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Exposure of Sensitive Information in mltable

Moderate severity GitHub Reviewed Published Dec 12, 2023 to the GitHub Advisory Database • Updated Dec 21, 2023

Package

pip mltable (pip)

Affected versions

< 1.5.0

Patched versions

1.5.0

Description

Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability

References

Published by the National Vulnerability Database Dec 12, 2023
Published to the GitHub Advisory Database Dec 12, 2023
Reviewed Dec 12, 2023
Last updated Dec 21, 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
Local
Attack complexity
High
Privileges required
Low
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:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N

EPSS score

0.053%
(22nd percentile)

Weaknesses

CVE ID

CVE-2023-35625

GHSA ID

GHSA-m5pc-86x8-wcxg

Source code

No known source code
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