Anomali Cyber Watch: Machine Learning Toolkit Targeted by Dependency Confusion, Multiple Campaigns Hide in Google Ads, Lazarus Group Experiments with Bypassing Mark-of-the-Web

The various threat intelligence stories in this iteration of the Anomali Cyber Watch discuss the following topics: APT, Backdoors, Data breaches, North Korea, Phishing, and Typosquatting. The IOCs related to these stories are attached to Anomali Cyber Watch and can be used to check your logs for potential malicious activity.



Figure 1 - IOC Summary Charts. These charts summarize the IOCs attached to this magazine and provide a glimpse of the threats discussed.



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PyTorch Discloses Malicious Dependency Chain Compromise Over Holidays



(published: January 1, 2023)



Between December 25th and December 30th, 2022, users who installed PyTorch-nightly were targeted by a malicious library. The malicious torchtriton dependency on PyPI uses the dependency confusion attack by having the same name as the legitimate one on the PyTorch repository (PyPI takes precedence unless excluded). The actor behind the malicious library claims that it was part of ethical research and that he alerted some affected companies via HackerOne programs (Facebook was allegedly alerted). At the same time the library’s features are more aligned with being a malware than a research project. The code is obfuscated, it employs anti-VM techniques and doesn’t stop at fingerprinting. It exfiltrates passwords, certain files, and the history of Terminal commands. Stolen data is sent to the C2 domain via encrypted DNS queries using the wheezy[.]io DNS server.Analyst Comment: The presence of the malicious torchtriton binary can be detected, and it should be uninstalled. PyTorch team has renamed the 'torchtriton' library to 'pytorch-triton' and reserved the name on PyPI to prevent similar attacks. Opensource repositories and apps are a valuable asset for many orga ..

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