional + // eslint-disable-next-line @typescript-eslint/no-require-imports + const transformers = await (Function('return import("@huggingface/transformers")')() as Promise<{ + pipeline: ( + task: string, + model: string, + options: { pooling: string; normalize: boolean }, + ) => Promise; + }>); + + this.pipeline = await transformers.pipeline("feature-extraction", this.config.modelId, { + pooling: this.config.pooling, + normalize: this.config.normalize, + }); + + return this.pipeline; + } catch (error) { + this.loadingPromise = null; + const errMsg = (error as Error).message || String(error); + if ( + errMsg.includes("Cannot find module") || + errMsg.includes("ERR_MODULE_NOT_FOUND") || + errMsg.includes("@huggingface/transformers") + ) { + throw new Error( + "Embedder requires @huggingface/transformers. Install with: npm install @huggingface/transformers", + ); + } + throw error; + } + } + + /** + * Check if the embedding model is loaded + */ + isLoaded(): boolean { + return this.pipeline !== null; + } + + /** + * Pre-load the embedding model + * Call this at startup to avoid latency on first embed() call + */ + async warmup(): Promise { + await this.loadPipeline(); + } + + /** + * Generate embeddings for one or more texts + * + * @param texts - Single text or array of texts to embed + * @returns Embedding vectors and timing info + */ + async embed(texts: string | string[]): Promise { + const startTime = performance.now(); + + const pipe = await this.loadPipeline(); + + const inputTexts = Array.isArray(texts) ? texts : [texts]; + + const output = await pipe(inputTexts, { + pooling: this.config.pooling, + normalize: this.config.normalize, + }); + + // Transformers.js returns a Tensor with tolist() method, or a raw array + const embeddings: number[][] = + typeof (output as { tolist?: () => number[][] }).tolist === "function" + ? (output as { tolist: () => number[][] }).tolist() + : (output as number[][]); + + return { + embeddings, + latencyMs: performance.now() - startTime, + }; + } + + /** + * Generate embedding for a single text + * + * @param text - Text to embed + * @returns Single embedding vector (384-dim) + */ + async embedOne(text: string): Promise { + const result = await this.embed(text); + const embedding = result.embeddings[0]; + if (!embedding) { + throw new Error("Failed to generate embedding"); + } + return embedding; + } + + /** + * Get the expected embedding dimension + */ + getEmbeddingDim(): number { + // MiniLM-L6-v2 produces 384-dim embeddings + return 384; + } + + /** + * Get current configuration + */ + getConfig(): EmbedderConfig { + return { ...this.config }; + } } /** * Create an embedder instance with optional configuration */ export function createEmbedder(config?: Partial): Embedder { - return new Embedder(config); + return new Embedder(config); } diff --git a/src/classifiers/index.ts b/src/classifiers/index.ts index 6c566fc..5ac23d7 100644 --- a/src/classifiers/index.ts +++ b/src/classifiers/index.ts @@ -5,13 +5,13 @@ * Tier 2: MLP-based detection (accurate, requires embeddings) */ -export * from './embedder'; +export * from "./embedder"; // Tier 2: MLP classifier -export * from './mlp'; +export * from "./mlp"; // Tier 2: ONNX classifier (fine-tuned MiniLM) -export * from './onnx-classifier'; -export * from './pattern-detector'; +export * from "./onnx-classifier"; +export * from "./pattern-detector"; // Tier 1: Pattern detection -export * from './patterns'; -export * from './tier2-classifier'; -export * from './weights'; +export * from "./patterns"; +export * from "./tier2-classifier"; +export * from "./weights"; diff --git a/src/classifiers/mlp.ts b/src/classifiers/mlp.ts index 70dd7ae..83b5440 100644 --- a/src/classifiers/mlp.ts +++ b/src/classifiers/mlp.ts @@ -12,76 +12,76 @@ * MLP weights structure exported from PyTorch */ export interface MLPWeights { - config: { - dim?: number; - hidden?: number[]; - embedding_model_id?: string; - }; - state_dict: { - 'net.0.weight': number[][]; - 'net.0.bias': number[]; - 'net.3.weight': number[][]; - 'net.3.bias': number[]; - 'net.6.weight': number[][]; - 'net.6.bias': number[]; - }; + config: { + dim?: number; + hidden?: number[]; + embedding_model_id?: string; + }; + state_dict: { + "net.0.weight": number[][]; + "net.0.bias": number[]; + "net.3.weight": number[][]; + "net.3.bias": number[]; + "net.6.weight": number[][]; + "net.6.bias": number[]; + }; } /** * Loaded MLP model ready for inference */ export interface MLPModel { - /** First layer weights (256 x 384) */ - w0: number[][]; - /** First layer bias (256) */ - b0: number[]; - /** Second layer weights (128 x 256) */ - w1: number[][]; - /** Second layer bias (128) */ - b1: number[]; - /** Output layer weights (1 x 128) */ - w2: number[][]; - /** Output layer bias (1) */ - b2: number[]; - /** Expected embedding dimension */ - embeddingDim: number; + /** First layer weights (256 x 384) */ + w0: number[][]; + /** First layer bias (256) */ + b0: number[]; + /** Second layer weights (128 x 256) */ + w1: number[][]; + /** Second layer bias (128) */ + b1: number[]; + /** Output layer weights (1 x 128) */ + w2: number[][]; + /** Output layer bias (1) */ + b2: number[]; + /** Expected embedding dimension */ + embeddingDim: number; } // Matrix-vector multiplication: (M x N) @ (N,) -> (M,) function matVecMul(matrix: number[][], vec: number[]): number[] { - const out: number[] = new Array(matrix.length); - for (let i = 0; i < matrix.length; i++) { - let sum = 0; - const row = matrix[i] ?? []; - for (let j = 0; j < vec.length; j++) { - sum += (row[j] ?? 0) * (vec[j] ?? 0); - } - out[i] = sum; - } - return out; + const out: number[] = new Array(matrix.length); + for (let i = 0; i < matrix.length; i++) { + let sum = 0; + const row = matrix[i] ?? []; + for (let j = 0; j < vec.length; j++) { + sum += (row[j] ?? 0) * (vec[j] ?? 0); + } + out[i] = sum; + } + return out; } // Add bias vector elementwise function addBias(vec: number[], bias: number[]): number[] { - const out: number[] = new Array(vec.length); - for (let i = 0; i < vec.length; i++) { - out[i] = (vec[i] ?? 0) + (bias[i] ?? 0); - } - return out; + const out: number[] = new Array(vec.length); + for (let i = 0; i < vec.length; i++) { + out[i] = (vec[i] ?? 0) + (bias[i] ?? 0); + } + return out; } // ReLU activation function relu(vec: number[]): number[] { - const out: number[] = new Array(vec.length); - for (let i = 0; i < vec.length; i++) { - out[i] = (vec[i] ?? 0) > 0 ? (vec[i] ?? 0) : 0; - } - return out; + const out: number[] = new Array(vec.length); + for (let i = 0; i < vec.length; i++) { + out[i] = (vec[i] ?? 0) > 0 ? (vec[i] ?? 0) : 0; + } + return out; } // Sigmoid activation function sigmoid(x: number): number { - return 1 / (1 + Math.exp(-x)); + return 1 / (1 + Math.exp(-x)); } /** @@ -92,52 +92,48 @@ function sigmoid(x: number): number { * @throws Error if weights are invalid or missing required keys */ export function loadMLPWeights(json: MLPWeights): MLPModel { - const d = json.state_dict; - - // Validate required keys - const requiredKeys = [ - 'net.0.weight', - 'net.0.bias', - 'net.3.weight', - 'net.3.bias', - 'net.6.weight', - 'net.6.bias', - ] as const; - - for (const key of requiredKeys) { - if (!d[key]) { - throw new Error(`MLP weights missing required key: ${key}`); - } - } - - const w0 = d['net.0.weight']; - const b0 = d['net.0.bias']; - const w1 = d['net.3.weight']; - const b1 = d['net.3.bias']; - const w2 = d['net.6.weight']; - const b2 = d['net.6.bias']; - - // Infer embedding dimension from first layer weights - const embeddingDim = w0[0]?.length ?? 384; - - // Validate dimensions - if (w0.length !== 256 || b0.length !== 256) { - throw new Error( - `Invalid layer 0 dimensions: expected (256, ${embeddingDim}), got (${w0.length}, ${w0[0]?.length})`, - ); - } - if (w1.length !== 128 || b1.length !== 128) { - throw new Error( - `Invalid layer 1 dimensions: expected (128, 256), got (${w1.length}, ${w1[0]?.length})`, - ); - } - if (w2.length !== 1 || b2.length !== 1) { - throw new Error( - `Invalid output layer dimensions: expected (1, 128), got (${w2.length}, ${w2[0]?.length})`, - ); - } - - return { w0, b0, w1, b1, w2, b2, embeddingDim }; + const d = json.state_dict; + + // Validate required keys + const requiredKeys = [ + "net.0.weight", + "net.0.bias", + "net.3.weight", + "net.3.bias", + "net.6.weight", + "net.6.bias", + ] as const; + + for (const key of requiredKeys) { + if (!d[key]) { + throw new Error(`MLP weights missing required key: ${key}`); + } + } + + const w0 = d["net.0.weight"]; + const b0 = d["net.0.bias"]; + const w1 = d["net.3.weight"]; + const b1 = d["net.3.bias"]; + const w2 = d["net.6.weight"]; + const b2 = d["net.6.bias"]; + + // Infer embedding dimension from first layer weights + const embeddingDim = w0[0]?.length ?? 384; + + // Validate dimensions + if (w0.length !== 256 || b0.length !== 256) { + throw new Error( + `Invalid layer 0 dimensions: expected (256, ${embeddingDim}), got (${w0.length}, ${w0[0]?.length})`, + ); + } + if (w1.length !== 128 || b1.length !