CVE-2025-30160

March 20, 2025, 7:15 p.m.

8.7
High

Description

Redlib is an alternative private front-end to Reddit. A vulnerability has been identified in Redlib where an attacker can cause a denial-of-service (DOS) condition by submitting a specially crafted base2048-encoded DEFLATE decompression bomb to the restore_preferences form. This leads to excessive memory consumption and potential system instability, which can be exploited to disrupt Redlib instances. This vulnerability is fixed in 0.36.0.

Product(s) Impacted

Vendor Product Versions
Redlib
  • Redlib
  • <0.36.0, 0.36.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-400
Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.

*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 redlib redlib <0.36.0 / / / / / / /
a redlib redlib 0.36.0 / / / / / / /

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/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: March 20, 2025, 7:15 p.m.
Last Modified: March 20, 2025, 7:15 p.m.

Status : Awaiting Analysis

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.