A vulnerability has been found in Divyanshu-hash GitPilot-MCP up to 9ed9f153ba4158a2ad230ee4871b25130da29ffd. This impacts the function repo_path of the file main.py. Such manipulation of the argument command leads to command injection. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The vendor was contacted early about this disclosure but did not respond in any way.
The vulnerability is classified as medium severity with a CVSS score of 6.9. This indicates a moderate risk to organizations, especially considering the potential for remote exploitation. Organizations should prioritize patching immediately.
Risk to organizations includes unauthorized access and potential data manipulation due to command injection. Security teams should assess their exposure to this vulnerability and implement necessary defenses.
Currently, there are no known exploits or public proof of concept (PoC) available for this vulnerability, but the risk remains significant due to its nature and the fact that it can be exploited remotely.
Vulnerability Details
The vulnerability allows command injection through the repo_path function in the main.py file of Divyanshu-hash GitPilot-MCP. It has a CVSS score of 6.9 (medium severity), indicating a low attack complexity and no privileges required for exploitation.
This vulnerability has been classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and CWE-77 (Improper Neutralization of Special Elements used in a Command ('Command Injection')).
Technical Analysis
The root cause of this vulnerability lies in the inadequate validation of user-supplied input in the repo_path function. Attackers can exploit this by providing specially crafted input that results in command injection.
The attack vector is network-based, with a low attack complexity, meaning that no special conditions or privileges are required for an attacker to exploit this vulnerability. Furthermore, the attack does not require user interaction, making it more critical.
Confidentiality, integrity, and availability impacts are rated as low, indicating that while the exploitation can lead to unauthorized commands being executed, the overall impact on the system might be limited.
Risk & Impact Analysis
Organizations must consider the potential risks associated with this vulnerability. Given its ability to be exploited remotely, it poses a significant risk to systems running the vulnerable software.
The blast radius of such an attack can extend to any system that interacts with the vulnerable component, leading to unauthorized access or manipulation of data.
Organizations should assess their exposure to this vulnerability and prioritize remediation efforts in their patch cycle. Given the CVSS score of 6.9, this should be treated as a medium priority issue.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
All versions prior to the vendor patch are affected since the vendor does not use versioning.
Mitigation & Remediation
Organizations should apply any available patches or updates for Divyanshu-hash GitPilot-MCP to mitigate this vulnerability. If a patch is unavailable, organizations should restrict access to the affected system and use network controls to limit exposure.
Continuous penetration testing can help identify any potential weaknesses in the system and verify that appropriate defenses are in place.
Detection Guidance
Organizations should monitor their systems for unusual command execution patterns and any unauthorized changes to the repo_path function. Log indicators that could signal exploitation attempts should be prioritized.
AppSecure Threat Intelligence Insight
The emergence of this vulnerability highlights the ongoing need for organizations to regularly assess their software for potential security flaws.
A robust vulnerability management program is essential for identifying and mitigating such risks effectively.
Furthermore, the trend of command injection vulnerabilities represents a broader pattern that organizations must be vigilant against. Continuous education and awareness are crucial for security teams to stay ahead of emerging threats.
Penetration testing methodology should incorporate tests for command injection vulnerabilities to ensure that applications are robust against exploitation attempts.
AI security testing best practices can also provide additional insights into securing applications against command injection.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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