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qlib Deserialization of Untrusted Data vulnerability

Moderate severity GitHub Reviewed Published May 24, 2022 to the GitHub Advisory Database • Updated Apr 29, 2024

Package

pip pyqlib (pip)

Affected versions

< 0.7.0

Patched versions

0.7.0

Description

This affects all versions of package qlib. The workflow function in cli part of qlib was using an unsafe YAML load function.

References

Published by the National Vulnerability Database Feb 15, 2021
Published to the GitHub Advisory Database May 24, 2022
Reviewed Apr 29, 2024
Last updated Apr 29, 2024

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
High
Privileges required
High
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

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:H/PR:H/UI:N/S:U/C:H/I:H/A:H

EPSS score

0.100%
(42nd percentile)

Weaknesses

CVE ID

CVE-2021-23338

GHSA ID

GHSA-hjr4-fhgp-23g9

Source code

No known source code
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