SafeDep's Analysis of Over 5,500 Malicious Open Source Packages

SafeDep's analysis of over 5,500 malicious open-source packages, sourced from Datadog's dataset, reveals concerning trends in software supply chain threats. The study found that 96.2% of these packages were flagged as malicious by SafeDep's scanning engine, with 71.9% exhibiting high-confidence detections. The majority (64%) originated from npm, followed by PyPI at 35%. Notably, 90% of these malicious packages were under 10KB in size, highlighting the compact nature of such threats. Common tactics included exfiltration via Burp Collaborator and pre-install command execution in npm scripts. Additionally, 44 typosquatting attempts were identified, targeting popular libraries like 'express' and 'django'. The analysis utilized YARA rules to identify recurring patterns, aiding in the detection of similar threats in the future.

https://safedep.io/malysis-evaluation-using-datadog-malicious-packages-dataset

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