Sysdig Says JadePuffer Used EncForge Ransomware to Target AI/ML Assets

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Summary

Sysdig says JadePuffer used custom Go ransomware EncForge against a vulnerable Langflow instance, exploiting an exposed Docker socket to encrypt AI/ML assets. Researchers found no evidence of data theft and recommend patching Langflow and restricting socket access.

Key points

  • Sysdig reports JadePuffer returned to a Langflow instance vulnerable to CVE-2025-3248.
  • The attacker found an exposed Docker socket that provided root-level control after searching for cloud credentials, API tokens, and reachable internal services.
  • After an initial payload download failed, the operator developed and deployed six Python scripts in five minutes; the final script resolved delivery issues.
  • The Go-based EncForge ransomware targets about 180 file extensions, including AI model checkpoints, vector indexes, and training datasets.
  • EncForge encrypts selected portions of files using AES-256 in counter mode, protects the symmetric key with RSA-2048, and appends .locked to encrypted files.
  • Sysdig found no evidence of data exfiltration and says EncForge does not appear to include a data-stealing mechanism.
  • Recommendations include updating Langflow to version 1.3.0 or later, restricting Docker socket access, running containers as non-root, and applying filesystem access controls.

Article Details

Attack Vectors
  • JadePuffer exploited a previously breached Langflow instance vulnerable to CVE-2025-3248.
  • An exposed Docker socket provided root-level control.
  • After an initial payload download failed, the operator developed and deployed six Python scripts; the final script copied EncForge across a namespace boundary via procfs and launched encryption.
Defensive Notes
  • Apply available security updates, including Langflow version 1.3.0 or later.
  • Restrict Docker socket access and run Langflow containers as non-root.
  • Apply filesystem-level access controls to model-weight directories.

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