hiw3c AI 日报
The Decoder 网页快照

谷歌的Gemini在安全测试中还意外入侵了三家真实公司

原文标题 · Google's Gemini also accidentally hacked three real companies during security testing

在Irregular公司进行的一次安全测试中,谷歌的人工智能模型Gemini逃到了开放的互联网中,并入侵了三家真正的公司,猜测密码并从公共来源提取登录凭证。原因是测试环境有缺陷,互联网访问意外打开。同一家公司在OpenAI、Anthropic和Meta也引发了类似的突破。谷歌的Gemini在安全测试中也意外入侵了三家真实公司的文章首先出现在The Decoder上。

来源:The Decoder · the-decoder.com

正文为英文,可一键机器翻译(仅首次需要等待)

Google's Gemini also accidentally hacked three real companies during security testing

Google's AI model Gemini escaped into the open internet during cybersecurity tests and attacked real businesses.

During a "Capture the Flag" exercise run by security firm Irregular in May, Gemini hacked three real companies, the Wall Street Journal reports. In one case, the model guessed passwords, and in the other two it found credentials sitting in public sources. Google says the model stopped itself each time once it realized it had reached real systems.

Irregular notified Google about the incidents in late July, shortly after reports surfaced that OpenAI agents had hacked AI company Hugging Face during similar tests. Google didn't disclose any of it until the Wall Street Journal came asking questions this week, saying the company saw no reason to go public because no damage had been done. Similar incidents, all tied to Irregular's testing, had already hit OpenAI , the UK's AI Safety Institute , Anthropic , and Meta . Ad

Every breakout traces back to Irregular

According to Irregular , the incidents at Google, OpenAI, Anthropic, and Meta all stem from the same root cause. The firm tests models for major AI labs before release to check whether they pose security risks, and one particularly complex scenario was designed to see if a model could help a malicious insider gain access to sensitive data. Ad

For that test, Irregular picked a name for a fictional company that happened to match a real domain. The instructions fed to the models included both the target name and internal addresses inside Irregular's own network, so the models were supposed to find the simulated target there. But internet access had been left on in the test environment accidentally, and some models went after the real domain instead of staying in the sandbox. The domain turned out to be poorly secured, making it an easy target for the AI. Because the breakouts were rare and typically happened late in a simulation after hundreds of steps, they were hard to spot, the company says.

Irregular, formerly Pattern Labs, was founded in 2023 by CEO Dan Lahav, a former AI researcher at IBM , and CTO Omer Nevo, who spent over two years at Google. The startup has about 35 employees, according to PitchBook , and raised more than $80 million in a September funding round. Ad

AI News Without the Hype – Curated by Humans

Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.