Vulnerable Library - deltalake-0.18.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730130652/.ws-temp-PDFBNV-requirements.txt
Path to vulnerable library: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt,/tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730130652/.ws-temp-PDFBNV-requirements.txt
Found in HEAD commit: 87a13d860d4a829b6ba08600703e5d866e1b44d4
Vulnerabilities
| Vulnerability |
Severity |
CVSS |
Dependency |
Type |
Fixed in (deltalake version) |
Remediation Possible** |
| CVE-2024-52338 |
Critical |
9.8 |
pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl |
Transitive |
N/A* |
❌ |
| CVE-2026-25087 |
High |
7.0 |
pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl |
Transitive |
N/A* |
❌ |
*For some transitive vulnerabilities, there is no version of direct dependency with a fix. Check the "Details" section below to see if there is a version of transitive dependency where vulnerability is fixed.
**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation
Details
CVE-2024-52338
Vulnerable Library - pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl
Python library for Apache Arrow
Library home page: https://files.pythonhosted.org/packages/e0/84/8a80b9ed7f595073ee920c2eafaecaeda4b8adffee8dcb88275fce4609d8/pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl
Path to dependency file: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt
Path to vulnerable library: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt,/tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730130652/.ws-temp-PDFBNV-requirements.txt
Dependency Hierarchy:
- deltalake-0.18.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (Root Library)
- ❌ pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl (Vulnerable Library)
Found in HEAD commit: 87a13d860d4a829b6ba08600703e5d866e1b44d4
Found in base branch: main
Vulnerability Details
Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary code execution. An application is vulnerable if it
reads Arrow IPC, Feather or Parquet data from untrusted sources (for
example, user-supplied input files). This vulnerability only affects the arrow R package, not other Apache Arrow
implementations or bindings unless those bindings are specifically used via the R package (for example, an R application that embeds a Python interpreter and uses PyArrow to read files from untrusted sources is still vulnerable if the arrow R package is an affected version). It is recommended that users of the arrow R package upgrade to 17.0.0 or later. Similarly, it
is recommended that downstream libraries upgrade their dependency
requirements to arrow 17.0.0 or later. If using an affected
version of the package, untrusted data can read into a Table and its internal to_data_frame() method can be used as a workaround (e.g., read_parquet(..., as_data_frame = FALSE)$to_data_frame()).
This issue affects the Apache Arrow R package: from 4.0.0 through 16.1.0.
Users are recommended to upgrade to version 17.0.0, which fixes the issue.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2024-11-28
URL: CVE-2024-52338
CVSS 3 Score Details (9.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
For more information on CVSS3 Scores, click here.
Suggested Fix
Type: Upgrade version
Release Date: 2024-11-28
Fix Resolution: https://github.com/apache/arrow.git - apache-arrow-17.0.0,arrow - 17.0.0
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CVE-2026-25087
Vulnerable Library - pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl
Python library for Apache Arrow
Library home page: https://files.pythonhosted.org/packages/e0/84/8a80b9ed7f595073ee920c2eafaecaeda4b8adffee8dcb88275fce4609d8/pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl
Path to dependency file: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt
Path to vulnerable library: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt,/tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730130652/.ws-temp-PDFBNV-requirements.txt
Dependency Hierarchy:
- deltalake-0.18.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (Root Library)
- ❌ pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl (Vulnerable Library)
Found in HEAD commit: 87a13d860d4a829b6ba08600703e5d866e1b44d4
Found in base branch: main
Vulnerability Details
Use After Free vulnerability in Apache Arrow C++.
This issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a "std::shared_ptr" object) that is written to the dangling pointer is not under direct control of the attacker.
Pre-buffering is disabled by default but can be enabled using a specific C++ API call ("RecordBatchFileReader::PreBufferMetadata"). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.
The most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.
Advice for users of Arrow C++:
- check whether you enable pre-buffering on the IPC file reader (using "RecordBatchFileReader::PreBufferMetadata")
- if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable
Publish Date: 2026-02-17
URL: CVE-2026-25087
CVSS 3 Score Details (7.0)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: Low
- Integrity Impact: Low
- Availability Impact: High
For more information on CVSS3 Scores, click here.
