Semgrep Custom Rule Writing
When to Use
- During a white-box penetration test or source code review when looking for bespoke vulnerabilities that generic SAST tools fail to detect.
- To codify and hunt for organization-specific anti-patterns (e.g., calling an internal API without passing the authentication context).
Prerequisites
- Authorized scope and target URLs from bug bounty program
- Burp Suite Professional (or Community) configured with browser proxy
- Familiarity with OWASP Top 10 and common web vulnerability classes
- SecLists wordlists for fuzzing and enumeration
Workflow
Phase 1: Understanding Semgrep Patterns
# Concept: Semgrep syntax rules:
- id: simple-eval-detection
pattern: eval(...)
message: "Avoid using eval() as it can lead to code injection."
languages: [javascript, python]
severity: ERROR
Phase 2: Utilizing Metavariables
# rules:
- id: python-exec-with-variable
pattern: exec($X)
message: "Using exec() on variable $X is dangerous."
languages: [python]
severity: WARNING
Phase 3: Pattern-Inside and Pattern-Not (Contextual Matching)
# rules:
- id: missing-auth-check-flask
patterns:
- pattern-inside: |
@app.route(...)
def $FUNC(...):
...
- pattern: return $RENDER(...)
- pattern-not-inside: |
@login_required
def $FUNC(...):
...
- pattern-not-inside: |
if current_user.is_authenticated:
...
message: "Flask route missing @login_required or explicit authentication check."
languages: [python]
severity: ERROR
Phase 4: Testing Rules via Semgrep CLI
# # semgrep --config custom-rules.yml src/
Decision Point 🔀
flowchart TD
A[Identify Pattern ] --> B{Write Rule ]}
B -->|Yes| C[Test Rule ]
B -->|No| D[Refine Scope ]
C --> E[Execute Scan ]
🔵 Blue Team Detection & Defense
- CI/CD Integration Pipeline Validation: Centralized Rule Repositories: Developer Education: Key Concepts
Concept Description
Output Format
Semgrep Custom Rule Writing — Assessment Report
============================================================
Target: [Target identifier]
Assessor: [Operator name]
Date: [Assessment date]
Scope: [Authorized scope]
MITRE ATT&CK: [Relevant technique IDs]
Findings Summary:
[Finding 1]: [Severity] — [Brief description]
[Finding 2]: [Severity] — [Brief description]
Detailed Results:
Phase 1: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Phase 2: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Risk Rating: [Critical/High/Medium/Low/Informational]
Recommendations:
1. [Immediate remediation step]
2. [Long-term hardening measure]
3. [Monitoring/detection improvement]
💰 Industry Bounty Payout Statistics (2024-2025)
| Company/Platform | Total Paid | Highest Single | Year |
|---|---|---|---|
| Google VRP | $17.1M | $250,000 (CVE-2025-4609 Chrome sandbox escape) | 2025 |
| Microsoft | $16.6M | (Not disclosed) | 2024 |
| Google VRP | $11.8M | $100,115 (Chrome MiraclePtr Bypass) | 2024 |
| HackerOne (all programs) | $81M | $100,050 (crypto firm) | 2025 |
| Meta/Facebook | $2.3M | up to $300K (mobile code execution) | 2024 |
| Crypto.com (HackerOne) | $2M program | $2M max | 2024 |
| 1Password (Bugcrowd) | $1M max | $1M (highest Bugcrowd ever) | 2024 |
| Samsung | $1M max | $1M (critical mobile flaws) | 2025 |
Key Takeaway: Google alone paid $17.1M in 2025 — a 40% increase YoY. Microsoft paid $16.6M. The industry is paying more, not less. Average critical bounty on HackerOne: $3,700 (2023).
📚 Shared Resources
For cross-cutting methodology applicable to all vulnerability classes, see:
_shared/references/elite-chaining-strategy.md— Exploit chaining methodology and high-payout chain patterns_shared/references/elite-report-writing.md— HackerOne-optimized report writing, CWE quick reference_shared/references/real-world-bounties.md— Verified disclosed bounties by vulnerability class
References
- Semgrep: Writing Rules Documentation
- GitHub Security Lab: Using Semgrep to find vulnerabilities