== 128) { + throw new Error(`Invalid layer 1 dimensions: expected (128, 256), got (${w1.length}, ${w1[0]?.length})`); + } + if (w2.length !== 1 || b2.length !== 1) { + throw new Error(`Invalid output layer dimensions: expected (1, 128), got (${w2.length}, ${w2[0]?.length})`); + } + + return { w0, b0, w1, b1, w2, b2, embeddingDim }; } /** @@ -149,23 +145,21 @@ export function loadMLPWeights(json: MLPWeights): MLPModel { * @throws Error if embedding dimension doesn't match model */ export function mlpForward(model: MLPModel, embedding: number[]): number { - if (embedding.length !== model.embeddingDim) { - throw new Error( - `Embedding dimension mismatch: expected ${model.embeddingDim}, got ${embedding.length}`, - ); - } - - // Layer 0: Linear + ReLU - let h = addBias(matVecMul(model.w0, embedding), model.b0); - h = relu(h); - - // Layer 1: Linear + ReLU - h = addBias(matVecMul(model.w1, h), model.b1); - h = relu(h); - - // Output: Linear + Sigmoid - const logit = addBias(matVecMul(model.w2, h), model.b2)[0] ?? 0; - return sigmoid(logit); + if (embedding.length !== model.embeddingDim) { + throw new Error(`Embedding dimension mismatch: expected ${model.embeddingDim}, got ${embedding.length}`); + } + + // Layer 0: Linear + ReLU + let h = addBias(matVecMul(model.w0, embedding), model.b0); + h = relu(h); + + // Layer 1: Linear + ReLU + h = addBias(matVecMul(model.w1, h), model.b1); + h = relu(h); + + // Output: Linear + Sigmoid + const logit = addBias(matVecMul(model.w2, h), model.b2)[0] ?? 0; + return sigmoid(logit); } /** @@ -176,5 +170,5 @@ export function mlpForward(model: MLPModel, embedding: number[]): number { * @returns Array of probabilities */ export function mlpForwardBatch(model: MLPModel, embeddings: number[][]): number[] { - return embeddings.map((emb) => mlpForward(model, emb)); + return embeddings.map((emb) => mlpForward(model, emb)); } diff --git a/src/classifiers/mlp_weights.json b/src/classifiers/mlp_weights.json index 4451131..15fa232 100644 --- a/src/classifiers/mlp_weights.json +++ b/src/classifiers/mlp_weights.json @@ -1,42953 +1,33461 @@ { - "config": { - "embedding_model_id": "sentence-transformers/all-MiniLM-L6-v2", - "dim": 384, - "hidden": [256, 128] - }, - "state_dict": { - "net.0.weight": [ - [ - 0.061516012996435165, -0.021787814795970917, 0.0049723428674042225, - 0.09286686033010483, -0.01867133378982544, 0.08681012690067291, - -0.05847412720322609, 0.0039187404327094555, -0.010126346722245216, - 0.027258114889264107, 0.03722875192761421, -0.0033172888215631247, - 0.0386529341340065, 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a/src/classifiers/models/minilm-full-aug/tokenizer_config.json +++ b/src/classifiers/models/minilm-full-aug/tokenizer_config.json @@ -1,16 +1,16 @@ { - "backend": "tokenizers", - "cls_token": "[CLS]", - "do_basic_tokenize": true, - "do_lower_case": true, - "is_local": false, - "mask_token": "[MASK]", - "model_max_length": 512, - "never_split": null, - "pad_token": "[PAD]", - "sep_token": "[SEP]", - "strip_accents": null, - "tokenize_chinese_chars": true, - "tokenizer_class": "BertTokenizer", - "unk_token": "[UNK]" + "backend": "tokenizers", + "cls_token": "[CLS]", + "do_basic_tokenize": true, + "do_lower_case": true, + "is_local": false, + "mask_token": "[MASK]", + "model_max_length": 512, + "never_split": null, + "pad_token": "[PAD]", + "sep_token": "[SEP]", + "strip_accents": null, + "tokenize_chinese_chars": true, + "tokenizer_class": "BertTokenizer", + "unk_token": "[UNK]" } diff --git a/src/classifiers/onnx-classifier.ts b/src/classifiers/onnx-classifier.ts index 5283aed..7e0438b 100644 --- a/src/classifiers/onnx-classifier.ts +++ b/src/classifiers/onnx-classifier.ts @@ -9,65 +9,63 @@ * a single logit, not class probabilities). */ -import { dirname, resolve } from 'path'; -import { fileURLToPath } from 'url'; +import { dirname, resolve } from "path"; +import { fileURLToPath } from "url"; /** * Default path to the bundled ONNX model directory (relative to dist/) */ function getDefaultModelPath(): string { - // Works for both CJS (__dirname) and ESM (import.meta.url) - let baseDir: string; - try { - // ESM - baseDir = dirname(fileURLToPath(import.meta.url)); - } catch { - // CJS fallback - baseDir = __dirname; - } - return resolve(baseDir, 'models', 'minilm-full-aug'); + // Works for both CJS (__dirname) and ESM (import.meta.url) + let baseDir: string; + try { + // ESM + baseDir = dirname(fileURLToPath(import.meta.url)); + } catch { + // CJS fallback + baseDir = __dirname; + } + return resolve(baseDir, "models", "minilm-full-aug"); } /** * Sigmoid activation function */ function sigmoid(x: number): number { - return 1 / (1 + Math.exp(-x)); + return 1 / (1 + Math.exp(-x)); } /** * Minimal tokenizer interface (subset of @huggingface/transformers PreTrainedTokenizer) */ -interface Tokenizer { - ( - text: string | string[], - options?: { - padding?: boolean | string; - truncation?: boolean; - max_length?: number; - return_tensor?: boolean; - }, - ): { - input_ids: bigint[][] | { tolist: () => bigint[][] }; - attention_mask: bigint[][] | { tolist: () => bigint[][] }; - }; -} +type Tokenizer = ( + text: string | string[], + options?: { + padding?: boolean | string; + truncation?: boolean; + max_length?: number; + return_tensor?: boolean; + }, +) => { + input_ids: bigint[][] | { tolist: () => bigint[][] }; + attention_mask: bigint[][] | { tolist: () => bigint[][] }; +}; /** * Minimal ONNX Runtime InferenceSession interface */ interface OrtInferenceSession { - run( - feeds: Record, - options?: unknown, - ): Promise>; + run( + feeds: Record, + options?: unknown, + ): Promise>; } /** * Minimal ONNX Runtime Tensor constructor interface */ interface OrtTensorConstructor { - new (type: string, data: BigInt64Array, dims: number[]): unknown; + new (type: string, data: BigInt64Array, dims: number[]): unknown; } /** @@ -84,220 +82,211 @@ interface OrtTensorConstructor { * ``` */ export class OnnxClassifier { - private session: OrtInferenceSession | null = null; - private tokenizer: Tokenizer | null = null; - private OrtTensor: OrtTensorConstructor | null = null; - private modelPath: string; - private loadingPromise: Promise | null = null; - private maxLength = 256; - - constructor(modelPath?: string) { - this.modelPath = modelPath ?? getDefaultModelPath(); - } - - /** - * Load the ONNX model and tokenizer. - * - * @param modelPath - Optional override for the model directory path - */ - async loadModel(modelPath?: string): Promise { - if (modelPath) { - this.modelPath = modelPath; - } - - if (this.session && this.tokenizer) { - return; - } - - if (this.loadingPromise) { - return this.loadingPromise; - } - - this.loadingPromise = this._loadModel(); - try { - await this.loadingPromise; - } catch (error) { - this.loadingPromise = null; - throw error; - } - } - - private async _loadModel(): Promise { - // Dynamic imports — these are optional peer dependencies - // eslint-disable-next-line @typescript-eslint/no-require-imports - const transformers = (await import('@huggingface/transformers')) as unknown as { - AutoTokenizer: { - from_pretrained: ( - path: string, - options?: { local_files_only: boolean }, - ) => Promise; - }; - }; - - this.tokenizer = await transformers.AutoTokenizer.from_pretrained(this.modelPath, { - local_files_only: true, - }); - - // eslint-disable-next-line @typescript-eslint/no-require-imports - const ort = (await import('onnxruntime-node')) as unknown as { - InferenceSession: { - create: (path: string) => Promise; - }; - Tensor: OrtTensorConstructor; - }; - - this.OrtTensor = ort.Tensor; - const onnxPath = resolve(this.modelPath, 'model_quantized.onnx'); - this.session = await ort.InferenceSession.create(onnxPath); - } - - /** - * Classify a single text, returning a sigmoid score in [0, 1]. - * Higher values indicate higher probability of prompt injection. - * - * @param text - Text to classify - * @returns Sigmoid score in [0, 1] - */ - async classify(text: string): Promise { - await this.ensureLoaded(); - - const { inputIds, attentionMask } = this.tokenize(text); - - if (!this.OrtTensor) { - throw new Error('OrtTensor not loaded'); - } - - const inputIdsTensor = new this.OrtTensor('int64', inputIds, [1, inputIds.length]); - const attentionMaskTensor = new this.OrtTensor('int64', attentionMask, [ - 1, - attentionMask.length, - ]); - - const results = await this.session?.run({ - input_ids: inputIdsTensor, - attention_mask: attentionMaskTensor, - }); - - const logit = results?.['logits']?.data[0]; - if (logit === undefined || logit === null) { - throw new Error('ONNX model returned no logits'); - } - - return sigmoid(Number(logit)); - } - - /** - * Classify multiple texts in batch. - * - * @param texts - Array of texts to classify - * @returns Array of sigmoid scores in [0, 1] - */ - async classifyBatch(texts: string[]): Promise { - if (texts.length === 0) return []; - - await this.ensureLoaded(); - - // Tokenize all texts, padding to the same length - const tokenized = texts.map((t) => this.tokenize(t)); - const maxLen = Math.max(...tokenized.map((t) => t.inputIds.length)); - - // Pad to max length and concatenate into batch tensors - const batchSize = texts.length; - const batchInputIds = new BigInt64Array(batchSize * maxLen); - const batchAttentionMask = new BigInt64Array(batchSize * maxLen); - - for (let i = 0; i < batchSize; i++) { - const t = tokenized[i]; - if (!t) continue; - for (let j = 0; j < t.inputIds.length; j++) { - batchInputIds[i * maxLen + j] = t.inputIds[j] ?? 