CVE-2026-7427 in GitLab
Summary
by MITRE • 08/12/2026
GitLab has remediated an issue in GitLab CE/EE affecting all versions from 18.5 before 19.0.6, 19.1 before 19.1.4, and 19.2 before 19.2.2 that under certain conditions could have allowed an unauthenticated user to cause a denial of service due to improper input validation.
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Analysis
by VulDB Data Team • 08/12/2026
This vulnerability represents a denial of service condition that emerged in GitLab community and enterprise editions across multiple version ranges including 18.5 through 19.0.5, 19.1 through 19.1.3, and 19.2 through 19.2.1. The flaw stems from inadequate input validation mechanisms that permit unauthenticated attackers to craft malicious requests capable of disrupting normal service operations. The technical implementation appears to involve insufficient sanitization of user-provided data within specific API endpoints or request handlers that process external inputs without proper boundary checks or validation routines.
The operational impact of this vulnerability extends beyond simple service disruption as it creates potential for resource exhaustion and system instability when malformed inputs are processed through the affected components. Attackers can exploit this weakness by sending carefully constructed requests that trigger excessive processing cycles, memory allocation patterns, or thread blocking behaviors within the GitLab application. The vulnerability aligns with common software security principles where improper input handling leads to resource consumption issues that ultimately compromise availability. According to CWE classification systems, this scenario corresponds to CWE-20: Improper Input Validation which encompasses numerous subcategories related to inadequate sanitization of external data sources.
The attack vector demonstrates a classic example of how weak input validation can be leveraged for denial of service attacks, particularly in web applications where user inputs flow directly into processing logic without adequate filtering. This weakness creates an opportunity for attackers to consume system resources such as cpu cycles, memory allocation, or concurrent connection handling capabilities through crafted requests that appear legitimate but contain malicious payloads designed to trigger excessive computational overhead. The vulnerability exists across multiple major release streams indicating a fundamental flaw in the input validation architecture rather than a localized bug.
Security practitioners should recognize this issue as part of the broader ATT&CK framework's TA0043 initial access and TA0040 privilege escalation categories where resource exhaustion attacks can serve as both primary attack methods and supporting techniques for more complex exploitation scenarios. The remediation efforts focus on strengthening input validation routines and implementing proper sanitization checks that identify and reject malformed requests before they can cause system disruption. Organizations should prioritize applying the specific patches released by GitLab to address these versions, as the vulnerability creates a persistent risk for any environment running affected software releases.
This flaw exemplifies how seemingly minor input validation issues can create significant operational risks in enterprise software environments where continuous availability and service integrity are paramount. The remediation process requires careful attention to ensure that additional validation measures do not introduce performance regressions or break existing legitimate functionality while providing adequate protection against the identified denial of service vectors. System administrators must also consider implementing monitoring solutions that can detect anomalous request patterns or resource consumption spikes that may indicate exploitation attempts against this vulnerability.