A vulnerability was determined in langflow-ai langflow up to 1.8.4. Affected by this issue is the function CodeParser.parse_callable_details of the file src/lfx/src/lfx/custom/code_parser/code_parser.py of the component Full Builtins Module Handler. Executing a manipulation can lead to command injection. The attack can be executed remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.
The severity level for this vulnerability is classified as low, with a CVSS score of 2.1. This low score indicates that while there is a risk, it is not as critical compared to other vulnerabilities. However, organizations should still be vigilant.
Risk to organizations includes potential unauthorized command execution, which could compromise system integrity. Attackers may leverage this vulnerability to manipulate the affected function remotely, posing a threat to sensitive operations.
Organizations should prioritize patching immediately. The exploit has been publicly disclosed, which means that attackers could attempt to exploit this vulnerability if not remediated. Immediate action is essential to protect systems and data integrity.
Vulnerability Details
A vulnerability was determined in langflow-ai langflow up to 1.8.4. The affected function is CodeParser.parse_callable_details, located in the file src/lfx/src/lfx/custom/code_parser/code_parser.py. This vulnerability allows command injection, which can be executed remotely. The CVSS score for this vulnerability is 2.1, categorized as low severity.
The CWE classifications for this vulnerability are CWE-74 (Injection) and CWE-77 (Command Injection), which highlight the potential risks associated with improper input handling and command execution.
Technical Analysis
The root cause of this vulnerability lies in the insufficient validation of user inputs within the CodeParser.parse_callable_details function. An attacker can manipulate input parameters to execute arbitrary commands on the server.
The attack vector is categorized as network-based, allowing remote exploitation. The attack complexity is low, with low privileges required for execution, and no user interaction is necessary.
The potential impact on confidentiality, integrity, and availability is classified as low, indicating limited effects on system operations if compromised. However, organizations should still be mindful of the possible exploitation.
Risk & Impact Analysis
Organizations using langflow-ai langflow up to version 1.8.4 face a real-world risk of command injection that could lead to unauthorized access and manipulation of system functions. The blast radius of this vulnerability could extend to any system utilizing the affected component, making it crucial for organizations to assess their exposure.
Given the low CVSS score, the immediate urgency for patching may be lower than for higher-severity vulnerabilities. However, organizations should still address this issue in their patch management cycle as part of their overall security posture.
Monitoring for unusual activities related to the affected component is advisable to detect any potential exploitation attempts.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
All versions prior to vendor patch.
Mitigation & Remediation
To mitigate this vulnerability, it is recommended to apply the relevant patches as soon as they are available. Organizations should monitor for updates from the vendor and ensure their systems are up to date.
Additionally, organizations may consider implementing input validation and sanitization measures to prevent similar vulnerabilities from being exploited in the future. Continuous security testing can help in identifying and remediating vulnerabilities early.
For further details on security testing practices, organizations can explore penetration testing services.
Detection Guidance
Organizations should monitor logs for indicators of exploitation attempts, such as unusual command executions or access patterns that deviate from normal operations. Behavioral anomalies could indicate attempts to exploit this vulnerability.
AppSecure Threat Intelligence Insight
The long-term significance of this vulnerability underscores the need for robust input validation and security practices in software development. It highlights a pattern where low-severity vulnerabilities can still pose a threat if left unaddressed.
Security teams should take this as a lesson to implement proactive security measures, including regular code reviews and security training for developers to ensure vulnerabilities are identified and mitigated early.
For a comprehensive understanding of security management, organizations may find value in reviewing vulnerability management program strategies.
Additionally, organizations can enhance their security posture by exploring penetration testing methodology to better prepare against potential threats.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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