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Vulnerability Database/CVE-2026-33313

CVE-2026-33313: Vikunja Auth Bypass Vulnerability

CVE-2026-33313 is an authorization bypass vulnerability in Vikunja that allows authenticated users to read task comments without proper access rights. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2026-33313 Overview

CVE-2026-33313 is an Insecure Direct Object Reference (IDOR) vulnerability in Vikunja, an open-source self-hosted task management platform. Prior to version 2.2.0, an authenticated user can read any task comment by ID, regardless of whether they have access to the task the comment belongs to, by substituting the task ID in the API URL with a task they do have access to.

Critical Impact

Authenticated users can bypass access controls to read sensitive task comments belonging to other users' tasks, potentially exposing confidential project information, internal communications, and business-sensitive data across the entire Vikunja instance.

Affected Products

  • Vikunja versions prior to 2.2.0

Discovery Timeline

  • 2026-03-24 - CVE CVE-2026-33313 published to NVD
  • 2026-03-24 - Last updated in NVD database

Technical Details for CVE-2026-33313

Vulnerability Analysis

This vulnerability is classified under CWE-639 (Authorization Bypass Through User-Controlled Key), commonly known as an Insecure Direct Object Reference (IDOR). The flaw exists in Vikunja's API endpoint handling for task comments, where the application fails to properly validate that the authenticated user has legitimate access to the task associated with a requested comment.

The vulnerability allows an attacker who is authenticated to the Vikunja instance to access comments from tasks they should not have visibility into. The exploitation requires the attacker to have valid credentials and access to at least one task within the system, which they can then use as a pivot point to access unauthorized comments.

Root Cause

The root cause lies in insufficient authorization checks within Vikunja's API comment retrieval logic. When fetching task comments, the application validates that the requesting user has access to the task ID provided in the API URL, but it does not verify that the comment actually belongs to that task. This allows an attacker to substitute a task ID they control while requesting comment IDs from other tasks, effectively bypassing the access control mechanism.

Attack Vector

The attack is conducted over the network and requires low privileges (valid authentication). An attacker with a legitimate account can enumerate comment IDs and retrieve them by manipulating the task ID parameter in API requests. By substituting the task ID with one they have access to while keeping the comment ID pointing to a comment from a different task, the attacker can exfiltrate sensitive comment data from tasks across the entire Vikunja deployment.

The exploitation flow involves:

  1. The attacker authenticates to Vikunja with valid credentials
  2. The attacker identifies or creates a task they have legitimate access to
  3. The attacker crafts API requests using their accessible task ID but with comment IDs from other tasks
  4. The server returns comment content without validating the comment-to-task relationship

Detection Methods for CVE-2026-33313

Indicators of Compromise

  • API requests to comment endpoints where the returned comment's actual task ID differs from the requested task ID
  • Unusual patterns of comment ID enumeration attempts from a single user account
  • Access log entries showing sequential comment ID requests with consistent task IDs
  • User accounts accessing high volumes of comments relative to their task assignments

Detection Strategies

  • Implement API request logging that captures both the requested task ID and the actual task ID associated with retrieved comments
  • Monitor for anomalous API request patterns, particularly bulk comment retrievals or sequential ID enumeration
  • Audit user activity logs for access to comments on tasks where the user lacks explicit permissions
  • Deploy Web Application Firewall (WAF) rules to detect parameter manipulation patterns in API requests

Monitoring Recommendations

  • Enable verbose logging on Vikunja API endpoints, particularly those handling comment retrieval operations
  • Configure alerting for failed authorization attempts or access pattern anomalies
  • Regularly review audit logs for users accessing comments in bulk or outside normal usage patterns
  • Monitor for reconnaissance activity such as systematic ID enumeration across comment resources

How to Mitigate CVE-2026-33313

Immediate Actions Required

  • Upgrade Vikunja to version 2.2.0 or later immediately
  • Review access logs to identify any potential exploitation attempts prior to patching
  • Audit sensitive tasks and comments for potential unauthorized access
  • Consider temporarily restricting API access if immediate patching is not possible

Patch Information

The vulnerability has been fixed in Vikunja version 2.2.0. The patch implements proper validation to ensure that requested comments belong to the task specified in the API request. Users should upgrade to version 2.2.0 or later to remediate this vulnerability.

For detailed information about the fix, see the GitHub Commit Change and the GitHub Security Advisory. The Vikunja Release Changelog provides additional release notes.

Workarounds

  • Restrict Vikunja access to trusted users only until the patch can be applied
  • Implement network-level access controls to limit exposure of the Vikunja instance
  • Review and restrict user account creation policies to minimize potential attacker access
  • Consider placing Vikunja behind an authentication proxy with enhanced logging capabilities
bash
# Upgrade Vikunja to patched version
# Using Docker (recommended method)
docker pull vikunja/vikunja:2.2.0
docker stop vikunja
docker rm vikunja
docker run -d --name vikunja -p 3456:3456 vikunja/vikunja:2.2.0

# Verify version after upgrade
docker exec vikunja vikunja version

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

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