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CVE Vulnerability Database
Vulnerability Database/CVE-2026-49953

CVE-2026-49953: Discuz! X5.0 CAPTCHA Bypass Vulnerability

CVE-2026-49953 is a CAPTCHA bypass flaw in Discuz! X5.0 that enables attackers to defeat challenge controls using OCR models. This article covers the technical details, affected versions, security impact, and mitigation.

Published:

CVE-2026-49953 Overview

CVE-2026-49953 is a CAPTCHA bypass vulnerability affecting Discuz! X5.0 releases 20260320 through 20260610. The flaw stems from limited complexity and predictable character sets in generated CAPTCHA images. Unauthenticated remote attackers can train a custom optical character recognition (OCR) model against collected CAPTCHA samples to reliably predict challenge text. This defeats CAPTCHA protections on login, registration, and other forms designed to resist automated abuse. The weakness is categorized under CWE-804: Guessable CAPTCHA.

Critical Impact

Attackers can automate credential stuffing, mass account registration, and brute-force attacks against Discuz! X5.0 endpoints that rely on CAPTCHA as their anti-automation control.

Affected Products

  • Discuz! X5.0 release 20260320
  • Discuz! X5.0 releases between 20260320 and 20260610
  • Discuz! X5.0 release 20260610

Discovery Timeline

  • 2026-06-15 - CVE-2026-49953 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2026-49953

Vulnerability Analysis

Discuz! X5.0 generates CAPTCHA images intended to distinguish humans from automated clients. The implementation draws challenge text from a restricted character set and applies limited visual distortion. These properties make the resulting images well suited to recognition by machine learning models trained on a modest number of samples.

An attacker collects CAPTCHA images from the target deployment and labels them, either manually or by chaining low-confidence predictions with correctness feedback from the application. A small OCR or convolutional neural network model can then achieve high accuracy against the live endpoint. Once the model exceeds the success rate needed for cost-effective automation, CAPTCHA ceases to function as a control on login, registration, posting, and similar workflows.

This class of issue does not require memory corruption or injection. The protection mechanism is fundamentally weak rather than misconfigured.

Root Cause

The root cause is insufficient entropy and predictability in CAPTCHA generation. Discuz! X5.0 uses a small character alphabet, fixed image dimensions, and visual noise that does not meaningfully resist modern OCR. CWE-804 describes this exact failure mode: a CAPTCHA that can be solved programmatically.

Attack Vector

The vulnerability is exploitable over the network without authentication or user interaction. An attacker scripts CAPTCHA retrieval, submits images to a trained model, and posts the predicted text to the target form. Refer to the VulnCheck advisory and the KarmaInSecurity advisory KIS-2026-10 for further technical context. A related write-up, Chaining Bugs in Discuz: From Race Condition to RCE, shows how CAPTCHA bypass can be combined with other flaws.

No verified exploit code is published in the referenced advisories. The vulnerability is described in prose by the original researchers.

Detection Methods for CVE-2026-49953

Indicators of Compromise

  • High volume of requests to CAPTCHA image generation endpoints from a single source or narrow IP range.
  • Login, registration, or post submission endpoints receiving traffic at machine-like rates with valid CAPTCHA tokens.
  • Successful account creation or authentication from data center, VPN, or residential proxy networks not typical for the user base.

Detection Strategies

  • Correlate CAPTCHA image requests with subsequent form submissions and alert when the ratio approaches 1:1 at scale.
  • Monitor for repeated CAPTCHA solve attempts that succeed faster than human-plausible solve times.
  • Apply behavioral analytics to login and registration flows, including failed-to-successful attempt ratios per source.

Monitoring Recommendations

  • Log all CAPTCHA issuance and validation events with client IP, user agent, and timing data.
  • Forward Discuz! web server and application logs to a centralized analytics platform for correlation across sessions.
  • Track new account registrations and first-action behavior to surface bot-driven accounts created via CAPTCHA bypass.

How to Mitigate CVE-2026-49953

Immediate Actions Required

  • Identify Discuz! X5.0 deployments on releases 20260320 through 20260610 and prioritize them for hardening.
  • Place authentication and registration endpoints behind a web application firewall (WAF) configured for bot management.
  • Enforce rate limiting on login, registration, and CAPTCHA endpoints per IP and per session.

Patch Information

No vendor patch is referenced in the available advisories at the time of NVD publication on 2026-06-15. Monitor the VulnCheck advisory and the Full Disclosure post for vendor updates. Until a fix is released, administrators should replace the built-in CAPTCHA with a stronger challenge.

Workarounds

  • Replace the native CAPTCHA with a third-party challenge service that uses behavioral and risk-based scoring.
  • Require email or SMS verification on registration and on suspicious login attempts to add a second factor of human verification.
  • Restrict account creation to allowlisted regions or authenticated invitations where business requirements permit.
  • Apply progressive throttling and account lockout policies to limit the value of automated submissions.
bash
# Example nginx rate limit for Discuz login and register endpoints
limit_req_zone $binary_remote_addr zone=discuz_auth:10m rate=5r/m;

location ~* /(member\.php|api/.*login|api/.*register) {
    limit_req zone=discuz_auth burst=3 nodelay;
    proxy_pass http://discuz_backend;
}

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

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