INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/25/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Representation Matters: An Empirical Study of Program Representations for LLM Vulnerability Reasoning arXiv:2606.25356v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used for automated vulnerability detection, but it remains unclear how program structure and semantics should be represented for LLM-based reasoning. Most prompting-based approaches provide raw source code, implicitly assuming that more source-level context gives the model better ev…
https://arxiv.org/abs/2606.25356
sha256:32d06bfba55369b91f5c3bb007cfa06c6b731303d0c19aa55e52f018c672b860
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Indicators
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Malware families
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Threat actors mentioned
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ATT&CK techniques
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