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CVE Vulnerability Database
Vulnerability Database/CVE-2024-58343

CVE-2024-58343: Vision Helpdesk Information Disclosure

CVE-2024-58343 is an information disclosure vulnerability in Vision Helpdesk that allows attackers to read user profiles through modified serialized cookie data. This article covers technical details, affected versions, and mitigation.

Published: April 16, 2026

CVE-2024-58343 Overview

CVE-2024-58343 is an insecure deserialization vulnerability in Vision Helpdesk before version 5.7.0 (patched in version 5.6.10) that allows authenticated attackers to read user profiles via modified serialized cookie data. The vulnerability exists in the handling of the vis_client_id cookie parameter, where insufficient validation of serialized data enables unauthorized access to sensitive user information.

Critical Impact

Attackers can exploit this vulnerability to access other users' profile data by manipulating serialized cookie values, potentially exposing sensitive customer and support agent information within the helpdesk system.

Affected Products

  • Vision Helpdesk versions prior to 5.7.0
  • Vision Helpdesk versions prior to 5.6.10

Discovery Timeline

  • 2026-04-16 - CVE CVE-2024-58343 published to NVD
  • 2026-04-16 - Last updated in NVD database

Technical Details for CVE-2024-58343

Vulnerability Analysis

This vulnerability is classified under CWE-425 (Direct Request / Forced Browsing), indicating an access control weakness where the application fails to properly verify that a user is authorized to access a requested resource. In the context of Vision Helpdesk, the vulnerability manifests through improper handling of serialized data within the vis_client_id cookie.

When a user authenticates to Vision Helpdesk, the application stores session and user identification data in a serialized format within cookies. The application trusts and deserializes this cookie data without adequately verifying that the requesting user has authorization to access the referenced user profile. An attacker with a valid low-privileged account can modify the serialized cookie data to reference another user's identifier, causing the application to return that user's profile information.

This represents a horizontal privilege escalation attack vector where authenticated users can access data belonging to other users at the same privilege level, violating the principle of least privilege and data isolation between user accounts.

Root Cause

The root cause of this vulnerability lies in the application's implicit trust of client-supplied serialized data within the vis_client_id cookie. The application deserializes and processes this cookie value without implementing server-side validation to confirm that the authenticated user has permission to access the referenced user profile. This missing authorization check allows any authenticated user to manipulate the cookie to access arbitrary user profiles.

Attack Vector

The attack requires network access and low-privileged authentication to the Vision Helpdesk application. An attacker must first obtain valid credentials to authenticate to the helpdesk system. Once authenticated, the attacker can intercept and modify the vis_client_id cookie value to contain a different user's identifier in serialized form. When the application processes this modified cookie, it returns the targeted user's profile information without verifying authorization.

The attack flow involves:

  1. Authenticating to Vision Helpdesk with valid low-privileged credentials
  2. Capturing the vis_client_id cookie from the browser or proxy
  3. Decoding and modifying the serialized data to reference a different user ID
  4. Replaying the request with the modified cookie
  5. Receiving unauthorized access to the targeted user's profile data

Detection Methods for CVE-2024-58343

Indicators of Compromise

  • Unusual patterns of user profile access from a single authenticated session
  • Multiple profile lookups for different users in rapid succession from the same source IP
  • Anomalous cookie values in web server access logs with modified vis_client_id parameters
  • Failed deserialization errors or exceptions in application logs that may indicate tampering attempts

Detection Strategies

  • Implement web application firewall (WAF) rules to detect anomalous cookie manipulation patterns
  • Monitor application logs for unauthorized user profile access attempts across different user contexts
  • Deploy endpoint detection solutions to identify tools commonly used for cookie manipulation and web interception
  • Configure SentinelOne Singularity XDR to correlate web application events with endpoint activity for comprehensive threat detection

Monitoring Recommendations

  • Enable detailed access logging for user profile endpoints in Vision Helpdesk
  • Configure alerting for single sessions accessing multiple distinct user profiles
  • Implement session integrity monitoring to detect cookie tampering
  • Review application logs for deserialization errors that may indicate exploitation attempts

How to Mitigate CVE-2024-58343

Immediate Actions Required

  • Upgrade Vision Helpdesk to version 5.6.10 or 5.7.0 immediately
  • Audit access logs for signs of historical exploitation or unauthorized profile access
  • Force session termination for all active users to invalidate potentially compromised cookies
  • Implement additional network segmentation to limit exposure of the helpdesk application

Patch Information

Vision Helpdesk has addressed this vulnerability in version 5.6.10 and subsequent releases including 5.7.0. Organizations should apply the latest available patch to remediate this vulnerability. Additional technical details regarding the vulnerability and available exploits can be found in the GitHub Vision Helpdesk Exploit repository and the WebSec security blog post.

Workarounds

  • Restrict network access to the Vision Helpdesk application to trusted IP ranges using firewall rules
  • Implement additional authentication layers such as multi-factor authentication (MFA) to reduce credential-based attack surface
  • Deploy a web application firewall (WAF) with rules to detect and block serialized data manipulation in cookies
  • Monitor and rate-limit user profile access requests to detect and prevent enumeration attacks

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

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechVision Helpdesk

  • SeverityMEDIUM

  • CVSS Score4.3

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-425
  • Technical References
  • GitHub Vision Helpdesk Exploit

  • WebSec Critical Vulnerability Blog
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