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This article details active exploitation of a critical remote code execution flaw in Langflow, a low-code platform specifically designed for building AI agents and workflow automations. The vulnerability allows unauthenticated attackers to harvest credentials for OpenAI APIs and AWS resources, directly threatening the infrastructure underpinning many AI development pipelines. For the AI community, this highlights the urgent need to secure the supply chain of tools used to construct and deploy machine learning models.
Hackers Actively Exploiting Critical Langflow RCE and Rails Vulnerability
Two critical vulnerabilities affecting Langflow and Ruby on Rails deployments are being actively exploited, with attackers quickly moving from public disclosure to reconnaissance, secret harvesting, and potential remote code execution, according to VulnCheck telemetry. The first issue, tracked as CVE-2026-0768, affects Langflow, a low-code platform for building AI-powered applications, agents, and workflow automations. VulnCheck observed […] The post Hackers Actively Exploiting Critical Langflow RCE and Rails Vulnerability appeared first on Cyber Security News.
Two critical vulnerabilities affecting Langflow and Ruby on Rails deployments are being actively exploited, with attackers quickly moving from public disclosure to reconnaissance, secret harvesting, and potential remote code execution, according to VulnCheck telemetry. The first issue, tracked as CVE-2026-0768, affects Langflow, a low-code platform for building AI-powered applications, agents, and workflow automations.…
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