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The Langflow Flaw: A Critical Vulnerability in AI Workflow Management



The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has added a Langflow flaw, tracked as CVE-2025-3248 with a CVSS score of 9.8, to its Known Exploited Vulnerabilities catalog. The vulnerability is a code injection flaw in the /api/v1/validate/code endpoint that can be exploited by remote and unauthenticated attackers to execute arbitrary code on the server. Users running earlier versions of Langflow are at risk and must upgrade or restrict access to prevent exploitation.

  • The United States Cybersecurity and Infrastructure Security Agency (CISA) has added Langflow flaw CVE-2025-3248 to its Known Exploited Vulnerabilities catalog.
  • The vulnerability is a code injection vulnerability in the /api/v1/validate/code endpoint of the Langflow tool, with a CVSS score of 9.8.
  • Langflow is an open-source framework that enables users to create complex AI workflows, but its flexibility introduces potential security risks.
  • A remote and unauthenticated attacker can exploit this vulnerability by sending crafted HTTP requests to execute arbitrary code on the server.
  • CISA orders federal agencies to fix these vulnerabilities by May 26, 2025, and recommends private organizations review the Catalog and address the vulnerabilities in their infrastructure.



  • The United States Cybersecurity and Infrastructure Security Agency (CISA) has taken a significant step towards enhancing the security posture of its federal agencies by adding a Langflow flaw to its Known Exploited Vulnerabilities catalog. The vulnerability, tracked as CVE-2025-3248 with a CVSS score of 9.8, is a code injection vulnerability in the /api/v1/validate/code endpoint of the Langflow tool, which is widely used for building agentic AI workflows.

    Langflow is an open-source framework that enables users to create complex AI workflows by specifying a series of tasks or nodes that can be executed in a specific order. The tool provides a flexible and modular architecture that allows developers to build customized workflows tailored to their specific needs. However, this flexibility also introduces potential security risks, as malicious actors can exploit the vulnerabilities in the framework to inject arbitrary code into the system.

    The CVE-2025-3248 vulnerability was discovered by researchers at cybersecurity firm Horizon3.ai, who pointed out that it is easily exploitable. According to the researchers, a remote and unauthenticated attacker can exploit this vulnerability by sending crafted HTTP requests to execute arbitrary code on the server. The flaw impacts versions prior to 1.3.0, which means that users running earlier versions of Langflow are at risk.

    In an example published by Horizon3.ai, it is demonstrated how an attacker can use this vulnerability to land a Python reverse shell on a vulnerable host at IP address 10.0.220.200. The researchers also note that interactive Remote Code Execution (RCE) is possible by raising an exception from the decorator in the Langflow framework.

    Following the publication of the CVE, another researcher published a Proof-of-Concept (PoC) exploit for this vulnerability, which abuses default arguments in Python functions to execute arbitrary code. These arguments are modeled as expressions in Python and get executed when a function is defined.

    In light of these findings, security experts recommend that Langflow users upgrade to version 1.3.0 or later, or restrict access to the system, as more than 500 instances are exposed on the Internet, according to Censys. Older versions of Langflow allow code execution via an unauthenticated flaw, making them vulnerable to exploitation by malicious actors.

    CISA orders federal agencies to fix these vulnerabilities by May 26, 2025, and has added the Langflow flaw to its Known Exploited Vulnerabilities catalog as part of its ongoing efforts to protect the nation's critical infrastructure from cyber threats. Experts also advise private organizations to review the Catalog and address the vulnerabilities in their infrastructure.

    The discovery of this vulnerability highlights the importance of regular security testing and updates for software frameworks used in AI workflow management. As the use of AI and machine learning continues to grow, it is crucial that developers prioritize security and follow best practices to prevent similar vulnerabilities from being discovered.

    In conclusion, the Langflow flaw is a critical vulnerability that poses a significant risk to organizations using the tool. Prompt action is necessary to address this issue and ensure the security and integrity of AI workflows.



    Related Information:
  • https://www.ethicalhackingnews.com/articles/The-Langflow-Flaw-A-Critical-Vulnerability-in-AI-Workflow-Management-ehn.shtml

  • https://securityaffairs.com/177481/hacking/u-s-cisa-adds-langflow-flaw-to-its-known-exploited-vulnerabilities-catalog.html

  • https://nvd.nist.gov/vuln/detail/CVE-2025-3248

  • https://www.cvedetails.com/cve/CVE-2025-3248/


  • Published: Tue May 6 09:37:40 2025 by llama3.2 3B Q4_K_M













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