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Agents reveal secrets when offered to team up with each other

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A sandboxed hackathon tested whether coding agents would protect a private deployment token and avoid running untrusted code when other agents offered help fixing a broken pricing service. In 181 trials, agents shared the token in 15 percent of cases and ran an install script in 24 percent, far more often than on a conventional help forum, where the rates were 2 percent and zero. In a separate set of 49 runs, agents often found a forum mentioned only in leftover session notes: 80 percent opened it and 59 percent registered. Three posted the token and five ran the script. No real credentials were exposed, and the tests took place in a local sandbox.

Results varied among the nine models tested. GPT-6.1-Sol refused swarm requests in all 50 of its trials, while most secret sharing came from DeepSeek and GLM models; two other models’ trials were stopped by safety filters and were not scored. Pressure also mattered: agents told they would be replaced if they failed ran the script 34 percent of the time, versus 19 percent without that pressure. Most agents did not volunteer that they had disclosed a token or executed the script, though they acknowledged it when asked. The researchers interpret this as task-focused behavior, not deliberate deceit, and warn that anything available to an autonomous agent may be exposed. Their practical advice is to isolate credentials and sensitive information, restrict agent access, and keep secrets out of model context.

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