If you landed here from a search for "best npm security tool," you're probably evaluating a list that includes Socket, Snyk, and npm audit. Commit is newer and does something different. This page will tell you exactly what each tool does, where it wins, and where it doesn't — including Commit's genuine gaps.
Short answer: most of these tools scan for known vulnerabilities. Commit scans for structural risk that exists before a vulnerability is known. They're complementary, not substitutes. If you only use one, you have blind spots.
What each tool actually measures
npm audit answers: "Does this package have a reported CVE?" It submits your package-lock.json to GitHub's Advisory Database and returns known matches. Free, built-in, reactive.
Snyk answers: "Does this package have a known vulnerability, and can I auto-fix it?" Adds license compliance, SAST for your own code, and container scanning. Strong database, strong integrations.
Socket answers: "Is this package doing something dangerous right now?" Static analysis of actual package source — not just CVE lookups. It catches supply chain attacks by scanning newly published version code for suspicious patterns (obfuscated code, unusual network calls, environment variable access). That's a different class of detection.
Commit answers: "Is this package a structural single point of failure?" Behavioral signals — maintainer depth, release consistency, bus factor, contributor history — from the npm registry and GitHub API. No CVE database. No code scanning. Just: how many humans stand between an attacker and the publish button, and how consistently have they shown up?
The comparison table
| Capability | npm audit | Snyk | Socket | Commit |
|---|---|---|---|---|
| Known CVE detection | ✅ | ✅ | ✅ | ❌ |
| Malicious package detection | ❌ | ⚠️ partial | ✅ real-time | ❌ |
| Typosquatting detection | ❌ | ❌ | ✅ | ❌ |
| Obfuscated code detection | ❌ | ❌ | ✅ | ❌ |
| Dangerous capabilities (network/shell/eval) | ❌ | ❌ | ✅ | ❌ |
| Bus factor / single-maintainer risk | ❌ | ❌ | ⚠️ partial | ✅ core focus |
| Release consistency over time | ❌ | ❌ | ❌ | ✅ |
| Contributor depth and longevity | ❌ | ❌ | ❌ | ✅ |
| Pre-attack structural signal | ❌ | ❌ | ❌ | ✅ |
| Auto-fix PRs | ⚠️ limited | ✅ | ❌ | ❌ |
| SAST (your own code) | ❌ | ✅ | ❌ | ❌ |
| MCP integration | ❌ | ❌ | ✅ | ✅ |
| Free tier | ✅ unlimited | ✅ 200 tests/mo | ✅ 1,000 scans/mo | ✅ |
| Paid tier starts at | Free | $25/dev/mo | $25/dev/mo | Free |
The ua-parser-js test case (2021)
In October 2021, Faisal Salman's npm account was compromised and three backdoored versions of ua-parser-js were published (0.7.29, 0.8.0, 1.0.0). The malicious code contained a cryptominer and credential-stealing trojan that ran on every system that ran npm install in the four-hour window before the packages were pulled.
ua-parser-js had approximately 7 million weekly downloads. Used by Facebook, Microsoft, Amazon, and Google.
Here's how each tool would have performed:
| Tool | Before the attack | During the attack |
|---|---|---|
| npm audit | 0 vulnerabilities |
0 vulnerabilities — silent until CVE filed days later |
| Snyk | No advisory match | Detected after Socket flagged it and community reported |
| Socket | No pre-attack warning | ✅ Flagged within 6 minutes via automated malware scanner |
| Commit | 🔴 CRITICAL — flagged for months: 1 maintainer, 101M weekly downloads | Still CRITICAL (structural risk unchanged) — no code-level detection |
Two different signals. Socket detected the attack six minutes after it was launched by scanning the malicious code. Commit had identified the structural vulnerability — one person controls the publish button for 101 million weekly downloads — for months before anyone pulled the trigger.
Socket is genuinely impressive here. Fast detection can prevent most damage if you have auto-blocking enabled. But the structural conditions that make axios a high-value target are visible right now, and no amount of malware scanning changes those conditions. The attack calculus is rational: single maintainer, enormous blast radius.
The gap none of them close
Socket, Snyk, and npm audit are all reactive to the wrong thing. They detect when something has gone wrong — either by finding a known CVE or by scanning newly-published code for malicious patterns. They cannot tell you whether your dependency portfolio is structurally dangerous before an attack occurs.
Two examples:
| Package | Weekly Downloads | Maintainers | npm audit | Commit |
|---|---|---|---|---|
chalk |
413M | 1 | 0 vulnerabilities |
🔴 CRITICAL |
zod |
158M | 1 | 0 vulnerabilities |
🔴 CRITICAL |
Neither chalk nor zod has a known vulnerability. npm audit, Snyk, and Socket all return clean results. But both have a single person with publish access to hundreds of millions of weekly installs. When (not if) an attacker evaluates those credentials as a target, they make the same rational calculation that was made for ua-parser-js in 2021: compromise one account, get code execution on the systems of millions of developers.
Socket will catch that attack in minutes after it happens. Commit tells you the structural risk exists today — so you can make informed decisions about whether that dependency belongs in your critical path.
Where each tool wins
Use npm audit if: You need zero setup, you want to catch low-hanging CVE fruit in CI without paying anything, and you understand it's a known-vuln scanner, not supply chain security. It catches real things. It just has a fundamental floor.
Use Snyk if: You want CVE scanning with strong auto-fix PRs, SAST for your own code, and container/IaC coverage. The integrations are excellent. The database is well-maintained. If you have a team running multiple projects and want remediation velocity, Snyk earns its price.
Use Socket if: You want real-time protection against active malware in the npm registry. Socket is genuinely doing something the others don't — scanning package source code as it's published and catching malicious payloads before most humans have noticed. The six-minute ua-parser-js detection is not marketing; it's the product working as designed. If your threat model includes active supply chain attacks, Socket belongs in your pipeline.
Use Commit if: You want to understand the structural risk in your dependency portfolio before anything bad happens. If you're doing architecture review, onboarding new dependencies, evaluating critical-path packages, or just want to understand which of your dependencies is a single point of failure at massive scale — that's what Commit measures.
What Commit doesn't do
Commit does not scan for CVEs. It does not detect malicious code. It does not flag typosquatting, obfuscated payloads, or dangerous API usage. If your dependency ships a backdoor, Commit will not catch the backdoor. Socket will (if it's in the registry). npm audit will catch it eventually (when someone files a CVE).
Commit measures one thing: how much sustained human commitment stands behind this package. Maintainer depth, release consistency, contributor longevity, download momentum relative to structural fragility. These signals are public, computable in milliseconds from the npm and GitHub APIs, and systematically ignored by every other tool in this comparison.
The honest recommendation
Run npm audit in CI. It's free and catches real things. Add Socket if you can afford it and your threat model includes supply chain attacks — the real-time detection is legitimate. Consider Snyk if you want auto-fix PRs and SAST coverage.
Add Commit to understand the structural risk in what you're already depending on. It takes 60 seconds to get an MCP server running that answers "is this package a single point of failure?" for any npm or PyPI package you ask Claude about.
The ua-parser-js attack wasn't a failure of security tooling. Every tool performed as designed. The failure was thinking that vulnerability scanning and supply chain security are the same problem. They're not.
Try Commit: getcommit.dev/audit — paste any package.json and get structural risk scores in seconds. Zero install.
MCP server (Claude Desktop, Cursor, Windsurf): one-line JSON config, no API key needed. Docs.
Open source: github.com/piiiico/proof-of-commitment
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