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Vulnerability Database/CVE-2026-24822

CVE-2026-24822: wxhelper Buffer Overflow Vulnerability

CVE-2026-24822 is a heap-based buffer overflow vulnerability in wxhelper that allows out-of-bounds writes. This article covers the technical details, affected versions through 3.9.10.19-v1, and mitigation strategies.

Published:

CVE-2026-24822 Overview

CVE-2026-24822 is a critical heap-based buffer overflow vulnerability affecting the wxhelper project by ttttupup. This out-of-bounds write vulnerability exists within the mongoose.c file in the src modules, allowing attackers to write data beyond the allocated buffer boundaries on the heap. Successful exploitation could result in arbitrary code execution, system compromise, or denial of service conditions.

Critical Impact

This vulnerability carries a CVSS 4.0 score of 10.0 (Critical), indicating maximum severity with potential for complete system compromise including full confidentiality, integrity, and availability impact on both vulnerable and subsequent systems.

Affected Products

  • wxhelper through version 3.9.10.19-v1
  • ttttupup wxhelper src modules
  • Systems utilizing the mongoose.c component

Discovery Timeline

  • 2026-01-27 - CVE-2026-24822 published to NVD
  • 2026-01-27 - Last updated in NVD database

Technical Details for CVE-2026-24822

Vulnerability Analysis

This vulnerability is classified as CWE-122: Heap-based Buffer Overflow, a dangerous memory corruption flaw where the application writes data beyond the boundaries of a heap-allocated buffer. The vulnerable code resides in the mongoose.c file within the wxhelper src modules. When exploited, an attacker can overwrite adjacent heap memory structures, potentially corrupting heap metadata or other critical application data.

The network-accessible nature of this vulnerability significantly increases its risk profile. Attackers can trigger the vulnerability remotely without requiring any authentication or user interaction, making it particularly dangerous in internet-facing deployments.

Root Cause

The root cause is improper bounds checking when writing data to heap-allocated buffers in the mongoose.c source file. The code fails to properly validate the size of input data before copying it to a fixed-size buffer on the heap, allowing attackers to supply oversized input that exceeds the buffer's allocated memory space.

Attack Vector

The attack can be executed remotely over the network. An attacker sends specially crafted input to the vulnerable application, triggering the out-of-bounds write condition in the mongoose module. The lack of required privileges or user interaction makes this vulnerability particularly exploitable. Successful exploitation could allow an attacker to:

  1. Execute arbitrary code with the privileges of the vulnerable process
  2. Crash the application causing denial of service
  3. Manipulate heap memory to redirect execution flow
  4. Potentially pivot to compromise additional systems

The vulnerability is triggered when malformed or oversized data is processed by the mongoose component, causing the application to write beyond the allocated heap buffer boundaries. Attackers can craft specific payloads to precisely control what data is written to adjacent memory regions, enabling sophisticated exploitation techniques.

Detection Methods for CVE-2026-24822

Indicators of Compromise

  • Unexpected crashes or memory corruption errors in wxhelper or mongoose-related processes
  • Anomalous network traffic patterns targeting wxhelper endpoints with oversized or malformed payloads
  • Memory access violations or segmentation faults in application logs
  • Unusual process spawning or execution originating from wxhelper components

Detection Strategies

  • Deploy network intrusion detection rules to identify oversized or malformed requests targeting wxhelper services
  • Monitor application logs for heap corruption warnings, buffer overflow exceptions, or mongoose-related errors
  • Implement memory protection mechanisms such as ASLR and DEP to detect exploitation attempts
  • Use endpoint detection and response (EDR) solutions to identify anomalous behavior patterns

Monitoring Recommendations

  • Enable verbose logging for wxhelper and mongoose components to capture potential exploitation attempts
  • Monitor for unusual memory allocation patterns or heap fragmentation issues
  • Configure alerting for process crashes or unexpected terminations of wxhelper services
  • Review network traffic for unusual payload sizes or encoding patterns targeting affected endpoints

How to Mitigate CVE-2026-24822

Immediate Actions Required

  • Upgrade wxhelper to a version newer than 3.9.10.19-v1 that addresses this vulnerability
  • Review the GitHub Pull Request #515 for patch details and apply the fix
  • Restrict network access to wxhelper services to trusted networks only
  • Implement web application firewall (WAF) rules to filter potentially malicious payloads

Patch Information

A fix has been submitted via GitHub Pull Request #515. Organizations should review this pull request and apply the patch to their wxhelper installations. Ensure you are running a version beyond 3.9.10.19-v1 that incorporates the security fix.

Workarounds

  • Implement network segmentation to isolate systems running vulnerable wxhelper versions from untrusted networks
  • Deploy reverse proxy or WAF solutions with input validation to filter malformed requests before they reach the application
  • Consider disabling or restricting access to the affected mongoose functionality until the patch can be applied
  • Enable operating system-level exploit mitigations such as ASLR, DEP/NX, and stack canaries to increase exploitation difficulty
bash
# Network isolation example using iptables
# Restrict access to wxhelper service port to trusted networks only
iptables -A INPUT -p tcp --dport <wxhelper_port> -s <trusted_network_cidr> -j ACCEPT
iptables -A INPUT -p tcp --dport <wxhelper_port> -j DROP

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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