CVE-2026-51788 in Auth
Summary
by MITRE • 09/01/2026
An issue in cleverange_auth v.0.1.10 allows a remote attacker to cause a denial of service via the account_verification function and the accounts/models.py component
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Analysis
by VulDB Data Team • 09/01/2026
The vulnerability identified within the cleverange_auth library, specifically version 0.1.10, represents a significant reliability risk for applications relying on this authentication module. The core issue resides in the interaction between the account verification logic and the underlying data models defined in accounts/models.py. This flaw allows an unauthenticated or remote attacker to trigger conditions that result in a denial of service against the targeted application infrastructure. Unlike vulnerabilities that compromise confidentiality or integrity, this specific defect is categorized under availability impacts, where the primary objective is to disrupt legitimate user access by exhausting system resources or causing unexpected crashes within the authentication subsystem.
From a technical perspective, the root cause lies in how the account_verification function processes input data before interacting with the database models. The accounts/models.py component likely lacks sufficient validation or error handling mechanisms when processing verification requests. This deficiency can lead to unhandled exceptions, infinite loops, or excessive resource consumption such as memory leaks or CPU spikes depending on the specific implementation details of the flawed code path. When a remote attacker sends specially crafted requests designed to exploit these edge cases in the verification process, the application may fail to recover gracefully, leading to service degradation or complete outage for all users attempting to authenticate through this module.
This vulnerability aligns with Common Weakness Enumeration (CWE) standards, particularly CWE-400: Uncontrolled Resource Consumption and CWE-755: Improper Handling of Unexpected Data Condition. The lack of proper input sanitization and boundary checks in the verification flow allows external actors to manipulate the state of the application in ways that were not anticipated by the developers. Furthermore, from a tactical standpoint within the MITRE ATT&CK framework, this behavior corresponds to techniques associated with Resource Hijacking or Denial of Service attacks, where adversaries aim to degrade service quality rather than steal data. The attack vector is remote and requires no prior authentication, making it particularly dangerous for public-facing services that expose their registration or verification endpoints.
The operational impact of this vulnerability extends beyond simple downtime. For applications dependent on cleverange_auth for user management, a successful exploitation can lead to significant business disruption, loss of customer trust, and increased support costs due to incident response requirements. Since the authentication layer is often the first line of defense in web architectures, compromising its availability effectively locks out all users, including legitimate administrators who may need emergency access during an outage. The severity is compounded by the fact that it affects a core security component, meaning standard fallback mechanisms might also be unavailable if they rely on the same underlying infrastructure or libraries.
Mitigation strategies must focus on hardening the input validation and error handling processes within the affected components. Developers should implement strict type checking and length limits for all inputs passed to the account_verification function. Additionally, incorporating timeout mechanisms and resource usage monitoring can help prevent runaway processes from consuming excessive system memory or CPU cycles. It is critical to apply any available patches provided by the library maintainers immediately if a fixed version has been released. If no patch exists, temporary workarounds such as rate limiting on verification endpoints or deploying web application firewall rules that detect and block anomalous request patterns can provide partial protection until the codebase is updated. Regular security audits of third-party dependencies are essential to identify similar flaws in other modules before they can be exploited by malicious actors seeking to disrupt service availability.