CVE-2026-59010 in Android
Summary
by MITRE • 11/02/2026
In deserialize of legacy.rs, there is a possible denial of service due to a missing bounds check. 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 identified in the deserialization logic within the legacy module represents a critical flaw rooted in improper input validation during data processing operations. Specifically, the absence of bounds checking when parsing or interpreting serialized data structures allows an attacker to supply malformed inputs that exceed expected limits. This technical deficiency is characteristic of CWE-125, Out-of-bounds Read, and potentially CWE-787, Out-of-bounds Write, depending on how the unchecked index interacts with memory allocation routines. In many modern programming languages used for system-level or network-facing services, deserialization processes must rigorously validate all indices against allocated buffer sizes to prevent accessing memory regions outside the intended scope. The failure to implement these checks indicates a gap in defensive coding practices where assumptions about input integrity are not enforced programmatically.
From an operational perspective, this flaw enables a local denial of service attack without requiring elevated privileges or user interaction. An attacker who can trigger the deserialization process with crafted data can cause the application to crash by inducing memory access violations such as segmentation faults or heap corruption. This type of exploitation falls under MITRE ATT&CK technique T1499, Endpoint Denial of Service, specifically within the context of resource exhaustion through software failure rather than overwhelming system resources like CPU or bandwidth. The impact is immediate and disruptive to service availability, potentially affecting downstream systems that depend on the stability of this component. Since no user interaction is required, the attack surface includes any automated processes, scheduled tasks, or background services that invoke this deserialization function with untrusted data sources.
Mitigation strategies must focus on implementing strict input validation mechanisms before processing serialized payloads. Developers should enforce explicit bounds checking for all array indices and buffer offsets derived from external inputs. Additionally, adopting safe parsing libraries that automatically handle boundary conditions can reduce the risk of such errors. It is also advisable to implement resource limits and timeout controls to contain potential crashes within isolated processes rather than allowing them to take down entire services. Regular security audits focusing on deserialization logic and adherence to secure coding standards like OWASP guidelines for data validation are essential to prevent recurrence. Patching this issue requires updating the legacy module with corrected code that validates all incoming data structures against predefined schema constraints before any memory operations occur.