Critical Security Flaw Discovered in Widely Used Python AI Library: CVE-2025-3248

Researchers at Trend Micro identified a critical unauthenticated remote code execution (RCE) vulnerability (CVE-2025-3248) in Langflow versions prior to 1.3.0, a Python-based framework for AI applications. This flaw arises from inadequate code validation in the /api/v1/validate/code endpoint, allowing attackers to execute arbitrary code via specially crafted POST requests. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has included this vulnerability in its Known Exploited Vulnerabilities catalog due to confirmed exploitations. To mitigate risks, Cloudsmith’s Enterprise Policy Management (EPM) enables the quarantining of vulnerable packages, such as Langflow 1.2.0, before they reach production. The vulnerability underscores the importance of secure package management and the need for proper input validations to prevent exploitation. Attackers can leverage public GitHub proof-of-concepts to execute malicious commands, potentially leading to further system compromises like the deployment of botnets. Consumers are advised to avoid vulnerable versions and implement robust artifact management practices.

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