CVE-2026-10174 in Aider
Summary
by MITRE • 05/31/2026
A vulnerability was identified in Aider-AI Aider 0.86.3. Affected is an unknown function of the file aider/args.py of the component Pre-commit Hook Handler. Such manipulation of the argument git-commit-verify leads to protection mechanism failure. The attack may be launched remotely. The exploit is publicly available and might be used. The project was informed of the problem early through an issue report but has not responded yet.
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Analysis
by VulDB Data Team • 06/01/2026
The vulnerability in Aider-AI Aider 0.86.3 represents a critical security flaw within the pre-commit hook handler component, specifically affecting the git-commit-verify argument processing in the aider/args.py file. This issue demonstrates a failure in input validation and argument handling that undermines the security mechanisms designed to protect code integrity during the pre-commit phase of development workflows. The vulnerability's impact extends beyond local execution contexts as it can be exploited remotely, making it particularly dangerous for distributed development environments where multiple contributors interact with the same codebase.
The technical flaw stems from insufficient sanitization and validation of the git-commit-verify argument, which allows attackers to manipulate the argument parsing logic to bypass intended security controls. This type of vulnerability aligns with CWE-20, Input Validation and Sanitization issues, where improper handling of user-supplied input leads to security mechanism circumvention. The flaw enables attackers to craft malicious arguments that can disable or modify the verification process that typically ensures code quality and security checks are properly executed before commits are accepted into the repository. The vulnerability's exploitability is heightened by the fact that a public exploit exists, indicating that security researchers or malicious actors have already developed working examples of the attack vector.
The operational impact of this vulnerability is significant for development teams relying on Aider-AI's pre-commit hooks for code quality assurance and security enforcement. Attackers could potentially bypass automated security checks, allowing malicious code or unauthorized changes to be committed to the repository without proper verification. This failure in the pre-commit security pipeline creates a window of opportunity for introducing vulnerabilities, backdoors, or other malicious modifications that would otherwise be caught by the automated verification mechanisms. The remote exploit capability means that attackers don't need physical access to the development environment, potentially allowing them to compromise code repositories from external locations.
The lack of response from the project maintainers after being informed through an issue report creates additional operational risks for users. This delayed response time increases the window of vulnerability exposure and suggests potential gaps in the project's security response protocols. Organizations using this software should consider implementing additional protective measures while awaiting official patches, as the vulnerability's public exploitability means that the risk of compromise is not theoretical but actively possible. The situation also highlights the importance of maintaining security communication channels with open source projects and monitoring for security advisories from multiple sources.
Recommended mitigations include immediate implementation of manual input validation for git-commit-verify arguments, deployment of network-level restrictions to limit access to pre-commit hook endpoints, and consideration of alternative security verification mechanisms while awaiting official patches. Organizations should also implement monitoring for unauthorized modifications to pre-commit hooks and establish incident response procedures for potential exploitation attempts. The vulnerability's classification as a pre-commit security bypass aligns with ATT&CK technique T1550.001, Use of Cloud Administration Tools, where attackers manipulate automated security controls to gain unauthorized access or modify system behavior.