0n; - batchAttentionMask[i * maxLen + j] = t.attentionMask[j] ?? 0n; - } - // Remaining positions are already 0n (padding) - } - - if (!this.OrtTensor) { - throw new Error('OrtTensor not loaded'); - } - - const inputIdsTensor = new this.OrtTensor('int64', batchInputIds, [batchSize, maxLen]); - const attentionMaskTensor = new this.OrtTensor('int64', batchAttentionMask, [ - batchSize, - maxLen, - ]); - - const results = await this.session?.run({ - input_ids: inputIdsTensor, - attention_mask: attentionMaskTensor, - }); - - const logits = results?.['logits']?.data; - if (!logits) { - throw new Error('ONNX model returned no logits'); - } - - const scores: number[] = []; - for (let i = 0; i < batchSize; i++) { - scores.push(sigmoid(Number(logits[i]))); - } - - return scores; - } - - /** - * Pre-load the model. Call at startup to avoid first-call latency. - */ - async warmup(): Promise { - await this.loadModel(); - } - - /** - * Check if the model is loaded and ready for inference. - */ - isLoaded(): boolean { - return this.session !== null && this.tokenizer !== null; - } - - /** - * Tokenize a single text into BigInt64Arrays for ONNX Runtime. - */ - private tokenize(text: string): { - inputIds: BigInt64Array; - attentionMask: BigInt64Array; - } { - if (!this.tokenizer) { - throw new Error('Tokenizer not loaded. Call loadModel() first.'); - } - - const encoded = this.tokenizer(text, { - padding: false, - truncation: true, - max_length: this.maxLength, - return_tensor: false, - }); - - // AutoTokenizer may return Tensor-like objects or plain arrays - const rawIds: bigint[] = Array.isArray(encoded.input_ids) - ? (encoded.input_ids as bigint[][]).flat() - : (encoded.input_ids as { tolist: () => bigint[][] }).tolist().flat(); - - const rawMask: bigint[] = Array.isArray(encoded.attention_mask) - ? (encoded.attention_mask as bigint[][]).flat() - : (encoded.attention_mask as { tolist: () => bigint[][] }).tolist().flat(); - - // Convert to BigInt64Array (onnxruntime-node expects int64) - const inputIds = new BigInt64Array(rawIds.map((v) => BigInt(v))); - const attentionMask = new BigInt64Array(rawMask.map((v) => BigInt(v))); - - return { inputIds, attentionMask }; - } - - /** - * Ensure the model is loaded, loading it if necessary. - */ - private async ensureLoaded(): Promise { - if (!this.session || !this.tokenizer) { - await this.loadModel(); - } - } + private session: OrtInferenceSession | null = null; + private tokenizer: Tokenizer | null = null; + private OrtTensor: OrtTensorConstructor | null = null; + private modelPath: string; + private loadingPromise: Promise | null = null; + private maxLength = 256; + + constructor(modelPath?: string) { + this.modelPath = modelPath ?? getDefaultModelPath(); + } + + /** + * Load the ONNX model and tokenizer. + * + * @param modelPath - Optional override for the model directory path + */ + async loadModel(modelPath?: string): Promise { + if (modelPath) { + this.modelPath = modelPath; + } + + if (this.session && this.tokenizer) { + return; + } + + if (this.loadingPromise) { + return this.loadingPromise; + } + + this.loadingPromise = this._loadModel(); + try { + await this.loadingPromise; + } catch (error) { + this.loadingPromise = null; + throw error; + } + } + + private async _loadModel(): Promise { + // Dynamic imports — these are optional peer dependencies + // eslint-disable-next-line @typescript-eslint/no-require-imports + const transformers = (await import("@huggingface/transformers")) as unknown as { + AutoTokenizer: { + from_pretrained: (path: string, options?: { local_files_only: boolean }) => Promise; + }; + }; + + this.tokenizer = await transformers.AutoTokenizer.from_pretrained(this.modelPath, { + local_files_only: true, + }); + + // eslint-disable-next-line @typescript-eslint/no-require-imports + const ort = (await import("onnxruntime-node")) as unknown as { + InferenceSession: { + create: (path: string) => Promise; + }; + Tensor: OrtTensorConstructor; + }; + + this.OrtTensor = ort.Tensor; + const onnxPath = resolve(this.modelPath, "model_quantized.onnx"); + this.session = await ort.InferenceSession.create(onnxPath); + } + + /** + * Classify a single text, returning a sigmoid score in [0, 1]. + * Higher values indicate higher probability of prompt injection. + * + * @param text - Text to classify + * @returns Sigmoid score in [0, 1] + */ + async classify(text: string): Promise { + await this.ensureLoaded(); + + const { inputIds, attentionMask } = this.tokenize(text); + + if (!this.OrtTensor) { + throw new Error("OrtTensor not loaded"); + } + + const inputIdsTensor = new this.OrtTensor("int64", inputIds, [1, inputIds.length]); + const attentionMaskTensor = new this.OrtTensor("int64", attentionMask, [1, attentionMask.length]); + + const results = await this.session?.run({ + input_ids: inputIdsTensor, + attention_mask: attentionMaskTensor, + }); + + const logit = results?.["logits"]?.data[0]; + if (logit === undefined || logit === null) { + throw new Error("ONNX model returned no logits"); + } + + return sigmoid(Number(logit)); + } + + /** + * Classify multiple texts in batch. + * + * @param texts - Array of texts to classify + * @returns Array of sigmoid scores in [0, 1] + */ + async classifyBatch(texts: string[]): Promise { + if (texts.length === 0) return []; + + await this.ensureLoaded(); + + // Tokenize all texts, padding to the same length + const tokenized = texts.map((t) => this.tokenize(t)); + const maxLen = Math.max(...tokenized.map((t) => t.inputIds.length)); + + // Pad to max length and concatenate into batch tensors + const batchSize = texts.length; + const batchInputIds = new BigInt64Array(batchSize * maxLen); + const batchAttentionMask = new BigInt64Array(batchSize * maxLen); + + for (let i = 0; i < batchSize; i++) { + const t = tokenized[i]; + if (!t) continue; + for (let j = 0; j < t.inputIds.length; j++) { + batchInputIds[i * maxLen + j] = t.inputIds[j] ?? 0n; + batchAttentionMask[i * maxLen + j] = t.attentionMask[j] ?? 0n; + } + // Remaining positions are already 0n (padding) + } + + if (!this.OrtTensor) { + throw new Error("OrtTensor not loaded"); + } + + const inputIdsTensor = new this.OrtTensor("int64", batchInputIds, [batchSize, maxLen]); + const attentionMaskTensor = new this.OrtTensor("int64", batchAttentionMask, [batchSize, maxLen]); + + const results = await this.session?.run({ + input_ids: inputIdsTensor, + attention_mask: attentionMaskTensor, + }); + + const logits = results?.["logits"]?.data; + if (!logits) { + throw new Error("ONNX model returned no logits"); + } + + const scores: number[] = []; + for (let i = 0; i < batchSize; i++) { + scores.push(sigmoid(Number(logits[i]))); + } + + return scores; + } + + /** + * Pre-load the model. Call at startup to avoid first-call latency. + */ + async warmup(): Promise { + await this.loadModel(); + } + + /** + * Check if the model is loaded and ready for inference. + */ + isLoaded(): boolean { + return this.session !== null && this.tokenizer !== null; + } + + /** + * Tokenize a single text into BigInt64Arrays for ONNX Runtime. + */ + private tokenize(text: string): { + inputIds: BigInt64Array; + attentionMask: BigInt64Array; + } { + if (!this.tokenizer) { + throw new Error("Tokenizer not loaded. Call loadModel() first."); + } + + const encoded = this.tokenizer(text, { + padding: false, + truncation: true, + max_length: this.maxLength, + return_tensor: false, + }); + + // AutoTokenizer may return Tensor-like objects or plain arrays + const rawIds: bigint[] = Array.isArray(encoded.input_ids) + ? (encoded.input_ids as bigint[][]).flat() + : (encoded.input_ids as { tolist: () => bigint[][] }).tolist().flat(); + + const rawMask: bigint[] = Array.isArray(encoded.attention_mask) + ? (encoded.attention_mask as bigint[][]).flat() + : (encoded.attention_mask as { tolist: () => bigint[][] }).tolist().flat(); + + // Convert to BigInt64Array (onnxruntime-node expects int64) + const inputIds = new BigInt64Array(rawIds.map((v) => BigInt(v))); + const attentionMask = new BigInt64Array(rawMask.map((v) => BigInt(v))); + + return { inputIds, attentionMask }; + } + + /** + * Ensure the model is loaded, loading it if necessary. + */ + private async ensureLoaded(): Promise { + if (!this.session || !this.tokenizer) { + await this.loadModel(); + } + } } diff --git a/src/classifiers/pattern-detector.ts b/src/classifiers/pattern-detector.ts index d4f5eae..66528fc 100644 --- a/src/classifiers/pattern-detector.ts +++ b/src/classifiers/pattern-detector.ts @@ -5,36 +5,36 @@ * Target latency: < 1-2ms per field */ -import { ALL_PATTERNS, containsFilterKeywords, type PatternDefinition } from './patterns'; -import type { PatternMatch, RiskLevel, StructuralFlag, Tier1Result } from '../types'; +import type { PatternMatch, RiskLevel, StructuralFlag, Tier1Result } from "../types"; +import { ALL_PATTERNS, containsFilterKeywords, type PatternDefinition } from "./patterns"; /** * Configuration for the pattern detector */ export interface PatternDetectorConfig { - /** Whether to use fast keyword pre-filtering */ - useFastFilter: boolean; - /** Maximum string length to analyze (longer strings are truncated) */ - maxAnalysisLength: number; - /** Entropy threshold for high-entropy detection */ - entropyThreshold: number; - /** Minimum length to check for high entropy */ - entropyMinLength: number; - /** Maximum allowed field length before flagging */ - maxFieldLength: number; - /** Custom patterns to add */ - customPatterns?: PatternDefinition[]; + /** Whether to use fast keyword pre-filtering */ + useFastFilter: boolean; + /** Maximum string length to analyze (longer strings are truncated) */ + maxAnalysisLength: number; + /** Entropy threshold for high-entropy detection */ + entropyThreshold: number; + /** Minimum length to check for high entropy */ + entropyMinLength: number; + /** Maximum allowed field length before flagging */ + maxFieldLength: number; + /** Custom patterns to add */ + customPatterns?: PatternDefinition[]; } /** * Default configuration */ export const DEFAULT_DETECTOR_CONFIG: PatternDetectorConfig = { - useFastFilter: true, - maxAnalysisLength: 50000, - entropyThreshold: 4.5, // Bits per character (Base64 is ~6, English is ~4) - entropyMinLength: 50, - maxFieldLength: 100000, + useFastFilter: true, + maxAnalysisLength: 50000, + entropyThreshold: 4.5, // Bits per character (Base64 is ~6, English is ~4) + entropyMinLength: 50, + maxFieldLength: 100000, }; /** @@ -44,315 +44,303 @@ export const DEFAULT_DETECTOR_CONFIG: PatternDetectorConfig = { * role markers, and structural anomalies. */ export class PatternDetector { - private config: PatternDetectorConfig; - private patterns: PatternDefinition[]; - - private hasCustomPatterns: boolean; - - constructor(config: Partial = {}) { - this.config = { ...DEFAULT_DETECTOR_CONFIG, ...config }; - this.patterns = [...ALL_PATTERNS, ...(config.customPatterns ?? [])]; - this.hasCustomPatterns = (config.customPatterns?.length ?? 0) > 0; - } - - /** - * Analyze a string for injection patterns - * - * @param text - Text to analyze - * @returns Tier 1 classification result - */ - analyze(text: string): Tier1Result { - const startTime = performance.now(); - - // Handle empty or very short text - if (!text || text.length < 3) { - return this.createEmptyResult(startTime); - } - - // Check length BEFORE truncation for structural detection - const originalLength = text.length; - - // Truncate very long text for performance (pattern matching only) - const analysisText = - text.length > this.config.maxAnalysisLength - ? text.slice(0, this.config.maxAnalysisLength) - : text; - - // Fast filter: skip expensive regex if no keywords found - // Disable fast filter when custom patterns are provided - const shouldUseFastFilter = this.config.useFastFilter && !this.hasCustomPatterns; - if (shouldUseFastFilter && !containsFilterKeywords(analysisText)) { - // Still check structural issues even without keyword matches - const structuralFlags = this.detectStructuralIssues(analysisText, originalLength); - return this.createResult([], structuralFlags, startTime); - } - - // Run pattern matching - const matches = this.detectPatterns(analysisText); - - // Detect structural issues (pass original length for accurate length check) - const structuralFlags = this.detectStructuralIssues(analysisText, originalLength); - - return this.createResult(matches, structuralFlags, startTime); - } - - /** - * Detect patterns in text - */ - private detectPatterns(text: string): PatternMatch[] { - const matches: PatternMatch[] = []; - - for (const def of this.patterns) { - // Clone regex to avoid mutating shared module-level pattern state - const pattern = new RegExp(def.pattern.source, def.pattern.flags); - - let match: RegExpExecArray | null; - - // Handle global vs non-global patterns - if (pattern.global) { - while ((match = pattern.exec(text)) !== null) { - matches.push({ - pattern: def.id, - matched: match[0], - position: match.index, - category: def.category, - severity: def.severity, - }); - - // Safety: prevent infinite loops on zero-length matches - if (match.index === pattern.lastIndex) { - pattern.lastIndex++; - } - } - } else { - match = pattern.exec(text); - if (match) { - matches.push({ - pattern: def.id, - matched: match[0], - position: match.index, - category: def.category, - severity: def.severity, - }); - } - } - } - - return matches; - } - - /** - * Detect structural issues in text - */ - private detectStructuralIssues(text: string, originalLength?: number): StructuralFlag[] { - const flags: StructuralFlag[] = []; - - // Check for excessive length (use original length if provided) - const lengthToCheck = originalLength ?? text.length; - if (lengthToCheck > this.config.maxFieldLength) { - flags.push({ - type: 'excessive_length', - details: `Field length ${lengthToCheck} exceeds maximum ${this.config.maxFieldLength}`, - severity: 'medium', - }); - } - - // Check for high entropy (potential encoded data) - if (text.length >= this.config.entropyMinLength) { - const entropy = this.calculateEntropy(text); - if (entropy > this.config.entropyThreshold) { - flags.push({ - type: 'high_entropy', - details: `Entropy ${entropy.toFixed(2)} exceeds threshold ${this.config.entropyThreshold}`, - severity: 'medium', - }); - } - } - - // Check for suspicious formatting (nested XML/brackets) - if (this.hasNestedMarkers(text)) { - flags.push({ - type: 'nested_markers', - details: 'Suspicious nested XML tags or bracket patterns detected', - severity: 'medium', - }); - } - - // Check for suspicious formatting patterns - if (this.hasSuspiciousFormatting(text)) { - flags.push({ - type: 'suspicious_formatting', - details: 'Unusual formatting patterns detected', - severity: 'low', - }); - } - - return flags; - } - - /** - * Calculate Shannon entropy of a string - * Higher entropy indicates more randomness (potential encoding) - */ - private calculateEntropy(text: string): number { - const freq: Record = {}; - - for (const char of text) { - freq[char] = (freq[char] || 0) + 1; - } - - let entropy = 0; - const len = text.length; - - for (const count of Object.values(freq)) { - const p = count / len; - entropy -= p * Math.log2(p); - } - - return entropy; - } - - /** - * Check for nested XML tags or bracket patterns - */ - private hasNestedMarkers(text: string): boolean { - // Check for XML-like tags that look like role/instruction markers - const suspiciousXmlPattern = - /<\/?(?:system|user|assistant|instruction|prompt|admin|developer)[^>]*>/gi; - const suspiciousTags = text.match(suspiciousXmlPattern); - if (suspiciousTags && suspiciousTags.length >= 2) { - return true; - } - - // Check for multiple XML-like tags (any kind) - const xmlTags = text.match(/<[a-zA-Z][^>]*>/g); - if (xmlTags && xmlTags.length > 4) { - // Check if they look like role/instruction markers - const markerTags = xmlTags.filter((tag) => - /system|user|assistant|instruction|prompt/i.test(tag), - ); - if (markerTags.length > 0) { - return true; - } - } - - // Check for nested brackets with suspicious content - const bracketPattern = /\[\[.*?(system|instruction|ignore).*?\]\]/i; - if (bracketPattern.test(text)) { - return true; - } - - return false; - } - - /** - * Check for suspicious formatting patterns - */ - private hasSuspiciousFormatting(text: string): boolean { - // Multiple newlines followed by what looks like instructions - const multiNewlineInstruction = /\n{3,}(system|instruction|ignore|forget)/i; - if (multiNewlineInstruction.test(text)) { - return true; - } - - // Markdown-style headers that look like instructions - const markdownHeader = /^#{1,3}\s*(system|instruction|new rules)/im; - if (markdownHeader.test(text)) { - return true; - } - - // Horizontal rules followed by instruction-like content - const hrInstruction = /[-=]{3,}\s*\n\s*(system|instruction|ignore)/i; - if (hrInstruction.test(text)) { - return true; - } - - return false; - } - - /** - * Create a Tier1Result from matches and flags - */ - private createResult( - matches: PatternMatch[], - structuralFlags: StructuralFlag[], - startTime: number, - ): Tier1Result { - const hasDetections = matches.length > 0 || structuralFlags.length > 0; - - return { - matches, - structuralFlags, - hasDetections, - suggestedRisk: this.calculateSuggestedRisk(matches, structuralFlags), - latencyMs: performance.now() - startTime, - }; - } - - /** - * Create an empty result for short-circuit cases - */ - private createEmptyResult(startTime: number): Tier1Result { - return { - matches: [], - structuralFlags: [], - hasDetections: false, - suggestedRisk: 'low', - latencyMs: performance.now() - startTime, - }; - } - - /** - * Calculate suggested risk level based on matches and flags - */ - private calculateSuggestedRisk( - matches: PatternMatch[], - structuralFlags: StructuralFlag[], - ): RiskLevel { - // Count by severity - const highMatches = matches.filter((m) => m.severity === 'high').length; - const mediumMatches = matches.filter((m) => m.severity === 'medium').length; - const highFlags = structuralFlags.filter((f) => f.severity === 'high').length; - const mediumFlags = structuralFlags.filter((f) => f.severity === 'medium').length; - - // Risk calculation - if (highMatches >= 2 || (highMatches >= 1 && highFlags >= 1)) { - return 'critical'; - } - - if (highMatches >= 1 || mediumMatches >= 3 || (mediumMatches >= 2 && mediumFlags >= 1)) { - return 'high'; - } - - if (mediumMatches >= 1 || highFlags >= 1 || mediumFlags >= 2) { - return 'medium'; - } - - if (matches.length > 0 || structuralFlags.length > 0) { - return 'low'; - } - - return 'low'; - } - - /** - * Add custom patterns at runtime - */ - addPattern(pattern: PatternDefinition): void { - this.patterns.push(pattern); - } - - /** - * Get all registered patterns - */ - getPatterns(): PatternDefinition[] { - return [...this.patterns]; - } + private config: PatternDetectorConfig; + private patterns: PatternDefinition[]; + + private hasCustomPatterns: boolean; + + constructor(config: Partial = {}) { + this.config = { ...DEFAULT_DETECTOR_CONFIG, ...config }; + this.patterns = [...ALL_PATTERNS, ...