CVE-2026-58937 in Android
Summary
by MITRE • 11/02/2026
In multiple locations, there is a possible persistent denial of service due to improper input validation. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.
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Analysis
by VulDB Data Team • 11/02/2026
The vulnerability described represents a critical flaw in the application's handling of user-supplied or system-generated data, specifically characterized by insufficient input validation mechanisms across multiple functional modules within the software architecture. This deficiency allows an attacker to inject malformed or excessively large inputs that trigger unhandled exceptions or resource exhaustion conditions without requiring any form of authentication or elevated privileges. The core technical issue lies in the failure to enforce strict boundaries on data length, format, and structure before processing, which is a fundamental security control missing from the input sanitization routines. When such invalid data reaches internal parsing logic or memory allocation functions, it can cause the application to enter an infinite loop, consume excessive CPU cycles, or exhaust available system resources such as heap space or file descriptors. This behavior aligns with CWE-20 Improper Input Validation and often overlaps with CWE-400 Uncontrolled Resource Consumption, indicating that the software does not adequately restrict the amount of computational effort it will perform in response to a single request.
From an operational perspective, this flaw enables a local denial-of-service attack where any user account on the system can disrupt the availability of the affected service or application. Since no additional execution privileges are required and user interaction is unnecessary for exploitation, the risk profile is significantly elevated compared to vulnerabilities that require complex setup or specific environmental conditions. An attacker could potentially automate this process using simple scripts to repeatedly send crafted payloads, leading to sustained instability or complete unresponsiveness of the target system. This impacts not only the immediate application but also other services running on the same host if they share underlying resources like memory pools or network sockets that become saturated due to the DoS condition. The lack of user interaction requirement means that background processes or scheduled tasks could inadvertently trigger this vulnerability, making it difficult for administrators to predict when an attack might occur without active monitoring and intrusion detection systems in place.
In terms of threat modeling, this scenario maps closely to MITRE ATT&CK technique T1499 Endpoint Denial of Service, where the objective is to degrade or destroy the availability of computational resources on a targeted system. The persistence aspect mentioned suggests that once triggered, the denial-of-service condition may require manual intervention or a full restart to resolve, rather than being self-healing after the malicious input ceases. This characteristic increases the operational burden on IT support teams and extends the duration of service disruption for end-users. Furthermore, if this vulnerability exists in core system components or widely used libraries, it could serve as an initial vector for more sophisticated attacks by destabilizing security monitoring tools or logging services that rely on continuous uptime to function correctly.
To mitigate this risk, developers must implement rigorous input validation strategies at all entry points where data is received from external sources or internal modules with untrusted origins. This includes enforcing strict type checking, length limits, and format constraints using allow-listing approaches rather than block-listing, which is often prone to bypasses. Additionally, implementing resource management controls such as timeouts for long-running operations, memory usage caps per process, and rate limiting on input processing can help contain the impact of malformed inputs even if validation fails. It is also advisable to employ defensive programming techniques like try-catch blocks around critical parsing logic to gracefully handle unexpected data structures without crashing or hanging. Regular security testing using fuzzing tools can help identify these edge cases before deployment, ensuring that the application remains resilient against both accidental errors and deliberate exploitation attempts aimed at disrupting service availability.