tlubitz / SBtab

SBtab - Table format for Systems Biology:
www.sbtab.net
MIT License
6 stars 8 forks source link

CVE-2020-13091 (High) detected in pandas-0.24.2-cp27-cp27mu-manylinux1_x86_64.whl - autoclosed #100

Closed mend-bolt-for-github[bot] closed 2 years ago

mend-bolt-for-github[bot] commented 3 years ago

CVE-2020-13091 - High Severity Vulnerability

Vulnerable Library - pandas-0.24.2-cp27-cp27mu-manylinux1_x86_64.whl

Powerful data structures for data analysis, time series, and statistics

Library home page: https://files.pythonhosted.org/packages/db/83/7d4008ffc2988066ff37f6a0bb6d7b60822367dcb36ba5e39aa7801fda54/pandas-0.24.2-cp27-cp27mu-manylinux1_x86_64.whl

Path to dependency file: SBtab/requirements.txt

Path to vulnerable library: SBtab/requirements.txt

Dependency Hierarchy: - :x: **pandas-0.24.2-cp27-cp27mu-manylinux1_x86_64.whl** (Vulnerable Library)

Found in HEAD commit: 687bc87360e883185002d26d4fa1f63fddca69b6

Found in base branch: master

Vulnerability Details

** 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.

Publish Date: 2020-05-15

URL: CVE-2020-13091

CVSS 3 Score Details (9.8)

Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: High - Availability Impact: High

For more information on CVSS3 Scores, click here.


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mend-bolt-for-github[bot] commented 2 years ago

:heavy_check_mark: This issue was automatically closed by Mend because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the Mend inventory.