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Captured record
report:3772:titlearXiv — Cryptography & Security (cs.CR) recorded this headline on Aug 26, 2026. No lawful structured evidence is available yet to explain the underlying event.
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source brief
source-authored · cleanedarXiv:2608.24269v1 Announce Type: cross Abstract: Taint analysis is a fundamental technique for detecting sensitive data leaks in Android apps. However, traditional static tools, such as FlowDroid, still face well-known challenges due to the complexity of accurately modeling the Android framework. In this paper, we investigate whether off-the-shelf Large Language Models (LLMs) can effectively reason about taint flows in Android apps. Our preliminary approach relies on an agentic interaction strategy, enabling the LLM to iteratively explore code and reason about data flows. We conduct an initia
Cleaned from source-provided descriptive text. This is not independent Forensia analysis. Open the original for the publisher's complete reporting.· sha256:aadc8d0916e9c446…
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evidence set
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rights & provenance
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