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"textContent": "When security teams talk about \"scanning\" code in CI/CD, they usually mean one of two very different things: scanning the code you wrote (SAST) or scanning the open-source code you imported (SCA). Both are called \"security scanners.\" Both produce findings with severities and CVE-like identifiers. But they catch almost completely different vulnerability classes, and understanding that distinction determines whether you actually close your real risk gaps or just feel like you have.\n\n## What SAST scans\n\n**Static Application Security Testing (SAST)** reads your source code — the JavaScript, Python, Java, Go, Ruby files that your team writes — and looks for security flaws in the code itself. SQL injection in a database query. A hardcoded AWS key in a config file. An XSS vector in a template. A call to `MD5` where `bcrypt` should be. An HTTP endpoint that passes user input to a shell command.\n\nSAST doesn't know about or care about which npm packages you installed. It's analyzing your code logic. A SAST tool will flag this:\n\n\n\n const result = db.query(`SELECT * FROM users WHERE id = ${req.params.id}`);\n\n\n...because the user-controlled value `req.params.id` flows directly into a SQL query without parameterization. It doesn't matter which database library you're using or whether that library has any CVEs. The bug is in your code.\n\n## What SCA scans\n\n**Software Composition Analysis (SCA)** reads your dependency manifest — `package.json`, `requirements.txt`, `pom.xml`, `go.mod` — and checks every package (direct and transitive) against a vulnerability database like OSV. If you're running `lodash@4.17.4`, which has a known prototype pollution CVE, SCA flags it.\n\nSCA doesn't analyze your code at all. It's checking the versions of the packages you depend on against a list of known-vulnerable versions. A perfect SAST run with zero findings can coexist with fifty SCA findings in your dependencies — and vice versa.\n\n## The blind spots in each\n\n**What SAST can't see:**\n\n * Vulnerabilities introduced by the open-source packages you import\n * Supply-chain attacks with no CVE (typosquatting, dependency confusion)\n * Runtime configuration mistakes in cloud infrastructure\n * Bugs that only manifest under specific execution conditions\n\n\n\n**What SCA can't see:**\n\n * Security bugs in the code your team writes\n * Hardcoded credentials in your own source files\n * Weak cryptographic choices in your own logic\n * Framework misconfigurations (CSRF disabled, DEBUG mode on, CORS wildcard)\n\n\n\nThe blind spots are almost perfectly complementary. An attacker probing your application has two main paths: exploit a bug in your code (SAST territory) or exploit a bug in a library you imported (SCA territory). Both scanners, covering both paths.\n\n## A concrete example: two reports, two attack surfaces\n\nImagine a Node.js API with these two problems:\n\n**Problem A (SAST territory):** In `controllers/user.js`, you build a MongoDB query with string interpolation from `req.query.username`. This is a NoSQL injection vulnerability. It's in your code. No CVE exists for it. SCA will never find it.\n\n**Problem B (SCA territory):** You depend on `jsonwebtoken@8.5.1`, which has a known algorithm confusion vulnerability (CVE-2022-23529). Your code calls `jwt.verify()` correctly. SAST may not flag it because the call looks correct in isolation — the vulnerability is in the library's internal implementation.\n\nThese are two real attack vectors. One scanner catches Problem A; the other catches Problem B. Running only SCA leaves NoSQL injection open. Running only SAST leaves the JWT library vulnerability open.\n\n## The combined CI gate\n\nThe most effective CI configuration runs both in parallel:\n\n\n\n # GitHub Actions — combined SCA + SAST gate\n - uses: Rushabh5000/dep-warden/cli@main\n with:\n file: package-lock.json # SCA: dependency scan\n sast-dir: ./src # SAST: static analysis\n fail-on: high\n sast-fail-on: high\n\n\nThis single step:\n\n * Parses `package-lock.json`, resolves the full transitive dependency tree, checks OSV/KEV/EPSS for vulnerabilities and typosquats\n * Walks `./src`, detects languages, runs pattern + taint analysis across all source files against 300+ security rules\n * Fails the build if either scan produces a HIGH or CRITICAL finding\n\n\n\nTwo scan types, one gate, no account required.\n\n## Prioritization across both\n\nWhen findings come from both SAST and SCA, the combined priority order:\n\n 1. **SCA: KEV-listed + direct dependency + fix available** — attackers are actively using this, you can fix it now\n 2. **SAST: HIGH-confidence injection/RCE finding** — user input confirmed flowing to a dangerous sink\n 3. **SCA: HIGH CVSS + EPSS > 0.10 + fix available** — elevated exploitation probability\n 4. **SAST: hardcoded credential** — immediate exposure risk if it reaches a repo\n 5. **Everything else** — triage by severity and confidence, don't block releases on MEDIUM/LOW\n\n\n\n## What DepWarden gives you\n\nDepWarden combines both scanners in one tool, free and without an account:\n\n * **SCA** across 11 package ecosystems (npm, PyPI, Maven, Gradle, Go, Cargo, Composer, RubyGems, NuGet, Dart, Swift) with OSV/KEV/EPSS enrichment and exploitability-first prioritization\n * **SAST** across 15 languages and IaC formats, with 300+ security rules covering injection, XSS, secrets, weak crypto, framework-specific misconfigurations, and more\n * A single **GitHub Action** that gates pull requests with both scanners in one step\n\n\n\nThe only scanner you need in CI to cover the two main attack paths against your application.\n\nSee also: what is SAST?, CVSS, EPSS and KEV guide, free Snyk alternative.",
"title": "SAST vs SCA: why your CI pipeline needs both"
}