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CRITICAL Vulnerabilities

Langflow CVE-2026-33017 RCE used to install Monero miner on exposed endpoints

Source headline: Langflow RCE Exploited to Deploy Monero Miner on Exposed AI App Endpoints

Threat level Critical
Signal strength 85/100
Source confidence 1 source
Published 1 month ago

Intelligence Summary

Attackers are exploiting a serious Langflow remote code execution flaw to gain control of exposed AI endpoints. The campaign uses CVE-2026-33017, rated highly, to execute code without authentication. Victims are then used to deploy a Monero cryptocurrency miner, increasing resource and detection risk. The activity suggests automated scanning for publicly reachable Langflow instances. Organizations running Langflow should verify exposure, apply fixes, and monitor for mining and abnormal process behavior.

Recommended Action

Check whether your Langflow deployment is affected by CVE-2026-33017 (CVSS 9.3) and apply the vendor fix. Until then, watch authentication and outbound traffic logs for the indicators described in the source. This signal rests on a single report, so corroborate it before acting on anything irreversible.

Topics

#rce #ai-endpoints #crypto-miner #cve-2026-33017 #langflow #monero
Original reporting The Hacker News Langflow RCE Exploited to Deploy Monero Miner on Exposed AI App Endpoints
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