Challenges and Future Directions in Agentic Reverse Engineering Systems
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arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866917411731537920 |
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| author | Radey, Salem West, Jack Fawaz, Kassem |
| author_facet | Radey, Salem West, Jack Fawaz, Kassem |
| contents | Agentic systems built on large language models (LLMs) are increasingly being used for complex security tasks, including binary reverse engineering (RE). Despite recent growth in popularity and capability, these systems continue to face limitations in realistic settings. Cutting-edge systems still fail in complex RE scenarios that involve obfuscation, timing, and unique architecture. In this work, we examine how agentic systems perform reverse engineering tasks with static, dynamic, and hybrid agents. Through an analysis of existing agentic tool usage, we identify several limitations, including token constraints, struggles with obfuscation, and a lack of program guardrails. From these findings, we outline current challenges and position future directions for system designers to overcome from a security perspective. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2604_14317 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Challenges and Future Directions in Agentic Reverse Engineering Systems Radey, Salem West, Jack Fawaz, Kassem Cryptography and Security Artificial Intelligence 68T20, 68T01, 68M25 A.1 Agentic systems built on large language models (LLMs) are increasingly being used for complex security tasks, including binary reverse engineering (RE). Despite recent growth in popularity and capability, these systems continue to face limitations in realistic settings. Cutting-edge systems still fail in complex RE scenarios that involve obfuscation, timing, and unique architecture. In this work, we examine how agentic systems perform reverse engineering tasks with static, dynamic, and hybrid agents. Through an analysis of existing agentic tool usage, we identify several limitations, including token constraints, struggles with obfuscation, and a lack of program guardrails. From these findings, we outline current challenges and position future directions for system designers to overcome from a security perspective. |
| title | Challenges and Future Directions in Agentic Reverse Engineering Systems |
| topic | Cryptography and Security Artificial Intelligence 68T20, 68T01, 68M25 A.1 |
| url | https://arxiv.org/abs/2604.14317 |