CVE-2026-83875 in Windowsinfo

Summary

by MITRE • 10/14/2026

Out-of-bounds read in HID Parser Library 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 Human Interface Device (HID) Parser Library represents a critical memory safety flaw classified as an out-of-bounds read, formally mapped to Common Weakness Enumeration identifier CWE-125. This specific type of error occurs when software attempts to access data at a memory location that is outside the boundaries of the intended buffer or array structure. In the context of HID parsing, this typically involves the processing of descriptor reports sent by peripheral devices such as keyboards, mice, game controllers, or specialized input hardware. The parser library is responsible for interpreting these binary descriptors to understand how user inputs should be mapped and processed by the operating system. When a malformed or maliciously crafted HID report is provided, the parsing logic fails to adequately validate index values or length parameters before accessing memory locations associated with descriptor fields. This lack of rigorous bounds checking allows an attacker who has already gained local access to trigger a read operation beyond the allocated buffer limits.

From a technical perspective, out-of-bounds reads are particularly dangerous because they can lead to information disclosure without necessarily causing immediate application crashes or denial of service conditions. When the parser accesses memory outside its designated scope, it may retrieve sensitive data stored in adjacent memory regions. This could include stack variables, heap metadata, or other process-specific information that was not intended for public exposure. The severity of this vulnerability is heavily dependent on the privilege level of the application utilizing the HID Parser Library and the sensitivity of the data present in the surrounding memory space. If an attacker can control the input to manipulate which out-of-bounds address is read, they may be able to leak cryptographic keys, session tokens, or other confidential information that resides near the parsed structures in memory. This aligns with ATT&CK technique T1005, which covers Data from Local System, as it facilitates the exfiltration of data through indirect means rather than direct file access.

The operational impact of this vulnerability is primarily confined to local attackers due to the nature of HID device interactions and typical system architectures. An unauthorized remote attacker cannot directly exploit this flaw because they do not have physical or logical access to inject malicious HID reports into the parsing pipeline. Therefore, exploitation requires that an adversary has already established a foothold on the target machine with sufficient privileges to interact with USB devices or virtual input interfaces. Once local access is achieved, the attacker can simulate various HID device behaviors by sending crafted descriptor data through system APIs or physical connection points. The successful exploitation results in the potential leakage of internal process memory contents, which serves as an information gathering step that could facilitate further lateral movement or privilege escalation within the compromised environment.

Mitigation strategies for this vulnerability must focus on both immediate patching and long-term defensive coding practices. Organizations should prioritize applying vendor-provided security updates to the affected HID Parser Library or any software components that integrate it, ensuring that the latest memory safety checks are in place. For developers maintaining custom implementations of HID parsing logic, implementing strict input validation is essential. This includes verifying all index values against buffer sizes before access and utilizing static analysis tools configured to detect CWE-125 patterns during the code review phase. Additionally, enabling compiler-based protections such as Address Sanitizer (ASan) or Stack Canaries can help identify these memory errors during testing phases rather than in production environments. System administrators should also enforce strict device control policies to limit which HID devices are allowed to connect and interact with critical systems, thereby reducing the attack surface available to local adversaries attempting to exploit this parsing flaw.

Responsible

Microsoft

Reservation

09/01/2026

Disclosure

10/14/2026

Moderation

accepted

EPSS

0.00000

KEV

no

Activities

very low

Sources

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