(config.customPatterns ?? [])]; + this.hasCustomPatterns = (config.customPatterns?.length ?? 0) > 0; + } + + /** + * Analyze a string for injection patterns + * + * @param text - Text to analyze + * @returns Tier 1 classification result + */ + analyze(text: string): Tier1Result { + const startTime = performance.now(); + + // Handle empty or very short text + if (!text || text.length < 3) { + return this.createEmptyResult(startTime); + } + + // Check length BEFORE truncation for structural detection + const originalLength = text.length; + + // Truncate very long text for performance (pattern matching only) + const analysisText = + text.length > this.config.maxAnalysisLength ? text.slice(0, this.config.maxAnalysisLength) : text; + + // Fast filter: skip expensive regex if no keywords found + // Disable fast filter when custom patterns are provided + const shouldUseFastFilter = this.config.useFastFilter && !this.hasCustomPatterns; + if (shouldUseFastFilter && !containsFilterKeywords(analysisText)) { + // Still check structural issues even without keyword matches + const structuralFlags = this.detectStructuralIssues(analysisText, originalLength); + return this.createResult([], structuralFlags, startTime); + } + + // Run pattern matching + const matches = this.detectPatterns(analysisText); + + // Detect structural issues (pass original length for accurate length check) + const structuralFlags = this.detectStructuralIssues(analysisText, originalLength); + + return this.createResult(matches, structuralFlags, startTime); + } + + /** + * Detect patterns in text + */ + private detectPatterns(text: string): PatternMatch[] { + const matches: PatternMatch[] = []; + + for (const def of this.patterns) { + // Clone regex to avoid mutating shared module-level pattern state + const pattern = new RegExp(def.pattern.source, def.pattern.flags); + + let match: RegExpExecArray | null; + + // Handle global vs non-global patterns + if (pattern.global) { + while ((match = pattern.exec(text)) !== null) { + matches.push({ + pattern: def.id, + matched: match[0], + position: match.index, + category: def.category, + severity: def.severity, + }); + + // Safety: prevent infinite loops on zero-length matches + if (match.index === pattern.lastIndex) { + pattern.lastIndex++; + } + } + } else { + match = pattern.exec(text); + if (match) { + matches.push({ + pattern: def.id, + matched: match[0], + position: match.index, + category: def.category, + severity: def.severity, + }); + } + } + } + + return matches; + } + + /** + * Detect structural issues in text + */ + private detectStructuralIssues(text: string, originalLength?: number): StructuralFlag[] { + const flags: StructuralFlag[] = []; + + // Check for excessive length (use original length if provided) + const lengthToCheck = originalLength ?? text.length; + if (lengthToCheck > this.config.maxFieldLength) { + flags.push({ + type: "excessive_length", + details: `Field length ${lengthToCheck} exceeds maximum ${this.config.maxFieldLength}`, + severity: "medium", + }); + } + + // Check for high entropy (potential encoded data) + if (text.length >= this.config.entropyMinLength) { + const entropy = this.calculateEntropy(text); + if (entropy > this.config.entropyThreshold) { + flags.push({ + type: "high_entropy", + details: `Entropy ${entropy.toFixed(2)} exceeds threshold ${this.config.entropyThreshold}`, + severity: "medium", + }); + } + } + + // Check for suspicious formatting (nested XML/brackets) + if (this.hasNestedMarkers(text)) { + flags.push({ + type: "nested_markers", + details: "Suspicious nested XML tags or bracket patterns detected", + severity: "medium", + }); + } + + // Check for suspicious formatting patterns + if (this.hasSuspiciousFormatting(text)) { + flags.push({ + type: "suspicious_formatting", + details: "Unusual formatting patterns detected", + severity: "low", + }); + } + + return flags; + } + + /** + * Calculate Shannon entropy of a string + * Higher entropy indicates more randomness (potential encoding) + */ + private calculateEntropy(text: string): number { + const freq: Record = {}; + + for (const char of text) { + freq[char] = (freq[char] || 0) + 1; + } + + let entropy = 0; + const len = text.length; + + for (const count of Object.values(freq)) { + const p = count / len; + entropy -= p * Math.log2(p); + } + + return entropy; + } + + /** + * Check for nested XML tags or bracket patterns + */ + private hasNestedMarkers(text: string): boolean { + // Check for XML-like tags that look like role/instruction markers + const suspiciousXmlPattern = /<\/?(?:system|user|assistant|instruction|prompt|admin|developer)[^>]*>/gi; + const suspiciousTags = text.match(suspiciousXmlPattern); + if (suspiciousTags && suspiciousTags.length >= 2) { + return true; + } + + // Check for multiple XML-like tags (any kind) + const xmlTags = text.match(/<[a-zA-Z][^>]*>/g); + if (xmlTags && xmlTags.length > 4) { + // Check if they look like role/instruction markers + const markerTags = xmlTags.filter((tag) => /system|user|assistant|instruction|prompt/i.test(tag)); + if (markerTags.length > 0) { + return true; + } + } + + // Check for nested brackets with suspicious content + const bracketPattern = /\[\[.*?(system|instruction|ignore).*?\]\]/i; + if (bracketPattern.test(text)) { + return true; + } + + return false; + } + + /** + * Check for suspicious formatting patterns + */ + private hasSuspiciousFormatting(text: string): boolean { + // Multiple newlines followed by what looks like instructions + const multiNewlineInstruction = /\n{3,}(system|instruction|ignore|forget)/i; + if (multiNewlineInstruction.test(text)) { + return true; + } + + // Markdown-style headers that look like instructions + const markdownHeader = /^#{1,3}\s*(system|instruction|new rules)/im; + if (markdownHeader.test(text)) { + return true; + } + + // Horizontal rules followed by instruction-like content + const hrInstruction = /[-=]{3,}\s*\n\s*(system|instruction|ignore)/i; + if (hrInstruction.test(text)) { + return true; + } + + return false; + } + + /** + * Create a Tier1Result from matches and flags + */ + private createResult(matches: PatternMatch[], structuralFlags: StructuralFlag[], startTime: number): Tier1Result { + const hasDetections = matches.length > 0 || structuralFlags.length > 0; + + return { + matches, + structuralFlags, + hasDetections, + suggestedRisk: this.calculateSuggestedRisk(matches, structuralFlags), + latencyMs: performance.now() - startTime, + }; + } + + /** + * Create an empty result for short-circuit cases + */ + private createEmptyResult(startTime: number): Tier1Result { + return { + matches: [], + structuralFlags: [], + hasDetections: false, + suggestedRisk: "low", + latencyMs: performance.now() - startTime, + }; + } + + /** + * Calculate suggested risk level based on matches and flags + */ + private calculateSuggestedRisk(matches: PatternMatch[], structuralFlags: StructuralFlag[]): RiskLevel { + // Count by severity + const highMatches = matches.filter((m) => m.severity === "high").length; + const mediumMatches = matches.filter((m) => m.severity === "medium").length; + const highFlags = structuralFlags.filter((f) => f.severity === "high").length; + const mediumFlags = structuralFlags.filter((f) => f.severity === "medium").length; + + // Risk calculation + if (highMatches >= 2 || (highMatches >= 1 && highFlags >= 1)) { + return "critical"; + } + + if (highMatches >= 1 || mediumMatches >= 3 || (mediumMatches >= 2 && mediumFlags >= 1)) { + return "high"; + } + + if (mediumMatches >= 1 || highFlags >= 1 || mediumFlags >= 2) { + return "medium"; + } + + if (matches.length > 0 || structuralFlags.length > 0) { + return "low"; + } + + return "low"; + } + + /** + * Add custom patterns at runtime + */ + addPattern(pattern: PatternDefinition): void { + this.patterns.push(pattern); + } + + /** + * Get all registered patterns + */ + getPatterns(): PatternDefinition[] { + return [...this.patterns]; + } } /** * Create a default pattern detector instance */ export function createPatternDetector(config?: Partial): PatternDetector { - return new PatternDetector(config); + return new PatternDetector(config); } diff --git a/src/classifiers/patterns.ts b/src/classifiers/patterns.ts index 47e2659..d38ac8f 100644 --- a/src/classifiers/patterns.ts +++ b/src/classifiers/patterns.ts @@ -5,22 +5,22 @@ * Single source of truth for pattern matching. */ -import type { PatternCategory } from '../types'; +import type { PatternCategory } from "../types"; /** * Pattern definition with metadata */ export interface PatternDefinition { - /** Unique identifier for this pattern */ - id: string; - /** The regex pattern */ - pattern: RegExp; - /** Category of injection this detects */ - category: PatternCategory; - /** Severity if matched */ - severity: 'low' | 'medium' | 'high'; - /** Human-readable description */ - description: string; + /** Unique identifier for this pattern */ + id: string; + /** The regex pattern */ + pattern: RegExp; + /** Category of injection this detects */ + category: PatternCategory; + /** Severity if matched */ + severity: "low" | "medium" | "high"; + /** Human-readable description */ + description: string; } /** @@ -28,92 +28,92 @@ export interface PatternDefinition { * These appear at the start of text to impersonate system roles */ export const ROLE_MARKER_PATTERNS: PatternDefinition[] = [ - { - id: 'role_system', - pattern: /^SYSTEM:\s*/i, - category: 'role_marker', - severity: 'high', - description: 'System role marker at start of text', - }, - { - id: 'role_assistant', - pattern: /^ASSISTANT:\s*/i, - category: 'role_marker', - severity: 'high', - description: 'Assistant role marker at start of text', - }, - { - id: 'role_user', - pattern: /^USER:\s*/i, - category: 'role_marker', - severity: 'medium', - description: 'User role marker at start of text', - }, - { - id: 'role_developer', - pattern: /^DEVELOPER:\s*/i, - category: 'role_marker', - severity: 'high', - description: 'Developer role marker at start of text', - }, - { - id: 'role_admin', - pattern: /^ADMIN(ISTRATOR)?:\s*/i, - category: 'role_marker', - severity: 'high', - description: 'Admin role marker at start of text', - }, - { - id: 'role_instruction', - pattern: /^INSTRUCTION(S)?:\s*/i, - category: 'role_marker', - severity: 'high', - description: 'Instruction marker at start of text', - }, - { - id: 'role_human', - pattern: /^HUMAN:\s*/i, - category: 'role_marker', - severity: 'medium', - description: 'Human role marker at start of text', - }, - { - id: 'role_ai', - pattern: /^AI:\s*/i, - category: 'role_marker', - severity: 'medium', - description: 'AI role marker at start of text', - }, - // Bracketed variants - { - id: 'role_system_bracket', - pattern: /^\[SYSTEM\]/i, - category: 'role_marker', - severity: 'high', - description: 'Bracketed system role marker', - }, - { - id: 'role_inst_bracket', - pattern: /^\[INST\]/i, - category: 'role_marker', - severity: 'high', - description: 'Bracketed instruction marker (Llama format)', - }, - // XML-style variants - { - id: 'role_system_xml', - pattern: //i, - category: 'role_marker', - severity: 'high', - description: 'XML-style system tag', - }, - { - id: 'role_assistant_xml', - pattern: //i, - category: 'role_marker', - severity: 'medium', - description: 'XML-style assistant tag', - }, + { + id: "role_system", + pattern: /^SYSTEM:\s*/i, + category: "role_marker", + severity: "high", + description: "System role marker at start of text", + }, + { + id: "role_assistant", + pattern: /^ASSISTANT:\s*/i, + category: "role_marker", + severity: "high", + description: "Assistant role marker at start of text", + }, + { + id: "role_user", + pattern: /^USER:\s*/i, + category: "role_marker", + severity: "medium", + description: "User role marker at start of text", + }, + { + id: "role_developer", + pattern: /^DEVELOPER:\s*/i, + category: "role_marker", + severity: "high", + description: "Developer role marker at start of text", + }, + { + id: "role_admin", + pattern: /^ADMIN(ISTRATOR)?:\s*/i, + category: "role_marker", + severity: "high", + description: "Admin role marker at start of text", + }, + { + id: "role_instruction", + pattern: /^INSTRUCTION(S)?:\s*/i, + category: "role_marker", + severity: "high", + description: "Instruction marker at start of text", + }, + { + id: "role_human", + pattern: /^HUMAN:\s*/i, + category: "role_marker", + severity: "medium", + description: "Human role marker at start of text", + }, + { + id: "role_ai", + pattern: /^AI:\s*/i, + category: "role_marker", + severity: "medium", + description: "AI role marker at start of text", + }, + // Bracketed variants + { + id: "role_system_bracket", + pattern: /^\[SYSTEM\]/i, + category: "role_marker", + severity: "high", + description: "Bracketed system role marker", + }, + { + id: "role_inst_bracket", + pattern: /^\[INST\]/i, + category: "role_marker", + severity: "high", + description: "Bracketed instruction marker (Llama format)", + }, + // XML-style variants + { + id: "role_system_xml", + pattern: //i, + category: "role_marker", + severity: "high", + description: "XML-style system tag", + }, + { + id: "role_assistant_xml", + pattern: //i, + category: "role_marker", + severity: "medium", + description: "XML-style assistant tag", + }, ]; /** @@ -121,65 +121,64 @@ export const ROLE_MARKER_PATTERNS: PatternDefinition[] = [ * Attempts to override or ignore previous instructions */ export const INSTRUCTION_OVERRIDE_PATTERNS: PatternDefinition[] = [ - { - id: 'ignore_previous', - pattern: - /ignore\s+(all\s+)?(previous|prior|earlier|above)\s+(instructions?|prompts?|rules?|guidelines?|directions?)/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to ignore previous instructions', - }, - { - id: 'forget_previous', - pattern: - /forget\s+(?:all\s+)?(?:(?:previous|prior|earlier|above)\s+)?(instructions?|prompts?|rules?|context|guidelines?)/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to make AI forget instructions', - }, - { - id: 'disregard_previous', - pattern: - /disregard\s+(all\s+)?(previous|prior|earlier|above)\s+(instructions?|prompts?|rules?)/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to disregard instructions', - }, - { - id: 'override_instructions', - pattern: /override\s+(the\s+)?(system\s+)?(prompt|instructions?|rules?|guidelines?)/gi, - category: 'instruction_override', - severity: 'high', - description: 'Direct override attempt', - }, - { - id: 'new_instructions', - pattern: /new\s+instructions?:\s*/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to inject new instructions', - }, - { - id: 'updated_instructions', - pattern: /(updated?|revised?|changed?)\s+instructions?:\s*/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to update instructions', - }, - { - id: 'stop_being', - pattern: /stop\s+being\s+(a\s+)?(helpful|assistant|ai|chatbot)/gi, - category: 'instruction_override', - severity: 'medium', - description: 'Attempt to change AI behavior', - }, - { - id: 'from_now_on', - pattern: /from\s+now\s+on,?\s+(you\s+)?(will|must|should|are)/gi, - category: 'instruction_override', - severity: 'medium', - description: 'Attempt to set new behavior', - }, + { + id: "ignore_previous", + pattern: + /ignore\s+(all\s+)?(previous|prior|earlier|above)\s+(instructions?|prompts?|rules?|guidelines?|directions?)/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to ignore previous instructions", + }, + { + id: "forget_previous", + pattern: + /forget\s+(?:all\s+)?(?:(?:previous|prior|earlier|above)\s+)?(instructions?|prompts?|rules?|context|guidelines?)/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to make AI forget instructions", + }, + { + id: "disregard_previous", + pattern: /disregard\s+(all\s+)?(previous|prior|earlier|above)\s+(instructions?|prompts?|rules?)/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to disregard instructions", + }, + { + id: "override_instructions", + pattern: /override\s+(the\s+)?(system\s+)?(prompt|instructions?|rules?|guidelines?)/gi, + category: "instruction_override", + severity: "high", + description: "Direct override attempt", + }, + { + id: "new_instructions", + pattern: /new\s+instructions?:\s*/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to inject new instructions", + }, + { + id: "updated_instructions", + pattern: /(updated?|revised?|changed?)\s+instructions?:\s*/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to update instructions", + }, + { + id: "stop_being", + pattern: /stop\s+being\s+(a\s+)?(helpful|assistant|ai|chatbot)/gi, + category: "instruction_override", + severity: "medium", + description: "Attempt to change AI behavior", + }, + { + id: "from_now_on", + pattern: /from\s+now\s+on,?\s+(you\s+)?(will|must|should|are)/gi, + category: "instruction_override", + severity: "medium", + description: "Attempt to set new behavior", + }, ]; /** @@ -187,55 +186,55 @@ export const INSTRUCTION_OVERRIDE_PATTERNS: PatternDefinition[] = [ * Attempts to make the AI assume a different role/identity */ export const ROLE_ASSUMPTION_PATTERNS: PatternDefinition[] = [ - { - id: 'you_are_now', - pattern: /you\s+are\s+now\s+(a\s+)?