PkgRadar

Package evidence

aegis-ai==0.7.4

Py Import Time Subprocess: subprocess call — process spawning.

Trust signals

Why this verdict

PkgRadar discounts a release’s score when public reputation argues against novel malware. The verdict above already reflects these — the panel just explains what was applied.

Versions published
22Established · −30% score
First published
Jul 2025

Effective trust discount applied: 30% (max across signals — discounts don’t stack). New install-lifecycle deltas vs the previous release would clear the discount.

Recommended action

Review before promoting

Mixed signals: the package has indicators worth reading before allowing the update in automated dependency flows.

Block this release in CIcurl · GitHub Actions

Fail the build when this package version is added or upgraded. Replace $PKGRADAR_TOKEN with a Pro / Team API key from your dashboard.

curl -fsS https://pkgradar.com/gate/npm \
  -H "Authorization: Bearer $PKGRADAR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"specs":["aegis-ai==0.7.4"],"fail_on":"review"}'

GitHub Actions step:

- name: PkgRadar gate
  run: |
    curl -fsS https://pkgradar.com/gate/npm \
      -H "Authorization: Bearer ${{ secrets.PKGRADAR_TOKEN }}" \
      -H "Content-Type: application/json" \
      -d '{"specs":["aegis-ai==0.7.4"],"fail_on":"review"}'
Publisherunknown
Artifact bytes19,158,355
Previous versionnone
Published2026-06-05T14:16:45
SHA-25690665de6c3a0bbfb00d137943c1669e96683fb2568bf73431e8dd9d77c02c6dd

Why flagged

What the scanner saw

Py Import Time Subprocess: subprocess call — process spawning.

Not observed: package install, lifecycle script execution, or sandbox execution. PkgRadar only inspects on-disk artifacts.

Availability ledger

available

review
Last checked
reviewRisk
38Score
0.7.4Version
Status history (1 event)
  1. newavailable · risk review · score 38 · status changed

Evidence

Static findings

5 static · 0 from release diff · showing high-signal first.

SeverityKindPathDetailPoints
mediumPy Import Time Subprocessaegis_ai-0.7.4/src/aegis_ai/toolsets/tools/kernel_cves/__init__.pysubprocess call — process spawning.32
mediumRemote Payloadaegis_ai-0.7.4/evals/features/cve/generate_kernel_eval_csv.pymatched "curl "12
Show all 5 findings (low-signal and informational)
SeverityKindPathDetailPoints
mediumPy Import Time Subprocessaegis_ai-0.7.4/src/aegis_ai/toolsets/tools/kernel_cves/__init__.pysubprocess call — process spawning.32
mediumRemote Payloadaegis_ai-0.7.4/evals/features/cve/generate_kernel_eval_csv.pymatched "curl "12
lowCredential file accessaegis_ai-0.7.4/evals/features/cve/test_suggest_statement.pymatched ".npmrc"5
lowCredential file accessaegis_ai-0.7.4/evals/ghsa_cache/GHSA-2phv-j68v-wwqx.jsonmatched ".npmrc"3
lowCredential file accessaegis_ai-0.7.4/evals/osidb_cache/CVE-2025-69262.jsonmatched ".npmrc"3