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Penthera and Socket

Pro. For “how does Penthera compare to Socket, and how do I run both?”
Last checked: 2026-10-19 against Socket’s public docs and pricing page.

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Use them together

Socket watches the open-source registries for malicious and risky packages and tells you about them in pull requests, in your editor and at install time. Penthera runs on your machine and checks the app you built, the packages already in your lockfile, and the AI tooling you build it with. A reasonable setup: Socket’s GitHub app or firewall on every dependency change, because it watches new releases across the registries and Penthera does not. Penthera before each deploy, for the app scan, the agent-config audit and the evidence, and anywhere a network call or an account is not an option.

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Side by side

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Where Socket goes further

  • It sees the whole registry. A freshly published package with a credential stealer in it can be flagged by Socket before you install it. Penthera only sees what is in front of it, with rules from its last release.
  • More ecosystems. Penthera’s dependency checks cover npm and Python today, and its install firewall covers npm only.
  • Human research. Socket’s researchers confirm and publish malware findings. Penthera has no threat-research team.
  • Reachability on paid plans, which narrows a long CVE list to the code paths you call.

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Where Penthera adds something

  • Your app, not only its packages. Headers, auth, IDOR, OAuth, OpenAPI, secrets in source, and fixes that are re-scanned to prove they worked.
  • The AI tooling on your machine. penthera agents --home reads your Claude Code, Cursor and MCP config and flags hidden instructions, unpinned servers and over-broad permissions.
  • Offline and account-free, which matters on air-gapped machines, in some public-sector work, and for anyone who cannot send a dependency list to a vendor.
  • Readable verdicts. Every finding points at a rule in this repository.

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A note on AI verdicts

Socket’s AI scanner once flagged Penthera itself as malware. That is an understandable call: Penthera’s test suite contains real attack payloads, because a security scanner has to be tested against them. It is also a fair illustration of the trade-off. An AI stage catches novel malware that no rule anticipated, and it can misread intent. Deterministic rules miss what they were not written for, and they always tell you exactly why they fired. The two approaches cover each other’s gaps, which is a good reason to run both.

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Run both

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