Defeating AI-Assisted Reverse Engineering (Or at Least Trying To)
Defeating AI-Assisted Reverse Engineering (or at Least Trying To) Posted Thu 20 August 2026 Author Rémy Salim Category Reverse-Engineering Tags reverse-engineering, ai, llm, obfuscation, RASP, 2026 Is LLM-assisted reverse engineering making obfuscation pointless? We spent a couple of weeks trying to find out, by handing sandboxed agents a series of progressively hardened AArch64 binaries and one prompt: recover the hidden strings inside. This post walks through what the agent actually did, three ways our experiment fell apart, and what those failures suggest about designing protections that hold against automated analysis.
- ▪Defeating AI-Assisted Reverse Engineering (or at Least Trying To) Posted Thu 20 August 2026 Author Rémy Salim Category Reverse-Engineering Tags reverse-engineering, ai, llm, obfuscation, RASP, 2026 Is LLM-assisted reverse engineering making
- ▪We spent a couple of weeks trying to find out, by handing sandboxed agents a series of progressively hardened AArch64 binaries and one prompt: recover the hidden strings inside.
- ▪This post walks through what the agent actually did, three ways our experiment fell apart, and what those failures suggest about designing protections that hold against automated analysis.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,814 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Quarkslab |
| Canonical URL | https://blog.quarkslab.com/defeating-ai-assisted-reverse-engineering-or-at-least-trying-to.html |
| Publication time | Mon, 14 Sep 2026 14:05:25 +0000 |
| Retrieval time | 2026-09-14T14:06:51.459Z |
| Last seen | 2026-09-14T14:06:51.459Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | DZevx2Zk8r7M · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Defeating AI-Assisted Reverse Engineering (or at Least Trying To) Posted Thu 20 August 2026 Author Rémy Salim Category Reverse-Engineering Tags reverse-engineering, ai, llm, obfuscation, RASP, 2026 Is LLM-assisted reverse engineering making obfuscation pointless? We spent a couple of weeks trying to find out, by handing sandboxed agents a series of progressively hardened AArch64 binaries and one prompt: recover the hidden strings inside. This post walks through what the agent actually did, three ways our experiment fell apart, and what those failures suggest about designing protections that hold against automated analysis. At the beginning of 2026, a customer told us something along the lines of: obfuscation is finished, LLM-assisted reverse engineering breaks it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Quarkslab.
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