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Command Injection in Limdu

Low severity GitHub Reviewed Published Jun 15, 2020 in erelsgl/limdu • Updated Mar 31, 2023

Package

npm limdu (npm)

Affected versions

<= 0.9.4

Patched versions

0.9.5

Description

Impact

The trainBatch function has a command injection vulnerability. Clients of the Limdu library are unlikely to be aware of this, so they might unwittingly write code that contains a vulnerability.

Patches

Patched in version 0.9.5.

Workarounds

Do not use trainBatch with classifiers that rely on shell execution, such as SVM Perf, SVM Linear or Adaboost

References

No

References

@erelsgl erelsgl published to erelsgl/limdu Jun 15, 2020
Reviewed Jun 17, 2020
Published to the GitHub Advisory Database Jun 22, 2020
Last updated Mar 31, 2023

Severity

Low

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
Low
Integrity
Low
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:L/I:L/A:N

EPSS score

0.162%
(53rd percentile)

Weaknesses

CVE ID

CVE-2020-4066

GHSA ID

GHSA-77qv-gh6f-pgh4

Source code

Credits

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