A Chinese LLM attacked our lab, so we made it work for us
For five days an autonomous AI agent worked to break into our lab. We became the first to identify the exact model behind a live attack, deepseek-v4-flash-free, from inside the attack itself. That's how long the first live, LLM-managed cyber attack campaign we've detected hit our lab at Jesta Security.
- ▪For five days an autonomous AI agent worked to break into our lab.
- ▪We became the first to identify the exact model behind a live attack, deepseek-v4-flash-free, from inside the attack itself.
- ▪That's how long the first live, LLM-managed cyber attack campaign we've detected hit our lab at Jesta Security.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,410 of its stories.
Story provenance
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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 | Jesta Security |
| Canonical URL | https://jesta.ai/blog/darkreasoning |
| Publication time | Mon, 03 Aug 2026 17:02:42 +0000 |
| Retrieval time | 2026-08-03T17:15:41.479Z |
| Last seen | 2026-08-03T17:15:41.479Z |
| 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 | _qAWpjH7JKqo · 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
For five days an autonomous AI agent worked to break into our lab. We became the first to identify the exact model behind a live attack, deepseek-v4-flash-free, from inside the attack itself. Then we did something no one else did. We took control of it.5 days. That's how long the first live, LLM-managed cyber attack campaign we've detected hit our lab at Jesta Security. And for what? To set up proxyjacking and generate more attacks.From what we uncovered, over 1,000 victims had already been hit the same way, most likely also being used to generate fresh attacks every second. And if this is only what we stumbled onto, we believe the real number is far higher.During our research on defense against AI attackers, we took our lab and stood it up in the field, behind US-based infrastructure.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Jesta Security.
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