CVE-2025-46573

May 6, 2025, 9:16 p.m.

4.6
Medium

Description

passport-wsfed-saml2 provides passport strategy for both WS-fed and SAML2 protocol. A vulnerability present starting in version 3.0.5 up to and including version 4.6.3 allows an attacker to impersonate any user during SAML authentication by tampering with a valid SAML response. This can be done by adding attributes to the response. Users are affected specifically when the service provider is using `passport-wsfed-saml2` and a valid SAML Response signed by the Identity Provider can be obtained. Version 4.6.4 contains a fix for the vulnerability.

Product(s) Impacted

Vendor Product Versions
Passport
  • Wsfed-saml2
  • 3.0.5-4.6.3, 4.6.4

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-287
Improper Authentication
When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct.

*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 passport wsfed-saml2 3.0.5-4.6.3 / / / / / / /
a passport wsfed-saml2 4.6.4 / / / / / / /

CVSS Score

4.6 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • Exploit Maturity: UNREPORTED
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N/E:U/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 6, 2025, 9:16 p.m.
Last Modified: May 6, 2025, 9:16 p.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.