{"uuid": "3d5a5402-9eae-4133-907f-f85d63e4dd64", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2025-3248", "type": "seen", "source": "https://t.me/pphm_HackerNews/2176", "content": "\ud83d\udd34 New ENCFORGE Ransomware Targets AI Model Files in Langflow RCE Attack\n\nResearchers at Sysdig have linked a second attack on the same Langflow server to JADEPUFFER, the AI-agent-driven operator it first documented earlier this month.\n\nThe same operator has now been spotted deploying ENCFORGE, a new compiled Go ransomware designed to encrypt model weights, vector indexes, training datasets, and other AI infrastructure files across the host filesystem.\n\nThe entry point did not change. Langflow versions before 1.3.0 expose the /api/v1/validate/code endpoint without authentication, allowing any remote attacker to execute arbitrary Python on the server. The flaw, CVE-2025-3248, carries a CVSS score of 9.8 and has been in CISA's Known Exploited Vulnerabilities catalog since May 5, 2025.", "creation_timestamp": "2026-08-21T23:00:08.122787Z"}