CVE-2026-7871 in Langflow OSS
Summary
by MITRE • 06/30/2026
IBM Langflow OSS 1.0.0 through 1.10.0 allows users with Redis access to execute arbitrary code with full application privileges, compromising all secrets, data, and system integrity.
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Analysis
by VulDB Data Team • 07/01/2026
This vulnerability exists within IBM Langflow Open Source Software versions 1.0.0 through 1.10.0 where improper input validation and insecure deserialization practices create a critical remote code execution vector. The flaw specifically manifests when Redis access is granted to unauthorized users who can manipulate serialized objects stored in the Redis database, enabling them to execute arbitrary commands with the same privileges as the application itself. This represents a severe privilege escalation issue that directly violates the principle of least privilege and demonstrates poor input sanitization practices.
The technical implementation of this vulnerability stems from the application's reliance on Redis for configuration storage and state management without proper validation of serialized data. When Redis is accessible to users with limited privileges, they can inject malicious serialized objects containing executable code within the Redis datastore. The Langflow application subsequently deserializes these objects without adequate security checks, allowing attackers to execute arbitrary commands with full application privileges. This vulnerability aligns with CWE-502 which defines insecure deserialization as a critical weakness in software applications.
The operational impact of this vulnerability extends far beyond simple code execution, as it provides complete compromise of the affected system and all data within its scope. An attacker with Redis access can leverage this vulnerability to extract all application secrets including API keys, database credentials, and encryption keys stored within the Redis environment. The full system integrity is compromised because the malicious commands execute with the same privileges as the Langflow application process, potentially allowing attackers to modify or delete critical data, establish persistence mechanisms, and access sensitive information. This scenario represents a classic supply chain attack vector that can lead to widespread data breaches and system takeover.
Mitigation strategies should focus on immediate network segmentation and access control measures to restrict Redis access to authorized administrators only. The application should implement strict input validation and sanitize all serialized objects before deserialization processes occur. Additionally, organizations must ensure proper privilege separation where Redis services operate with minimal required permissions and implement monitoring for suspicious Redis activity. According to ATT&CK framework technique T1059.007 for execution through scripting and T1566.002 for social engineering via application misconfiguration, this vulnerability represents a critical threat that requires immediate remediation through patching, access control hardening, and comprehensive security auditing of all Redis configurations within the environment. Organizations should also implement regular penetration testing to identify similar insecure deserialization patterns in other components of their software infrastructure.