Attackers Exploit Critical Langflow and Rails Flaws in Credential
VulnCheck reports active exploitation of critical Langflow CVE-2026-0768 and Rails CVE-2026-66066 for credential harvesting, with detections rising to 360.
Unauthenticated RCE in Langflow /api/v1/validate/code
CISA: Langflow Missing Authentication Vulnerability
Langflow, an open-source visual framework for building LLM and agentic AI applications, contains a missing authentication flaw (CWE-306) in its /api/v1/validate/code endpoint. A remote attacker with network reachability to the endpoint can send crafted HTTP requests without any credentials, causing arbitrary code execution on the server. Successful exploitation yields code execution under the application's privileges, enabling data theft, backdoor installation, and, per CISA, ransomware deployment. Any running Langflow instance is affected; the tool is typically self-hosted by development teams building AI workflows, so real-world exposure depends on whether each instance is reachable from untrusted networks. Exploitation is confirmed in the wild: the flaw was added to CISA's KEV catalog on 2025-05-05 with known ransomware use, EPSS assigns a 100% probability of exploitation within 30 days (100th percentile), and a public PoC is available.
What to do: Upgrade Langflow to the latest patched release identified in the vendor's advisory; federal agencies must apply mitigations per vendor instructions under BOD 22-01 or discontinue use if mitigations are unavailable. Until patched, restrict network access to the /api/v1/validate/code endpoint via reverse-proxy authentication, firewall rules, or VPN placement, and avoid exposing Langflow directly to the internet. Because ransomware use is confirmed, review access and process-execution logs for signs of prior compromise.
| Product | Affected |
|---|---|
| Langflow | — |
Order-of-magnitude estimate by the model from install counts, market share and public scan data it knows; verify before quoting.
Langflow versions prior to 1.3.0 are susceptible to code injection in the /api/v1/validate/code endpoint. A remote and unauthenticated attacker can send crafted HTTP requests to execute arbitrary code.
VulnCheck reports active exploitation of critical Langflow CVE-2026-0768 and Rails CVE-2026-66066 for credential harvesting, with detections rising to 360.
Attackers actively exploit unauthenticated RCE CVE-2026-0768 (CVSS 9.8) in internet-facing Langflow instances to run code as root and steal credentials.
GTIG says AI-found flaws skew toward remote code execution, and attackers hit BeyondTrust CVE-2026-1731 within four days.
SOCRadar documented JADEPUFFER, an AI agent that autonomously executed a ransomware campaign from Langflow exploit through encryption and extortion.
JADEPUFFER-linked Storm-3168 deleted Azure storage, databases, and recovery resources with stolen service principals.
Sysdig links JADEPUFFER, an AI-driven ransomware actor, to ENCFORGE, a new locker encrypting and destroying AI models, training data, and vector databases.
Sysdig's JADEPUFFER ransomware campaign deployed the ENCFORGE Go binary via Langflow CVE-2025-3248 to encrypt AI models, datasets, and vector stores for destruction-based extortion.
Cyble sensors logged exploitation attempts against about 20 flaws as CISA issued 14 ICS advisories.
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