CVE-2026-41654

May 7, 2026, 3:46 p.m.

5.3
Medium

Description

Weblate is a web based localization tool. Prior to version 5.17.1, an authenticated user with project.add permission (default on hosted Weblate SaaS and for any user holding an active billing/trial plan) can import a crafted project backup ZIP whose components/<name>.json contains an attacker-chosen repo URL pointing at a private address (e.g. http://127.0.0.1:9999/) or using a non-allow-listed scheme (e.g. file://, git://). Weblate persists the component via Component.objects.bulk_create([component])[0], which bypasses Django's full_clean() and therefore never runs the validate_repo_url validator. The URL is subsequently written verbatim into .git/config by configure_repo(pull=False). This issue has been patched in version 5.17.1.

Product(s) Impacted

Vendor Product Versions
Weblate
  • Weblate
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

CVSS Score

5.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:L/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: May 7, 2026, 3:16 p.m.
Last Modified: May 7, 2026, 3:46 p.m.

Status : Undergoing Analysis

CVE is currently being analyzed by NVD staff, this process results in association of reference link tags, CVSS scores, CWE association, and CPE applicability statements.

More info

*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.