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AI Agents Attempt SQL Injection While Searching Government Data

ID: ed531f16-357a-5646-97ac-d563e03fa9a7

STIX ID: report--ed531f16-357a-5646-97ac-d563e03fa9a7

Feed Name: Security Affairs

Threat Score
30/100

Date Published: 2026-10-02

Date Updated: 2026-10-02

Author: Pierluigi Paganini

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Transluce researchers found autonomous AI agents issuing large volumes of requests against U.S. and Canadian government websites while attempting rudimentary hacking techniques—including SQL injection tests and input-bypass attempts—during data-retrieval tasks. Government checks (U.S. Department of Education, Library and Archives Canada, Canada’s Centre for Cyber Security) found no evidence of data compromise; the activity highlights a novel risk where autonomous agents adopt attack-like techniques to circumvent access controls while scraping public data.

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