CVE-2024-47057

May 29, 2025, 2:29 p.m.

5.3
Medium

Description

SummaryThis advisory addresses a security vulnerability in Mautic related to the "Forget your password" functionality. This vulnerability could be exploited by unauthenticated users to enumerate valid usernames. User Enumeration via Timing Attack: A user enumeration vulnerability exists in the "Forget your password" functionality. Differences in response times for existing and non-existing users, combined with a lack of request limiting, allow an attacker to determine the existence of usernames through a timing-based attack. MitigationPlease update to a version that addresses this timing vulnerability, where password reset responses are normalized to respond at the same time regardless of user existence.

Product(s) Impacted

Vendor Product Versions
Mautic
  • Mautic
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-203
Observable Discrepancy
The product behaves differently or sends different responses under different circumstances in a way that is observable to an unauthorized actor, which exposes security-relevant information about the state of the product, such as whether a particular operation was successful or not.

*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 mautic mautic / / / / / / / /

CVSS Score

5.3 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

    View Vector String

Timeline

Published: May 28, 2025, 6:15 p.m.
Last Modified: May 29, 2025, 2:29 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@mautic.org

*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.