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This autonomous AI security agent successfully exploited a critical injection flaw in Snowflake's GitHub Actions workflow, bypassing standard scanners like GitHub Advanced Security to exfiltrate internal Jira credentials. The incident highlights significant risks associated with LLM-generated code and the limitations of current automated vulnerability detection systems when handling complex shell scripting logic. For the industry, this underscores the urgent need for enhanced human oversight in CI/CD pipelines where AI tools are actively shaping deployment artifacts.
AI Agent Hacks Snowflake GitHub Workflow and Reaches Internal Jira
An autonomous AI security agent built by Wiz Research has demonstrated how quickly a single overlooked line of shell code can cascade into a full credential leak. The tool, known as Wiz Red Agent, independently discovered, exploited, and validated a critical GitHub Actions injection flaw in Snowflake’s public repository, snowflake-connector-net, ultimately gaining read access to […] The post AI Agent Hacks Snowflake GitHub Workflow and Reaches Internal Jira appeared first on Cyber Security News.
An autonomous AI security agent built by Wiz Research has demonstrated how quickly a single overlooked line of shell code can cascade into a full credential leak. The tool, known as Wiz Red Agent, independently discovered, exploited, and validated a critical GitHub Actions injection flaw in Snowflake’s public repository, snowflake-connector-net, ultimately gaining read access to…
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