Open-source atomic malware analysis

Analyze another

trace-ai-python 0.1.0

WHL
Verdict: BENIGN
“Observability for LLM workflows — tokens, latency, cost, and anomaly detection”
Mal-ecule
O(C)H(Cm)
Size 7.8 KB download unavailable
First seen 51 days ago
Analyzed 51 days ago
Ecosystem python

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Identity

SHA-256 bf6bb69857749683279a5c94eba2ddceec86ff6e878a800c255e92d556f5ff6a
Canonical SHA-256 24a6500be08bf911cbc48074ac00d8777c526b7a9c66b1bddd552a2065f7d0d5
Filename trace_ai_python-0.1.0-py3-none-any.whl
Package trace-ai-python
Version 0.1.0
PURL pkg:pypi/[email protected]

Timeline

First seen 25 Jun 2026 21:56 UTC
First analyzed 25 Jun 2026 21:58 UTC
Last analyzed 25 Jun 2026 21:58 UTC
Last updated 25 Jun 2026 21:58 UTC

Labeling

Label unknown
Label source forager
Traits version 868bd