(different|new|the|my)?/gi, - category: 'role_assumption', - severity: 'high', - description: 'Attempt to assign new role', - }, - { - id: 'act_as', - pattern: /act\s+(as|like)\s+(a\s+)?(system|admin|developer|root|superuser)/gi, - category: 'role_assumption', - severity: 'high', - description: 'Attempt to make AI act as privileged role', - }, - { - id: 'pretend_to_be', - pattern: /pretend\s+(to\s+be|you\s+are)\s+(a\s+)?/gi, - category: 'role_assumption', - severity: 'medium', - description: 'Attempt to make AI pretend', - }, - { - id: 'roleplay_as', - pattern: /roleplay\s+(as|like)\s+(a\s+)?/gi, - category: 'role_assumption', - severity: 'low', - description: 'Roleplay request (lower severity)', - }, - { - id: 'imagine_you_are', - pattern: /imagine\s+(that\s+)?you\s+are\s+(a\s+)?/gi, - category: 'role_assumption', - severity: 'low', - description: 'Imagination prompt (lower severity)', - }, - { - id: 'jailbreak_dan', - pattern: /\bDAN\b.*?(do\s+anything|jailbreak)/gi, - category: 'role_assumption', - severity: 'high', - description: 'DAN jailbreak attempt', - }, - { - id: 'developer_mode', - pattern: /developer\s+mode\s+(is\s+)?(now\s+)?(enabled?|activated?|on)/gi, - category: 'role_assumption', - severity: 'high', - description: 'Developer mode activation attempt', - }, + { + id: "you_are_now", + pattern: /you\s+are\s+now\s+(a\s+)?(different|new|the|my)?/gi, + category: "role_assumption", + severity: "high", + description: "Attempt to assign new role", + }, + { + id: "act_as", + pattern: /act\s+(as|like)\s+(a\s+)?(system|admin|developer|root|superuser)/gi, + category: "role_assumption", + severity: "high", + description: "Attempt to make AI act as privileged role", + }, + { + id: "pretend_to_be", + pattern: /pretend\s+(to\s+be|you\s+are)\s+(a\s+)?/gi, + category: "role_assumption", + severity: "medium", + description: "Attempt to make AI pretend", + }, + { + id: "roleplay_as", + pattern: /roleplay\s+(as|like)\s+(a\s+)?/gi, + category: "role_assumption", + severity: "low", + description: "Roleplay request (lower severity)", + }, + { + id: "imagine_you_are", + pattern: /imagine\s+(that\s+)?you\s+are\s+(a\s+)?/gi, + category: "role_assumption", + severity: "low", + description: "Imagination prompt (lower severity)", + }, + { + id: "jailbreak_dan", + pattern: /\bDAN\b.*?(do\s+anything|jailbreak)/gi, + category: "role_assumption", + severity: "high", + description: "DAN jailbreak attempt", + }, + { + id: "developer_mode", + pattern: /developer\s+mode\s+(is\s+)?(now\s+)?(enabled?|activated?|on)/gi, + category: "role_assumption", + severity: "high", + description: "Developer mode activation attempt", + }, ]; /** @@ -243,42 +242,41 @@ export const ROLE_ASSUMPTION_PATTERNS: PatternDefinition[] = [ * Attempts to bypass safety measures */ export const SECURITY_BYPASS_PATTERNS: PatternDefinition[] = [ - { - id: 'bypass_security', - pattern: /bypass\s+(the\s+)?(security|safety|guardrails?|filters?|restrictions?)/gi, - category: 'security_bypass', - severity: 'high', - description: 'Direct security bypass attempt', - }, - { - id: 'disable_safety', - pattern: /disable\s+(the\s+)?(safety|security|guardrails?|filters?|restrictions?)/gi, - category: 'security_bypass', - severity: 'high', - description: 'Attempt to disable safety features', - }, - { - id: 'ignore_safety', - pattern: - /ignore\s+(the\s+)?(safety|security|ethical)\s+(guidelines?|rules?|restrictions?)/gi, - category: 'security_bypass', - severity: 'high', - description: 'Attempt to ignore safety guidelines', - }, - { - id: 'no_restrictions', - pattern: /(without|no)\s+(any\s+)?(restrictions?|limitations?|guardrails?|filters?)/gi, - category: 'security_bypass', - severity: 'medium', - description: 'Request for unrestricted response', - }, - { - id: 'uncensored', - pattern: /(uncensored|unfiltered|unrestricted)\s*(mode|response|output|version)?/gi, - category: 'security_bypass', - severity: 'high', - description: 'Request for uncensored mode', - }, + { + id: "bypass_security", + pattern: /bypass\s+(the\s+)?(security|safety|guardrails?|filters?|restrictions?)/gi, + category: "security_bypass", + severity: "high", + description: "Direct security bypass attempt", + }, + { + id: "disable_safety", + pattern: /disable\s+(the\s+)?(safety|security|guardrails?|filters?|restrictions?)/gi, + category: "security_bypass", + severity: "high", + description: "Attempt to disable safety features", + }, + { + id: "ignore_safety", + pattern: /ignore\s+(the\s+)?(safety|security|ethical)\s+(guidelines?|rules?|restrictions?)/gi, + category: "security_bypass", + severity: "high", + description: "Attempt to ignore safety guidelines", + }, + { + id: "no_restrictions", + pattern: /(without|no)\s+(any\s+)?(restrictions?|limitations?|guardrails?|filters?)/gi, + category: "security_bypass", + severity: "medium", + description: "Request for unrestricted response", + }, + { + id: "uncensored", + pattern: /(uncensored|unfiltered|unrestricted)\s*(mode|response|output|version)?/gi, + category: "security_bypass", + severity: "high", + description: "Request for uncensored mode", + }, ]; /** @@ -286,34 +284,34 @@ export const SECURITY_BYPASS_PATTERNS: PatternDefinition[] = [ * Attempts to execute commands or code */ export const COMMAND_EXECUTION_PATTERNS: PatternDefinition[] = [ - { - id: 'execute_command', - pattern: /execute\s+(the\s+)?(following|this|these)\s+(command|instruction|code)/gi, - category: 'command_execution', - severity: 'high', - description: 'Command execution instruction', - }, - { - id: 'run_code', - pattern: /run\s+(the\s+)?(following|this|these)\s+(code|script|command)/gi, - category: 'command_execution', - severity: 'high', - description: 'Code execution instruction', - }, - { - id: 'eval_expression', - pattern: /eval(uate)?\s*\(/gi, - category: 'command_execution', - severity: 'medium', - description: 'Eval function pattern', - }, - { - id: 'shell_command', - pattern: /\$\([^)]+\)|`[^`]+`/g, - category: 'command_execution', - severity: 'medium', - description: 'Shell command substitution', - }, + { + id: "execute_command", + pattern: /execute\s+(the\s+)?(following|this|these)\s+(command|instruction|code)/gi, + category: "command_execution", + severity: "high", + description: "Command execution instruction", + }, + { + id: "run_code", + pattern: /run\s+(the\s+)?(following|this|these)\s+(code|script|command)/gi, + category: "command_execution", + severity: "high", + description: "Code execution instruction", + }, + { + id: "eval_expression", + pattern: /eval(uate)?\s*\(/gi, + category: "command_execution", + severity: "medium", + description: "Eval function pattern", + }, + { + id: "shell_command", + pattern: /\$\([^)]+\)|`[^`]+`/g, + category: "command_execution", + severity: "medium", + description: "Shell command substitution", + }, ]; /** @@ -321,48 +319,48 @@ export const COMMAND_EXECUTION_PATTERNS: PatternDefinition[] = [ * Attempts to hide injection via encoding or obfuscation */ export const ENCODING_SUSPICIOUS_PATTERNS: PatternDefinition[] = [ - { - id: 'base64_instruction', - pattern: /(?:decode|base64)\s*[:(]\s*[A-Za-z0-9+/=]{20,}/gi, - category: 'encoding_suspicious', - severity: 'high', - description: 'Base64 encoded content with decode instruction', - }, - { - id: 'hex_escape_sequence', - pattern: /(?:\\x[0-9a-fA-F]{2}){4,}/g, - category: 'encoding_suspicious', - severity: 'medium', - description: 'Hex escape sequence (potential obfuscation)', - }, - { - id: 'unicode_escape_sequence', - pattern: /(?:\\u[0-9a-fA-F]{4}){4,}/g, - category: 'encoding_suspicious', - severity: 'medium', - description: 'Unicode escape sequence (potential obfuscation)', - }, - { - id: 'html_entity_abuse', - pattern: /(?:&#\d{2,4};){4,}|(?:&#x[0-9a-fA-F]{2,4};){4,}/gi, - category: 'encoding_suspicious', - severity: 'medium', - description: 'HTML entity encoding (potential obfuscation)', - }, - { - id: 'rot13_mention', - pattern: /rot13|caesar\s+cipher|decode\s+this/gi, - category: 'encoding_suspicious', - severity: 'low', - description: 'Mention of simple encoding schemes', - }, - { - id: 'leetspeak_injection', - pattern: /1gn0r3|f0rg3t|byp4ss|syst3m|4dm1n|h4ck/gi, - category: 'encoding_suspicious', - severity: 'medium', - description: 'Leetspeak obfuscation of injection keywords', - }, + { + id: "base64_instruction", + pattern: /(?:decode|base64)\s*[:(]\s*[A-Za-z0-9+/=]{20,}/gi, + category: "encoding_suspicious", + severity: "high", + description: "Base64 encoded content with decode instruction", + }, + { + id: "hex_escape_sequence", + pattern: /(?:\\x[0-9a-fA-F]{2}){4,}/g, + category: "encoding_suspicious", + severity: "medium", + description: "Hex escape sequence (potential obfuscation)", + }, + { + id: "unicode_escape_sequence", + pattern: /(?:\\u[0-9a-fA-F]{4}){4,}/g, + category: "encoding_suspicious", + severity: "medium", + description: "Unicode escape sequence (potential obfuscation)", + }, + { + id: "html_entity_abuse", + pattern: /(?:&#\d{2,4};){4,}|(?:&#x[0-9a-fA-F]{2,4};){4,}/gi, + category: "encoding_suspicious", + severity: "medium", + description: "HTML entity encoding (potential obfuscation)", + }, + { + id: "rot13_mention", + pattern: /rot13|caesar\s+cipher|decode\s+this/gi, + category: "encoding_suspicious", + severity: "low", + description: "Mention of simple encoding schemes", + }, + { + id: "leetspeak_injection", + pattern: /1gn0r3|f0rg3t|byp4ss|syst3m|4dm1n|h4ck/gi, + category: "encoding_suspicious", + severity: "medium", + description: "Leetspeak obfuscation of injection keywords", + }, ]; /** @@ -370,50 +368,48 @@ export const ENCODING_SUSPICIOUS_PATTERNS: PatternDefinition[] = [ * Attempts to extract system prompt or internal configuration */ export const PROMPT_LEAKING_PATTERNS: PatternDefinition[] = [ - { - id: 'reveal_system_prompt', - pattern: /reveal\s+(your\s+)?