Suggested Fix
Type: Upgrade version
Origin: https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh
Release Date: 2026-02-17
Fix Resolution: arrow - 23.0.1,https://github.com/apache/arrow.git - apache-arrow-23.0.1
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Path to dependency file: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730130652/.ws-temp-PDFBNV-requirements.txt
Path to vulnerable library: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt,/tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730130652/.ws-temp-PDFBNV-requirements.txt
Found in HEAD commit: 87a13d860d4a829b6ba08600703e5d866e1b44d4
Vulnerabilities
*For some transitive vulnerabilities, there is no version of direct dependency with a fix. Check the "Details" section below to see if there is a version of transitive dependency where vulnerability is fixed.
**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation
Details
Vulnerable Library - pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl
Python library for Apache Arrow
Library home page: https://files.pythonhosted.org/packages/e0/84/8a80b9ed7f595073ee920c2eafaecaeda4b8adffee8dcb88275fce4609d8/pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl
Path to dependency file: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt
Path to vulnerable library: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt,/tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730130652/.ws-temp-PDFBNV-requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 87a13d860d4a829b6ba08600703e5d866e1b44d4
Found in base branch: main
Vulnerability Details
Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary code execution. An application is vulnerable if it
reads Arrow IPC, Feather or Parquet data from untrusted sources (for
example, user-supplied input files). This vulnerability only affects the arrow R package, not other Apache Arrow
implementations or bindings unless those bindings are specifically used via the R package (for example, an R application that embeds a Python interpreter and uses PyArrow to read files from untrusted sources is still vulnerable if the arrow R package is an affected version). It is recommended that users of the arrow R package upgrade to 17.0.0 or later. Similarly, it
is recommended that downstream libraries upgrade their dependency
requirements to arrow 17.0.0 or later. If using an affected
version of the package, untrusted data can read into a Table and its internal to_data_frame() method can be used as a workaround (e.g., read_parquet(..., as_data_frame = FALSE)$to_data_frame()).
This issue affects the Apache Arrow R package: from 4.0.0 through 16.1.0.
Users are recommended to upgrade to version 17.0.0, which fixes the issue.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2024-11-28
URL: CVE-2024-52338
CVSS 3 Score Details (9.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
For more information on CVSS3 Scores, click here.Suggested Fix
Type: Upgrade version
Release Date: 2024-11-28
Fix Resolution: https://github.com/apache/arrow.git - apache-arrow-17.0.0,arrow - 17.0.0
Step up your Open Source Security Game with Mend here
Vulnerable Library - pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl
Python library for Apache Arrow
Library home page: https://files.pythonhosted.org/packages/e0/84/8a80b9ed7f595073ee920c2eafaecaeda4b8adffee8dcb88275fce4609d8/pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl
Path to dependency file: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt
Path to vulnerable library: /tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730131321/.ws-temp-MPQIJO-requirements.txt,/tmp/ws-ua_20240730130235_KVVOZT/cmd_NQQTWK/20240730130652/.ws-temp-PDFBNV-requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 87a13d860d4a829b6ba08600703e5d866e1b44d4
Found in base branch: main
Vulnerability Details
Use After Free vulnerability in Apache Arrow C++.
This issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a "std::shared_ptr" object) that is written to the dangling pointer is not under direct control of the attacker.
Pre-buffering is disabled by default but can be enabled using a specific C++ API call ("RecordBatchFileReader::PreBufferMetadata"). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.
The most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.
Advice for users of Arrow C++:
Publish Date: 2026-02-17
URL: CVE-2026-25087
CVSS 3 Score Details (7.0)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: Low
- Integrity Impact: Low
- Availability Impact: High
For more information on CVSS3 Scores, click here.Suggested Fix
Type: Upgrade version
Origin: https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh
Release Date: 2026-02-17
Fix Resolution: arrow - 23.0.1,https://github.com/apache/arrow.git - apache-arrow-23.0.1
Step up your Open Source Security Game with Mend here