In-depth Analysis of the PyTorch Dependency Confusion Administered Malware
Tags
attack-pattern: Data Models Dns - T1071.004 Dns - T1590.002 Dns Server - T1583.002 Dns Server - T1584.002 Malware - T1587.001 Malware - T1588.001 Python - T1059.006 Software - T1592.002 Ssh - T1021.004
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Common Information
Type Value
UUID 26b00eed-1f68-451f-9545-7f0ad7255d37
Fingerprint a5251d1d89111716
Analysis status DONE
Considered CTI value 0
Text language
Published Jan. 4, 2023, 6:27 p.m.
Added to db Oct. 24, 2023, 1:32 p.m.
Last updated Dec. 19, 2024, 1:52 a.m.
Headline In-depth Analysis of the PyTorch Dependency Confusion Administered Malware
Title In-depth Analysis of the PyTorch Dependency Confusion Administered Malware
Detected Hints/Tags/Attributes 35/1/4
Source URLs
Redirection Url
Details Source https://blog.aquasec.com/pytorch-dependency-confusion-administered-malware
URL Provider
Details Provider Source level domain
Details aquasec.com blog.aquasec.com
Attributes
Details Type #Events CTI Value
Details Domain 4 
h4ck.cfd
Details Domain 4 
wheezy.io
Details File 69 
__init__.py
Details md5 1 
908596ffe11c30d1669431f3f4cb54f2