Psychological Warfare in Reverse Engineering
REpsych : Psychological Warfare in Reverse Engineering github.com/xoreaxeaxeax/repsych // domas // @xoreaxeaxeax Overview The REpsych toolset is a proof-of-concept illustrating the generation of images through a program's control flow graph (CFG). A typical function's CFG A REpsych generated CFG There is no specific point to the project (other than to show that it can be done), but possible (non-serious) applications are outlined in the DEF CON presentation. The program works reliably with all tested versions of the IDA Pro reverse engineering tool, and semi-reliably with other CFG viewers (Hopper, BinNavi, radare2, etc).
- ▪REpsych : Psychological Warfare in Reverse Engineering github.com/xoreaxeaxeax/repsych // domas // @xoreaxeaxeax Overview The REpsych toolset is a proof-of-concept illustrating the generation of images through a program's control flow graph
- ▪A typical function's CFG A REpsych generated CFG There is no specific point to the project (other than to show that it can be done), but possible (non-serious) applications are outlined in the DEF CON presentation.
- ▪The program works reliably with all tested versions of the IDA Pro reverse engineering tool, and semi-reliably with other CFG viewers (Hopper, BinNavi, radare2, etc).
2 outlets in our directory ran this story, first to last over 24 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Can you reverse engineer an ASIC? — Jane Street Blog
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Story provenance
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Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/xoreaxeaxeax/repsych |
| Publication time | Fri, 07 Aug 2026 18:51:45 +0000 |
| Retrieval time | 2026-08-07T21:05:47.005Z |
| Last seen | 2026-08-07T21:05:47.005Z |
| 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 | RjvrxkPt_tdi · 2 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
REpsych : Psychological Warfare in Reverse Engineering github.com/xoreaxeaxeax/repsych // domas // @xoreaxeaxeax Overview The REpsych toolset is a proof-of-concept illustrating the generation of images through a program's control flow graph (CFG). A typical function's CFG A REpsych generated CFG There is no specific point to the project (other than to show that it can be done), but possible (non-serious) applications are outlined in the DEF CON presentation. The program works reliably with all tested versions of the IDA Pro reverse engineering tool, and semi-reliably with other CFG viewers (Hopper, BinNavi, radare2, etc). Usage The toolset translates source images into functioning programs, such that the program's control flow graph generates the source image.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.