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Loaded Databook of Tablib prone to python insertion resulting in command execution

Critical severity GitHub Reviewed Published Jul 13, 2018 to the GitHub Advisory Database • Updated Aug 23, 2023

Package

pip tablib (pip)

Affected versions

< 0.11.5

Patched versions

0.11.5

Description

An exploitable vulnerability exists in the Databook loading functionality of Tablib 0.11.4. A yaml loaded Databook can execute arbitrary python commands resulting in command execution. An attacker can insert python into loaded yaml to trigger this vulnerability.

References

Published by the National Vulnerability Database Jun 14, 2017
Published to the GitHub Advisory Database Jul 13, 2018
Reviewed Jun 16, 2020
Last updated Aug 23, 2023

Severity

Critical

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
None
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:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

EPSS score

2.789%
(91st percentile)

Weaknesses

No CWEs

CVE ID

CVE-2017-2810

GHSA ID

GHSA-gcr6-rf47-jrgf

Source code

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