Vulnerability Description
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 Score
CRITICAL
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Numfocus | Pandas | <= 1.0.3 |
Related Weaknesses (CWE)
References
- https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.mdExploitThird Party Advisory
- https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.htThird Party Advisory
- https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.mdExploitThird Party Advisory
- https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.htThird Party Advisory
FAQ
What is CVE-2020-13091?
CVE-2020-13091 is a vulnerability with a CVSS score of 9.8 (CRITICAL). 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 i...
How severe is CVE-2020-13091?
CVE-2020-13091 has been rated CRITICAL with a CVSS base score of 9.8/10. This is considered a critical vulnerability requiring immediate attention.
Is there a patch for CVE-2020-13091?
Check the references section above for vendor advisories and patch information. Affected products include: Numfocus Pandas.