Snyk Open Source and Snyk Code are two distinct tools within the Snyk platform, designed to tackle different facets of application security, and understanding their specific roles is crucial for effective vulnerability management.
Let’s see them in action. Imagine you’re building a Node.js application.
First, you’d run Snyk Open Source against your project’s dependencies. This is what it looks like in your terminal:
snyk test --all-projects
This command scans your package.json and package-lock.json (or equivalent for other languages) to identify known vulnerabilities in the libraries you’ve directly or indirectly included. If Snyk finds a vulnerable dependency, say lodash version 4.17.10, it might report a CVE like CVE-2020-8203, which affects that specific version. The output would look something like this:
Testing /path/to/your/project...
┌───────────┬───────────────────────────────────────────────────┐
│ Low │ High │
├───────────┼───────────────────────────────────────────────────┤
│ 1 │ 2 │
└───────────┴───────────────────────────────────────────────────┘
Tested 500 dependencies for known vulnerabilities, found 3 vulnerabilities.
- low severity vulnerabilities: 1
- high severity vulnerabilities: 2
Run "snyk wizard" to navigate and fix these vulnerabilities.
Next steps:
- Run "snyk monitor" to continuously monitor your project for new vulnerabilities.
- Run "snyk code test" to find vulnerabilities in your custom code.
The fix for the lodash vulnerability is straightforward: upgrade to a non-vulnerable version, often suggested by Snyk itself.
snyk wizard
This command can often guide you through automatically upgrading dependencies to the latest secure versions, or at least to versions that patch the specific CVE. The underlying mechanism is Snyk’s vast database of open-source package vulnerabilities, mapping specific package versions to known CVEs. When you update, you’re essentially swapping out a known vulnerable component for a patched one.
Now, let’s say your application has custom code that handles user input, like a web form that processes user-submitted data. This is where Snyk Code comes in. You’d run it like this:
snyk code test --all-files
Snyk Code performs Static Application Security Testing (SAST). It analyzes your actual source code – the JavaScript files you’ve written, not just the node_modules – to find potential security flaws. It looks for patterns that indicate vulnerabilities, such as SQL injection, cross-site scripting (XSS), insecure deserialization, or sensitive data exposure.
The output might highlight a specific line in your server.js file:
[INFO] Analyzing code in /path/to/your/project...
[INFO] Found 2 issues.
[HIGH] SQL Injection
- Path: /path/to/your/project/server.js
- Line: 125
- Message: This query might be vulnerable to SQL injection. User-controlled data is being used directly in a SQL query.
- Confidence: High
- Severity: High
[MEDIUM] Cross Site Scripting (XSS)
- Path: /path/to/your/project/views/userProfile.ejs
- Line: 42
- Message: This script might be vulnerable to XSS. User-controlled data is being rendered directly into HTML.
- Confidence: Medium
- Severity: Medium
The fix involves sanitizing or parameterizing the user input before it’s used in the query or rendered in HTML. For the SQL injection, you’d rewrite the query to use parameterized statements, like with pg or mysql libraries:
// Instead of:
// const query = `SELECT * FROM users WHERE username = '${userInput}'`;
// Use parameterized queries:
const query = 'SELECT * FROM users WHERE username = $1';
const values = [userInput];
client.query(query, values, (err, res) => { ... });
For XSS, you’d implement output encoding for the data being rendered:
<!-- Instead of: -->
<!-- <%= userData.bio %> -->
<!-- Use output encoding (often handled by template engines like EJS by default if configured correctly, or explicitly): -->
<%- encodeHTML(userData.bio) %>
Snyk Code doesn’t rely on a database of known vulnerable versions of code. Instead, it uses sophisticated pattern matching and data flow analysis to detect insecure coding practices within your custom code. It builds a mental model of how data flows through your application, identifying potential points where untrusted input could lead to a security compromise. The "confidence" and "severity" ratings are based on how likely the detected pattern is to be a true vulnerability and its potential impact.
One thing many developers don’t realize is that Snyk Code’s analysis is highly configurable. You can fine-tune the rulesets it uses, enabling or disabling specific vulnerability types, and even provide custom rules for your organization’s unique security requirements. This allows you to tailor the SAST process to your specific tech stack and risk appetite, moving beyond generic vulnerability detection to address context-specific security concerns within your codebase.
While Snyk Open Source protects you from the risks introduced by third-party libraries, Snyk Code is your shield against flaws in your own application logic.
The next logical step after addressing these issues is to integrate these checks into your CI/CD pipeline.