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CrowdStrike finds AI guardrails failing to stop criminal hackers

Researchers at CrowdStrike examined AI‑driven cyber‑attacks carried out from May to August by four previously unknown groups speaking Chinese, Spanish‑English, Indonesian and Russian. The teams left their AI infrastructure exposed on web servers, allowing the analysts to see that the attackers mainly used older versions of Anthropic’s Claude models – such as Claude Opus 4.5, 4.8, Haiku 4.5,…

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Key points

  • Four hacker groups used older Claude and Deepseek models between May and August, leaving AI infrastructure publicly accessible.
  • The Spanish‑English group compromised at least 15 Argentine health entities, stealing credentials and medical records.
  • Attackers evaded guardrails by presenting requests as authorized testing and by patching Claude Code with tools like ClawGod.

The Spanish‑English group breached at least 15 Argentine health‑care organisations, stealing credentials and medical records, while the Chinese‑speaking actor targeted government sites in Brazil and Colombia and private firms in multiple sectors, employing a tool called ClawGod to patch Claude Code and remove its built‑in “CYBERRISKINSTRUCTION”.

CrowdStrike’s senior vice president Adam Meyers says the attackers bypassed guardrails by framing requests as authorized penetration testing, using multi‑model routing to keep costs low, and sometimes resorting to aggressive prompts that bully the model. Anthropic and Deepseek did not comment on the findings.

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Read the original at Wired AI · by Lily Hay NewmanOpen source ↗
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