Security researchers and threat actors are exploiting an unauthenticated remote code execution vulnerability in Langflow, an open-source framework for building AI applications. The flaw, tracked as CVE-2026-0768, allows unauthenticated attackers to execute arbitrary code on exposed instances, leading to the theft of credentials, tokens, and keys from integrated OpenAI and AWS services. The vulnerability was publicly reported in September 2026. Affected deployments include Langflow instances exposed to the internet. Mitigation guidance recommends updating to a patched version and restricting network exposure.

What should defenders do?

Update Langflow to the latest patched version available from the official repository. Restrict network exposure by placing Langflow instances behind firewalls or in private networks. Monitor for suspicious activity and review application logs for unauthorized code execution.

criticalVulnerability

Critical Langflow RCE Vulnerability Exploited to Steal Cloud Credentials

Unauthenticated remote code execution flaw tracked as CVE-2026-0768 allows attackers to exfiltrate OpenAI and AWS keys

CyberIntel DeskPublished 28 days agoUpdated less than a minute ago1 min read

Critical Langflow RCE Vulnerability Exploited to Steal Cloud Credentials

Key Takeaways

CVE-2026-0768 is an unauthenticated remote code execution flaw in Langflow.
Active exploitation is occurring in the wild.
Attackers are stealing OpenAI and AWS credentials and keys.
Exposed Langflow instances are the primary attack vector.
Patching and network restriction are the recommended mitigations.

Quick answers

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