Deserialization in Numfocus Pandas
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
Vulnerability class: Insecure Deserialization
EPSS: 0.034 (87.7th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 9.8 (Critical). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.
Affected products
- Numfocus Pandas
- N/a — versions n/a
Weakness classification (CWE)
References
- cve@mitre.org (Exploit, Third Party Advisory, x_refsource_MISC)
- cve@mitre.org (Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2020-13091?
- CVE-2020-13091 is a critical-severity vulnerability in Numfocus Pandas, classified under Deserialization of Untrusted Data. CVSS score: 9.8/10. Published 2020-05-15.
- How severe is CVE-2020-13091?
- Critical severity. CVSS v3 base score is 9.8 out of 10.