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This article details a critical RCE vulnerability in Marimo, an open-source Python notebook platform widely adopted by data scientists and machine learning teams, allowing attackers to pivot from code execution to AWS credential theft. Although the exploit chain was executed manually rather than by an AI agent, the speed of access to cloud infrastructure highlights significant security risks inherent in developer-focused AI tools. The incident underscores the necessity for rigorous authentication controls in environments where ML workflows intersect with sensitive cloud resources.
Hackers Exploit Marimo RCE to Steal AWS Credentials and Reach Bastion Host in 8 Seconds
Threat actors have been observed exploiting a critical remote code execution vulnerability in the Marimo notebook platform to steal AWS credentials and authenticate to an SSH bastion host within eight seconds. The attack, documented by the Sysdig Threat Research Team, abused CVE-2026-39987, a pre-authentication remote code execution flaw affecting Marimo versions up to and including […] The post Hackers Exploit Marimo RCE to Steal AWS Credentials and Reach Bastion Host in 8 Seconds appeared first on Cyber Security News.
Threat actors have been observed exploiting a critical remote code execution vulnerability in the Marimo notebook platform to steal AWS credentials and authenticate to an SSH bastion host within eight seconds. The attack, documented by the Sysdig Threat Research Team, abused CVE-2026-39987, a pre-authentication remote code execution flaw affecting Marimo versions up to and including 0.20.4. The…
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