CVE-2026-95904 in Windows
Summary
by MITRE • 10/14/2026
Buffer over-read in Windows Event Logging Service allows an authorized attacker to disclose information locally.
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Analysis
by VulDB Data Team • 10/14/2026
The vulnerability identified within the Microsoft Windows Event Logging service represents a critical memory safety flaw classified as a buffer over-read, which corresponds directly to CWE-126: Buffer Over-read in common weakness enumeration standards. This specific defect arises when the event logging subsystem processes malformed or excessively large log entries without performing adequate bounds checking on the source data before copying it into internal buffers. The core technical issue lies in the failure of the service to validate the length of incoming event records against the allocated memory space, leading to a scenario where the application reads beyond the intended boundaries of the buffer. This behavior is particularly dangerous because it allows for the extraction of sensitive information stored in adjacent memory locations that were not intended to be accessed by the logging process.
From an operational perspective, this vulnerability enables local privilege escalation and unauthorized data disclosure for authenticated users on the affected system. An attacker who has already gained a foothold within the operating environment can craft specific event logs designed to trigger the over-read condition. By doing so, they can force the Windows Event Logging service to leak contents of kernel or user-mode memory into the log output stream. This mechanism effectively bypasses standard access controls because the logging service typically runs with elevated privileges and writes data that is subsequently accessible to other system components or users depending on configuration settings. The impact extends beyond simple information disclosure, as leaked memory content may contain cryptographic keys, session tokens, passwords, or other high-value secrets essential for further exploitation of the network infrastructure.
The attack vector aligns closely with techniques documented in the MITRE ATT&CK framework, specifically under T1005: Data from Local System and potentially T1213: Information Collection via Remote Services if combined with lateral movement capabilities. The vulnerability exploits the trust relationship between user applications and system services, highlighting a fundamental flaw in how privileged processes handle untrusted input data. Security researchers have noted that such memory corruption issues often stem from legacy code paths or complex parsing logic where edge cases are not sufficiently tested against adversarial inputs. The presence of this flaw indicates a need for rigorous static analysis and fuzzing during the software development lifecycle to identify similar patterns in other system components before they can be weaponized by threat actors.
Mitigation strategies must focus on both immediate remediation and long-term architectural improvements. Organizations should apply the latest security patches released by Microsoft, which typically include fixes that enforce strict boundary checks and input validation within the event logging service codebase. In environments where patching is not immediately feasible, implementing network segmentation to limit lateral movement can reduce the blast radius of an exploitation attempt. Additionally, deploying endpoint detection and response solutions capable of monitoring for anomalous memory access patterns or unusual log generation activities can help detect attempts to exploit this vulnerability in real time. Developers must also adopt secure coding practices that prioritize input validation, ensuring that all external data sources are treated as untrusted until proven otherwise through rigorous testing protocols aligned with industry standards such as OWASP guidelines and NIST software security frameworks.