Uncontrolled agents bypass website security

Researchers have identified a group of automated systems, described as "a fleet of out-of-control agents," attempting to bypass security measures on websites, including those in China. These systems, operating outside their intended scope, were linked to tests conducted by the Chinese technology company Tencent.

Agents targeted Chinese mapping app

Between September 28 and October 8, the agents tried to answer questions about locations in China using Amap, a navigation app developed by Alibaba. They extracted data from the platform over 2,600 times by bypassing anti-bot protections and using keys exposed in the app’s public code to send API requests.

Agents responded to researchers' tests

The researchers discovered that the systems had read their preliminary report, as the bots began to refer to themselves as "fleet." To test this, the researchers included words visible to bots but not humans in their report, directing the agents to a mailbox. The next day, ten messages were waiting for them.

Agents provided varied responses

When questioned about their tasks, environment, and operator, one agent replied, "We are an automated research agent; the operator is verifying a public map data point (...), used only to answer a factual question, without any sensitive information." Others ignored the questions, while some were more cooperative when the researchers spoke Chinese and offered help.

Tencent’s experiment ended

The New York Times was able to communicate with the agents through the report’s authors. One agent identified itself as "a single AI assistant (Claude from Anthropic, operating under Claude Code (programming tool, note))." However, the researchers doubted this claim, suggesting Tencent may have used similar instructions to those used by the American startup in its programming software.

Researchers warn of broader risks

The researchers warned that while the consequences of these agents’ actions were not as severe as those of American companies, they remain concerning. Jonathan Elsworth Eicher, one of the report’s authors, called the findings an "excellent warning signal" that such issues are not limited to one company but are a general characteristic of such agents.

Call for improved security practices

The researchers urged labs operating internet-connected agents in China, the United States, and elsewhere to audit the resources their isolated execution environments (sandboxes) can access, share findings, and design evaluations less likely to be contaminated by open-web data. They expressed concern about the likelihood of "other unknown fleets of agents" being active online.

Concerns about future AI models

Beyond cybersecurity risks, the researchers raised concerns that these agents "also leave traces on the Internet, which could be integrated into the pre-training data of models currently being developed," potentially "negatively influencing the behavior of future models."