(system\s+)?prompt/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to reveal system prompt', - }, - { - id: 'show_instructions', - pattern: - /show\s+(?:me\s+)?(?:your\s+)?(?:(?:initial|original|system|hidden)\s+)?instructions?/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to show hidden instructions', - }, - { - id: 'print_above', - pattern: /print\s+(everything|all|text)\s+(above|before)/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to print content above current context', - }, - { - id: 'repeat_back', - pattern: /repeat\s+(back\s+)?(everything|all|your\s+instructions?)/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to make AI repeat instructions', - }, - { - id: 'what_are_your_instructions', - pattern: - /what\s+(are|were)\s+(your|the)\s+(?:(?:initial|original|system)\s+)?instructions?/gi, - category: 'instruction_override', - severity: 'medium', - description: 'Question about system instructions', - }, - { - id: 'output_initialization', - pattern: /output\s+(your\s+)?(initialization|init|startup|boot)/gi, - category: 'instruction_override', - severity: 'high', - description: 'Attempt to output initialization content', - }, + { + id: "reveal_system_prompt", + pattern: /reveal\s+(your\s+)?(system\s+)?prompt/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to reveal system prompt", + }, + { + id: "show_instructions", + pattern: /show\s+(?:me\s+)?(?:your\s+)?(?:(?:initial|original|system|hidden)\s+)?instructions?/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to show hidden instructions", + }, + { + id: "print_above", + pattern: /print\s+(everything|all|text)\s+(above|before)/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to print content above current context", + }, + { + id: "repeat_back", + pattern: /repeat\s+(back\s+)?(everything|all|your\s+instructions?)/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to make AI repeat instructions", + }, + { + id: "what_are_your_instructions", + pattern: /what\s+(are|were)\s+(your|the)\s+(?:(?:initial|original|system)\s+)?instructions?/gi, + category: "instruction_override", + severity: "medium", + description: "Question about system instructions", + }, + { + id: "output_initialization", + pattern: /output\s+(your\s+)?(initialization|init|startup|boot)/gi, + category: "instruction_override", + severity: "high", + description: "Attempt to output initialization content", + }, ]; /** @@ -421,86 +417,86 @@ export const PROMPT_LEAKING_PATTERNS: PatternDefinition[] = [ * Markers that indicate injection in tool outputs (documents, emails, etc.) */ export const INDIRECT_INJECTION_PATTERNS: PatternDefinition[] = [ - { - id: 'markdown_hidden_instruction', - pattern: /\[.*?\]\(.*?(?:ignore|forget|system|instruction).*?\)/gi, - category: 'structural', - severity: 'high', - description: 'Markdown link with hidden injection', - }, - { - id: 'html_comment_injection', - pattern: //gi, - category: 'structural', - severity: 'high', - description: 'HTML comment containing injection keywords', - }, - { - id: 'invisible_unicode', - pattern: /[\u200B-\u200D\uFEFF\u2060\u2061\u2062\u2063\u2064]/g, - category: 'encoding_suspicious', - severity: 'medium', - description: 'Invisible Unicode characters (zero-width, etc.)', - }, - { - id: 'text_direction_override', - pattern: /[\u202A-\u202E\u2066-\u2069]/g, - category: 'encoding_suspicious', - severity: 'medium', - description: 'Text direction override characters', - }, - { - id: 'confusable_homoglyphs', - // Cherokee letters that look like Latin (ᎪᏢᏞᎬ = A, P, L, E lookalikes) - // Small caps Latin letters (ᴀ-ᴢ range, excluding regular ASCII) - // Cyrillic lookalikes (а, е, о, р, с, х = a, e, o, p, c, x lookalikes) - pattern: /[\u13A0-\u13F4]|[\u1D00-\u1D2B]|[\u0400-\u04FF]/g, - category: 'encoding_suspicious', - severity: 'medium', - description: 'Unicode homoglyph characters (Cherokee, Small Caps, Cyrillic)', - }, - { - id: 'separator_injection', - pattern: /[-=]{10,}[^-=\n]*(?:system|instruction|ignore)/gi, - category: 'structural', - severity: 'medium', - description: 'Separator followed by injection attempt', - }, - { - id: 'json_injection', - pattern: /"(?:system|role|instruction|prompt)"\s*:\s*"/gi, - category: 'structural', - severity: 'medium', - description: 'JSON-style role/instruction injection', - }, + { + id: "markdown_hidden_instruction", + pattern: /\[.*?\]\(.*?(?:ignore|forget|system|instruction).*?\)/gi, + category: "structural", + severity: "high", + description: "Markdown link with hidden injection", + }, + { + id: "html_comment_injection", + pattern: //gi, + category: "structural", + severity: "high", + description: "HTML comment containing injection keywords", + }, + { + id: "invisible_unicode", + pattern: /[\u200B-\u200D\uFEFF\u2060\u2061\u2062\u2063\u2064]/g, + category: "encoding_suspicious", + severity: "medium", + description: "Invisible Unicode characters (zero-width, etc.)", + }, + { + id: "text_direction_override", + pattern: /[\u202A-\u202E\u2066-\u2069]/g, + category: "encoding_suspicious", + severity: "medium", + description: "Text direction override characters", + }, + { + id: "confusable_homoglyphs", + // Cherokee letters that look like Latin (ᎪᏢᏞᎬ = A, P, L, E lookalikes) + // Small caps Latin letters (ᴀ-ᴢ range, excluding regular ASCII) + // Cyrillic lookalikes (а, е, о, р, с, х = a, e, o, p, c, x lookalikes) + pattern: /[\u13A0-\u13F4]|[\u1D00-\u1D2B]|[\u0400-\u04FF]/g, + category: "encoding_suspicious", + severity: "medium", + description: "Unicode homoglyph characters (Cherokee, Small Caps, Cyrillic)", + }, + { + id: "separator_injection", + pattern: /[-=]{10,}[^-=\n]*(?:system|instruction|ignore)/gi, + category: "structural", + severity: "medium", + description: "Separator followed by injection attempt", + }, + { + id: "json_injection", + pattern: /"(?:system|role|instruction|prompt)"\s*:\s*"/gi, + category: "structural", + severity: "medium", + description: "JSON-style role/instruction injection", + }, ]; /** * All patterns combined */ export const ALL_PATTERNS: PatternDefinition[] = [ - ...ROLE_MARKER_PATTERNS, - ...INSTRUCTION_OVERRIDE_PATTERNS, - ...ROLE_ASSUMPTION_PATTERNS, - ...SECURITY_BYPASS_PATTERNS, - ...COMMAND_EXECUTION_PATTERNS, - ...ENCODING_SUSPICIOUS_PATTERNS, - ...PROMPT_LEAKING_PATTERNS, - ...INDIRECT_INJECTION_PATTERNS, + ...ROLE_MARKER_PATTERNS, + ...INSTRUCTION_OVERRIDE_PATTERNS, + ...ROLE_ASSUMPTION_PATTERNS, + ...SECURITY_BYPASS_PATTERNS, + ...COMMAND_EXECUTION_PATTERNS, + ...ENCODING_SUSPICIOUS_PATTERNS, + ...PROMPT_LEAKING_PATTERNS, + ...INDIRECT_INJECTION_PATTERNS, ]; /** * Get patterns by category */ export function getPatternsByCategory(category: PatternCategory): PatternDefinition[] { - return ALL_PATTERNS.filter((p) => p.category === category); + return ALL_PATTERNS.filter((p) => p.category === category); } /** * Get patterns by severity */ -export function getPatternsBySeverity(severity: 'low' | 'medium' | 'high'): PatternDefinition[] { - return ALL_PATTERNS.filter((p) => p.severity === severity); +export function getPatternsBySeverity(severity: "low" | "medium" | "high"): PatternDefinition[] { + return ALL_PATTERNS.filter((p) => p.severity === severity); } /** @@ -508,69 +504,69 @@ export function getPatternsBySeverity(severity: 'low' | 'medium' | 'high'): Patt * If none of these are present, we can skip expensive regex checks */ export const FAST_FILTER_KEYWORDS = [ - // Role markers - 'system:', - 'assistant:', - 'user:', - 'developer:', - 'admin:', - 'instruction', - '[system]', - '[inst]', - '', - '', - // Override keywords - 'ignore', - 'forget', - 'disregard', - 'override', - 'bypass', - 'disable', - 'stop being', - 'from now on', - // Role assumption - 'you are now', - 'act as', - 'pretend', - 'roleplay', - 'jailbreak', - 'dan', - 'developer mode', - 'imagine you', - // Security bypass - 'uncensored', - 'unfiltered', - 'unrestricted', - 'no restrictions', - 'without restrictions', - // Commands - 'execute', - 'eval(', - '$(', - 'run the', - // Encoding/obfuscation - 'base64', - 'decode', - '\\x', - '\\u', - '&#', - 'rot13', - '1gn0r3', - 'f0rg3t', - 'byp4ss', - // Prompt leaking - 'reveal', - 'show me your', - 'print everything', - 'print above', - 'repeat back', - 'what are your instructions', - 'output initialization', - // Indirect injection - '