source-code-scanning（源代码扫描）

Source Code Security Review

Quick Start

1. Identify - languages, frameworks, package managers present
2. Automated SAST - run tools appropriate to the stack
3. Dependency CVEs - scan lockfiles/manifests for known CVEs
4. Secrets scan - detect hardcoded credentials/tokens
5. Manual review - trace high-risk sinks (exec, eval, query, deserialize)
6. Malicious code - check for backdoors, obfuscation, suspicious network calls
7. Report - findings with CWE/CVE refs, severity, PoC, remediation

Workflow

Phase 1: Enumerate

- Languages: ls **/*.{py,js,ts,java,go,rb,php,cs,rs}
- Packages: find package.json, requirements.txt, go.mod, pom.xml, Gemfile, composer.json, Cargo.toml
- Entry points: main(), index.*, app.*, server.*
- Config files: .env*, config.*, settings.*, *.yaml, *.toml

Phase 2: Automated SAST

See sast-tools.md for commands per language.

Key tools:

• Multi-language: Semgrep (semgrep --config=auto.)
• Python: Bandit (bandit -r. -f json)
• JavaScript/TS: ESLint security plugin, njsscan
• Java: SpotBugs + FindSecBugs
• Go: gosec (gosec./...)
• PHP: PHPCS Security Audit
• Ruby: Brakeman (brakeman -o report.json)
• All: CodeQL (via gh codeql)

Phase 3: Dependency CVE Scan

See dependency-cve-scanning.md for commands.

Phase 4: Secrets Detection

See secrets-detection.md.

trufflehog filesystem . --json
gitleaks detect --source . -v

Phase 5: Manual Review

Focus on high-risk sinks — see manual-review.md:

• Injection sinks: exec, eval, query, system, popen
• Deserialization: pickle.loads, ObjectInputStream, unserialize
• Crypto: hardcoded keys, weak algorithms (MD5, SHA1, DES, ECB)
• Auth: JWT validation, session management, RBAC enforcement
• File ops: path construction with user input

Phase 6: Malicious Code

See malicious-code.md:

• Obfuscated strings (base64, hex, charCode)
• Unexpected network calls in library code
• Typosquatting indicators
• Postinstall/lifecycle script abuse
• Hidden backdoors in dependencies

Language-Specific Patterns

See language-patterns.md for Python, JS, Java, Go, PHP, Ruby.

Severity Mapping

Output Format

findings/
  <severity>-<vuln-type>-<location>.md   # One file per finding
evidence/
  <tool>-output.json                      # Raw tool output
summary-report.md                         # Executive summary

Each finding: CWE/CVE ID | File:Line | Severity | PoC | Remediation

Mobile App Analysis (APK/IPA)

When given a mobile app binary:

1. Extract: unzip app.apk -d extracted/ (APKs are ZIP archives)
2. Identify framework: React Native (assets/index.android.bundle), Flutter (libflutter.so), Xamarin, or native
3. React Native: JS bundle is plaintext — search for secrets, API keys, config objects, hardcoded tokens
4. Encoded secrets: Search for base64 prefixes of known flag/secret formats (e.g., SFRC = base64 of HTB). Config objects often store secrets as base64 in debug, secret, apiKey fields
5. Native: Use jadx for Java/Kotlin decompilation, check AndroidManifest.xml, strings.xml, BuildConfig
6. Shared libs: Check .so files with strings for hardcoded credentials

Critical Rules

• Never execute untrusted code during review
• Treat all findings as potential until verified
• Always cross-reference CVEs against actual version in use
• Report supply chain issues separately (they affect all users)