CVE-2026-59021 in Android
Summary
by MITRE • 11/02/2026
In multiple locations, there is a possible denial of service due to improper input validation. This could lead to local denial of service with User 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 code paths. In software engineering, proper input validation serves as the primary defense against various injection attacks and resource exhaustion scenarios. When this validation is absent or improperly implemented, the application fails to adequately sanitize, filter, or constrain incoming data before processing it within critical subsystems. This deficiency allows an attacker to supply malformed, excessively large, or structurally invalid inputs that trigger unexpected behavior in the underlying code logic. The presence of multiple locations where this flaw exists suggests a systemic architectural weakness rather than an isolated coding error, indicating that input handling protocols are not consistently enforced throughout the application's lifecycle from ingestion to execution.
From a technical perspective, the core issue lies in the failure to enforce boundary checks or type constraints on data inputs. This lack of rigor often leads to memory corruption issues such as buffer overflows, integer overflows, or logic errors that cause infinite loops and resource leaks. In many cases, improper input validation can result in the application entering an unrecoverable state where it consumes excessive CPU cycles, exhausts available memory, or hangs indefinitely waiting for a response from a blocked system call. These conditions effectively render the service unavailable to legitimate users, constituting a denial of service condition. The vulnerability does not require complex exploitation techniques; rather, it relies on the straightforward provision of data that exceeds expected limits or violates implicit assumptions made by the developer during coding.
The operational impact of this vulnerability is significant due to its local nature and low barrier to entry for attackers. Because user execution privileges are sufficient to exploit the flaw, any authenticated user with access to the application can trigger the denial of service condition without requiring elevated administrative rights. This lowers the attack complexity considerably, making it a viable threat vector for insider threats or compromised lower-privileged accounts. Furthermore, the fact that user interaction is not needed for exploitation means that an attacker does not need to trick another user into clicking a link or opening a specific file. The vulnerability can be triggered programmatically through automated scripts or malicious processes running under the context of a standard user account, allowing for rapid and scalable disruption of service without manual intervention.
This type of vulnerability is commonly classified under CWE-20 Improper Input Validation within the Common Weakness Enumeration framework. It often serves as an entry point for more severe vulnerabilities if not addressed promptly. In terms of tactical classification, this aligns with MITRE ATT&CK techniques related to Resource Hijacking or Denial of Service, where adversaries aim to degrade system availability rather than compromise confidentiality or integrity directly. The lack of required user interaction places it in a category similar to CWE-787 Out-of-bounds Write if memory corruption is involved, or CWE-400 Uncontrolled Resource Consumption if the issue stems from logic errors leading to resource exhaustion.
Mitigation strategies must focus on implementing robust input validation and sanitization routines at all points of data entry into the application. Developers should adopt a whitelist approach for acceptable inputs rather than relying solely on blacklist methods which can be bypassed through encoding variations or edge cases. Implementing strict type checking, length limits, and format constraints will help prevent malformed data from reaching critical processing logic. Additionally, incorporating resource monitoring and rate limiting mechanisms at both the application and infrastructure levels can mitigate the impact of such attacks by detecting abnormal usage patterns and throttling requests before they cause system-wide failure. Regular security testing including fuzzing techniques should be employed to identify these validation gaps in multiple code paths proactively.