CVE-2025-64349

Oct. 31, 2025, 7:15 p.m.

8.7
High

Description

ELOG allows an authenticated user to modify another user's profile. An attacker can edit a target user's email address, then request a password reset, and take control of the target account. By default, ELOG is not configured to allow self-registration.

Product(s) Impacted

Vendor Product Versions
Elog
  • Elog
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-862
Missing Authorization
The product does not perform an authorization check when an actor attempts to access a resource or perform an action.

*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 elog elog / / / / / / / /

References

https://bitbucket.org/ritt/elog/commits/7092ff64f6eb9521f8cc8c52272a020bf3730946
https://bitbucket.org/ritt/elog/commits/f81e5695c40997322fe2713bfdeba459d9de09dc
https://raw.githubusercontent.com/cisagov/CSAF/develop/csaf_files/IT/white/2025/va-25-304-01.json
https://www.cve.org/CVERecord?id=CVE-2025-64349

Tags

CWE-862
9119a7d8-5eab-497f-8521-727c672e3725
2025-10-31
CVE-2025-64349

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED

    • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/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: Oct. 31, 2025, 7:15 p.m.
Last Modified: Oct. 31, 2025, 7:15 p.m.

Status : Received

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

More info

Source

9119a7d8-5eab-497f-8521-727c672e3725

*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.