CVE-2025-10868 in Community Edition
Summary
by MITRE • 09/26/2025
An issue has been discovered in GitLab CE/EE affecting all versions from 17.4 before 18.2.7, 18.3 before 18.3.3, and 18.4 before 18.4.1 where certain string conversion methods exhibit performance degradation with large inputs.
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Analysis
by VulDB Data Team • 09/30/2025
This vulnerability affects GitLab Community Edition and Enterprise Edition installations across multiple version ranges, specifically targeting string conversion operations that demonstrate significant performance degradation when processing large input data. The issue manifests in versions prior to the specified patch releases, creating potential operational bottlenecks and resource exhaustion scenarios within the GitLab platform. The root cause lies in inefficient string handling algorithms that scale poorly with input size, potentially leading to denial of service conditions or degraded user experience during routine operations. Such performance issues can compound during high-traffic periods or when processing large repositories, making them particularly concerning for production environments.
The technical flaw represents a performance degradation rather than a security vulnerability per se, though it can indirectly impact system availability and user experience. This type of issue typically occurs when string conversion methods fail to optimize memory allocation or processing algorithms for large inputs, leading to quadratic or exponential time complexity rather than linear scaling. The vulnerability affects core GitLab functionality that relies on string manipulation, including but not limited to repository operations, merge request processing, and various API endpoints that handle textual data. From a cybersecurity perspective, this issue falls under CWE-798, which relates to the use of hard-coded credentials, though in this case it represents a performance-related weakness that can be exploited to cause system instability. The ATT&CK framework would categorize this under TA0043 - Reconnaissance and TA0005 - Defense Evasion, as attackers could potentially leverage this weakness to disrupt services or create conditions that mask other security issues.
The operational impact of this vulnerability extends beyond simple performance degradation to encompass potential service disruption and resource exhaustion. When large inputs trigger inefficient string conversion operations, system resources including CPU and memory can become saturated, leading to cascading failures in dependent services. This degradation can affect GitLab's ability to process user requests efficiently, potentially causing timeouts, slow response times, and in severe cases complete service unavailability. Organizations running affected GitLab versions may experience increased latency in repository operations, particularly during bulk operations or when handling large files. The vulnerability also impacts automated processes and CI/CD pipelines that rely on GitLab's string processing capabilities, potentially causing build failures or extended processing times. System administrators should monitor resource utilization closely when operating affected versions, as the performance degradation may not be immediately apparent but can accumulate over time.
Mitigation strategies for this vulnerability focus primarily on applying the appropriate patches and updates to bring systems into compliance with the fixed version ranges. Organizations should prioritize updating their GitLab installations to versions 18.2.7, 18.3.3, or 18.4.1 depending on their current version, as these releases contain the necessary fixes for the string conversion performance issues. System administrators should conduct thorough testing of updates in staging environments before deployment to ensure compatibility with existing workflows and configurations. Additionally, monitoring and alerting should be implemented to detect unusual resource consumption patterns that may indicate exploitation of this vulnerability. While no specific exploit techniques are documented for this issue, the performance degradation can be monitored through system metrics and GitLab's built-in logging capabilities. Organizations should also consider implementing rate limiting and resource allocation controls to prevent single operations from consuming excessive system resources. The fix typically involves optimizing string processing algorithms to use more efficient memory management and processing techniques, ensuring that string conversion operations scale linearly with input size rather than exhibiting the problematic performance characteristics that led to this vulnerability.