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Use of Cryptographically Weak Pseudo-Random Number Generator in org.pac4j:pac4j-saml

Moderate severity GitHub Reviewed Published Nov 6, 2019 to the GitHub Advisory Database • Updated Feb 1, 2023

Package

maven org.pac4j:pac4j-saml (Maven)

Affected versions

< 3.8.2

Patched versions

3.8.2

Description

The SAML identifier generated within SAML2Utils.java was found to make use of the apache commons-lang3 RandomStringUtils class which makes them predictable due to RandomStringUtils PRNG's algorithm not being cryptographically strong. This issue only affects the 3.X release of pac4j-saml.

References

Published by the National Vulnerability Database Sep 23, 2019
Reviewed Nov 5, 2019
Published to the GitHub Advisory Database Nov 6, 2019
Last updated Feb 1, 2023

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
High
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N

EPSS score

0.065%
(30th percentile)

Weaknesses

CVE ID

CVE-2019-10755

GHSA ID

GHSA-rc75-cf5c-mxvh

Source code

No known source code
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