Overview
A significant security vulnerability, CVE-2025-34188, has been identified in Vasion Print Virtual Appliance Host and Application systems. This vulnerability primarily affects macOS and Linux client deployments of these systems. The identified weakness involves the insecure storage of authentication session tokens in world-readable log files, potentially enabling unauthorized system access and data exposure.
Vulnerability Summary
CVE ID: CVE-2025-34188
Severity: High (CVSS 7.8)
Attack Vector: Local
Privileges Required: Low
User Interaction: None
Impact: Unauthorized system access, potential system compromise, and data leakage
Affected Products
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Product | Affected Versions
Vasion Print Virtual Appliance Host | versions prior to 1.0.735
Vasion Print Application (macOS/Linux client deployments) | versions prior to 20.0.1330
How the Exploit Works
The vulnerability lies in the local logging mechanism of the affected Vasion Print systems. Authentication session tokens, including PHPSESSID, XSRF-TOKEN, and laravel_session, are stored in plaintext within world-readable log files. Any local user with access to the server hosting these logs can extract these session tokens. Once obtained, these tokens can be used to authenticate remotely to the SaaS environment, bypassing the standard login procedure. This can potentially lead to unauthorized system access and exposure of sensitive information.
Conceptual Example Code
Here is a conceptual example of how this vulnerability might be exploited:
# Access the log file
cat /path/to/logfile.log
# Look for session tokens
grep -o -P '(?<=PHPSESSID:).*(?=,)' logfile.log
grep -o -P '(?<=XSRF-TOKEN:).*(?=,)' logfile.log
grep -o -P '(?<=laravel_session:).*(?=,)' logfile.log
# Use the extracted tokens to authenticate
curl -H 'Cookie: PHPSESSID=extracted_token; XSRF-TOKEN=extracted_token; laravel_session=extracted_token' https://target-saas-env.com
This code block is a conceptual example and does not represent an actual exploit. It demonstrates the process of extracting session tokens from log files and using them to bypass normal authentication procedures.

