CVE-2020-13091

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 user's responsibility to use the function in a secure manner

CVSS v3 9.8 CRITICAL
CVSS v2.0 7.5 HIGH

9.8^/10

CVSS v3 : CRITICAL

Vector :

Exploitability : 3.9 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction NONE

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

7.5^/10

CVSS v2.0 : HIGH

Vector : AV:N/AC:L/Au:N/C:P/I:P/A:P

Exploitability : 10.0 / Impact : 6.4

Access Vector NETWORK

Access Complexity LOW

Authentication NONE

Confidentiality Impact PARTIAL

Integrity Impact PARTIAL

Availability Impact PARTIAL

References

Link	Resource
https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.md	Exploit Third Party Advisory
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html	Third Party Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:numfocus:pandas:*:*:*:*:*:*:*:*

History

07 Nov 2023, 03:16

Type	Values Removed	Values Added
Summary	DISPUTED 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 user's responsibility to use the function in a secure manner.	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 user's responsibility to use the function in a secure manner

Information

Published : 2020-05-15 19:15

Updated : 2024-04-11 01:06

NVD link : CVE-2020-13091

Mitre link : CVE-2020-13091

CVE.ORG link : CVE-2020-13091

JSON object : View

Products Affected

numfocus

pandas

CWE

CWE-502

Deserialization of Untrusted Data

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