CVE Vulnerabilities

CVE-2020-13091

Deserialization of Untrusted Data

Published: May 15, 2020 | Modified: Nov 21, 2024
CVSS 3.x
9.8
CRITICAL
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
7.5 HIGH
AV:N/AC:L/Au:N/C:P/I:P/A:P
RedHat/V2
RedHat/V3
Ubuntu
NEGLIGIBLE

pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the read_pickle() function is documented as unsafe and it is the users responsibility to use the function in a secure manner

Weakness

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

Affected Software

Name Vendor Start Version End Version
Pandas Numfocus * 1.0.3 (including)
Pandas Ubuntu bionic *
Pandas Ubuntu eoan *
Pandas Ubuntu groovy *
Pandas Ubuntu hirsute *
Pandas Ubuntu impish *
Pandas Ubuntu kinetic *
Pandas Ubuntu lunar *
Pandas Ubuntu mantic *
Pandas Ubuntu trusty *
Pandas Ubuntu xenial *

Potential Mitigations

  • Make fields transient to protect them from deserialization.
  • An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.

References