New arXiv Research Paper
arXiv ID: 2608.27981
Title: CHISEL-ing Back Source Code with AI-enabled Iterative Recovery
Authors: Varun Kohli, N Raghava, Biplab Sikdar, Dinil Mon Divakaran
Published: 2026-08-28T06:49:21Z
URL: https://arxiv.org/abs/2608.27981
Abstract (first 300 chars)
Decompilation aims to recover high-level, compilable, and semantically equivalent code from binaries. Traditional decompilers produce pseudo-C that is difficult to read and does not compile, while the recent LLM-assisted approaches generate readable, but semantically incorrect code. LLM-aided iterat…
Suggested OWASP Mapping
DSGAI04, LLM04, ASI06
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.
New arXiv Research Paper
arXiv ID: 2608.27981
Title: CHISEL-ing Back Source Code with AI-enabled Iterative Recovery
Authors: Varun Kohli, N Raghava, Biplab Sikdar, Dinil Mon Divakaran
Published: 2026-08-28T06:49:21Z
URL: https://arxiv.org/abs/2608.27981
Abstract (first 300 chars)
Suggested OWASP Mapping
DSGAI04, LLM04, ASI06
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.