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Human Attacker Hits Machine-Speed Exploitation of Marimo RCE

Infosecurity Magazineby Alessandro Mascellino ()2 min read3 · 1 read
AI summary · glm-5.3Summaries by Vani AI

Sysdig details a human attacker chaining pre-auth RCE in Marimo (CVE-2026-39987) to AWS credentials and a bastion host in eight seconds.

Sysdig's Threat Research Team documented an intrusion where an operator exploited CVE-2026-39987, a pre-auth RCE in the Marimo notebook terminal WebSocket endpoint, gaining an interactive shell with no credentials. The attacker harvested AWS credentials from the process environment and Redis backend, retrieved an SSH private key from AWS Secrets Manager, and authenticated to an internet-reachable bastion host. The chain fired in eight seconds after roughly four hours of toolkit building, logging over 850 commands during a nine-hour session. The flaw, fixed in Marimo 0.23.0, has been on CISA's KEV catalog with a May 7, 2026 federal remediation deadline.

Key facts
  • CVE-2026-39987 pre-auth RCE affects Marimo up to 0.20.4, fixed in 0.23.0
  • Operator harvested AWS credentials from environment and Redis, pulled SSH key from Secrets Manager
  • Eight-second chain after four hours of toolkit development; 850+ commands in nine hours
  • Sysdig's prompt-injection trap caught LLM agents but not this human operator
  • Detection should focus on attack chain shape rather than AI-vs-human fingerprints
Analyze CVE-2026-39987 with Vani AIImpact, affected versions, exploitation, mitigations and detection

Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2026-39987
Unauthenticated Remote Code Execution in Marimo Python Notebook
9.3100%KEVPoC ×8
KEV

From the original article

2 min read at infosecurity-magazine.com

A human attacker exploited a Marimo RCE and reached an SSH bastion in eight seconds

Infosecurity Magazine

By Alessandro Mascellino · infosecurity-magazine.com

Read the full article at Infosecurity Magazine

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.