CVE-2025-34208

Oct. 2, 2025, 7:11 p.m.

8.2
High

Description

Vasion Print (formerly PrinterLogic) Virtual Appliance Host and Application (VA/SaaS deployments) store user passwords using unsalted SHA-512 hashes with a fall-back to unsalted SHA-1. The hashing is performed via PHP's `hash()` function in multiple files (server_write_requests_users.php, update_database.php, legacy/Login.php, tests/Unit/Api/IdpControllerTest.php). No per-user salt is used and the fast hash algorithms are unsuitable for password storage. An attacker who obtains the password database can recover cleartext passwords via offline dictionary or rainbow table attacks. The vulnerable code also contains logic that migrates legacy SHA-1 hashes to SHA-512 on login, further exposing users still on the old hash. This vulnerability was partially resolved, but still present within the legacy authentication platform.

Product(s) Impacted

Vendor Product Versions
Printerlogic
  • Vasion Print
  • Virtual Appliance
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-327
Use of a Broken or Risky Cryptographic Algorithm
The product uses a broken or risky cryptographic algorithm or protocol.

CVSS Score

8.2 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: Oct. 2, 2025, 5:16 p.m.
Last Modified: Oct. 2, 2025, 7:11 p.m.

Status : Undergoing Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

disclosure@vulncheck.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.