CVE-2026-58933 in Android
Summary
by MITRE • 11/02/2026
In process of C2SoftApvDec.cpp, there is a possible out-of-bounds read due to a logic error in the code. This could lead to remote information disclosure 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 within the C2SoftApvDec module represents a critical security flaw rooted in improper input validation and boundary checking mechanisms during data processing operations. Specifically, this issue manifests as an out-of-bounds read condition caused by a logic error that fails to adequately verify array indices or buffer limits before accessing memory locations. In software engineering terms, such errors typically occur when the code assumes that incoming data structures conform strictly to expected dimensions without performing rigorous checks against actual allocated sizes. This lack of validation allows attackers to craft malicious inputs that cause the application to read from memory addresses outside the intended boundaries, potentially exposing sensitive information stored in adjacent memory regions.
From a technical perspective, this flaw aligns with Common Weakness Enumeration category CWE-125, which describes out-of-bounds read vulnerabilities where software reads data past the end or before the beginning of the intended buffer. The absence of proper bounds checking means that if an attacker can control the input parameters passed to the C2SoftApvDec function, they can manipulate these values to trigger access to unauthorized memory segments. Since this module appears to be involved in decoding operations, it likely processes external data streams or files, making it a prime target for exploitation via remote inputs such as network packets or specially crafted media files. The logic error implies that the internal state management does not correctly account for edge cases where input length exceeds expected limits or contains malformed structures designed to bypass existing safeguards.
The operational impact of this vulnerability is significant due to its potential for remote information disclosure without requiring user interaction or elevated privileges. Attackers can exploit this flaw remotely by sending specifically crafted requests that trigger the out-of-bounds read condition, thereby extracting sensitive data from the process memory space. This could include cryptographic keys, session tokens, internal configuration details, or other proprietary information depending on what resides in the adjacent memory blocks. The fact that no additional execution privileges are needed lowers the barrier to entry for attackers, allowing even unauthenticated individuals to potentially compromise system confidentiality. Furthermore, because user interaction is not required, automated exploitation tools can effectively target this weakness across multiple instances simultaneously, increasing the risk of widespread data breaches.
In terms of threat modeling and adversary behavior, this vulnerability maps closely to techniques observed in advanced persistent threats where initial access leads directly to credential harvesting or intelligence gathering through memory scraping. According to MITRE ATT&CK framework classifications, this aligns with Data from Local System Retrieval methods that focus on extracting information without executing arbitrary code, thereby maintaining stealth while achieving reconnaissance objectives. The ability to disclose internal state information facilitates further attacks by providing attackers with contextual knowledge about the system architecture and security controls in place.
To mitigate this risk, developers must implement strict input validation routines within the C2SoftApvDec module that verify all buffer lengths against allocated memory sizes before performing any read operations. Employing static analysis tools during the development phase can help identify similar logic errors early in the lifecycle. Runtime protection mechanisms such as Address Space Layout Randomization and Data Execution Prevention provide additional layers of defense by making it more difficult for attackers to predict memory layouts or execute code derived from leaked information. Additionally, adopting secure coding practices that emphasize defensive programming techniques will reduce the likelihood of future occurrences. Regular security audits focusing on boundary checks and array indexing logic are essential to maintaining robust protection against this class of vulnerabilities. Organizations should also consider deploying intrusion detection systems capable of identifying anomalous memory access patterns indicative of exploitation attempts targeting similar weaknesses in other components.