Chinese Hackers Created a 'Near-Autonomous' Attack Using Open-Source AI
In a disturbing sign, Chinese hackers used open-source AI to create a “near-autonomous attack” capable of stealing data from government agencies. The attack was so efficient that it cracked 85 government accounts through password guessing, pilfered thousands of records, and even discovered access vulnerabilities in a government web application, all within about four days, according to Israeli cybersecurity provider Dream. The attack was launched through a hacker-created software framework that harnesses the free and open-source AI agents Hermes and OpenClaw, which can run autonomously on a computer.
- ▪In a disturbing sign, Chinese hackers used open-source AI to create a “near-autonomous attack” capable of stealing data from government agencies.
- ▪The attack was so efficient that it cracked 85 government accounts through password guessing, pilfered thousands of records, and even discovered access vulnerabilities in a government web application, all within about four days, according t
- ▪The attack was launched through a hacker-created software framework that harnesses the free and open-source AI agents Hermes and OpenClaw, which can run autonomously on a computer.
3 outlets in our directory ran this story, first to last over 10 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Suspected China-linked hackers used AI to run the first-ever end-to-end autonomous cyberattack on Taiwan's government, Israeli firm says — open-source-built tool continuously devised effective hack strategies in real-time — Tom's Hardware
- ▪ Researchers say suspected Chinese hackers used open-source AI agents to build an autonomous hacking tool that compromised Taiwanese government websites in July (Tom Wilson/Financial Times) — Techmeme
PCMag files mainly under tech. We currently carry 508 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | PCMag |
| Canonical URL | https://www.pcmag.com/news/chinese-hackers-created-a-near-autonomous-attack-using-open-source-ai |
| Publication time | Wed, 12 Aug 26 15:06:52 +0000 |
| Retrieval time | 2026-08-12T15:11:32.495Z |
| Last seen | 2026-08-12T15:11:32.495Z |
| 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 | QwSOBRpSqBst · 3 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
In a disturbing sign, Chinese hackers used open-source AI to create a “near-autonomous attack” capable of stealing data from government agencies. The attack was so efficient that it cracked 85 government accounts through password guessing, pilfered thousands of records, and even discovered access vulnerabilities in a government web application, all within about four days, according to Israeli cybersecurity provider Dream. The attack was launched through a hacker-created software framework that harnesses the free and open-source AI agents Hermes and OpenClaw, which can run autonomously on a computer.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at PCMag.
Discussion
0 commentsMore from PCMag
