CVE-2025-68932

Dec. 27, 2025, 12:15 a.m.

2.9
Low

Description

FreshRSS is a free, self-hostable RSS aggregator. Prior to version 1.28.0, FreshRSS uses cryptographically weak random number generators (mt_rand() and uniqid()) to generate remember-me authentication tokens and challenge-response nonces. This allows attackers to predict valid session tokens, leading to account takeover through persistent session hijacking. The remember-me tokens provide permanent authentication and are the sole credential for "keep me logged in" functionality. This issue has been patched in version 1.28.0.

Product(s) Impacted

Vendor Product Versions
Freshrss
  • Freshrss
  • <1.28.0, 1.28.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-338
Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
The product uses a Pseudo-Random Number Generator (PRNG) in a security context, but the PRNG's algorithm is not cryptographically strong.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a freshrss freshrss <1.28.0 / / / / / / /
a freshrss freshrss 1.28.0 / / / / / / /

CVSS Score

2.9 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/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: Dec. 27, 2025, 12:15 a.m.
Last Modified: Dec. 27, 2025, 12:15 a.m.

Status : Received

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

More info

Source

security-advisories@github.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.