detecting-broken-object-property-level-authorization
Helps your agent find API flaws that expose or allow improper modification of data. It protects against access to sensitive information.
What it does
This tool helps find security flaws in APIs. It checks if the API is showing information it shouldn't (like passwords or salaries) or if it allows users to change data they shouldn't have access to, such as changing their own permission level to administrator.
When to use it
- ✓When investigating a security issue in an application.
- ✓When creating tests to ensure an API is secure.
- ✓When you suspect sensitive data is being improperly exposed.
Example of what to ask your AI
“Check if the user API exposes fields like 'salary' or 'password' in responses.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool compares the data the API returns with what is expected. It also tries to send extra or modified data to see if the API accepts improper changes to sensitive fields.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-broken-object-property-level-authorizationOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/detecting-broken-object-property-level-authorization/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Detecting Broken Object Property Level Authorization
Overview
Broken Object Property Level Authorization (BOPLA), classified as API3:2023 in the OWASP API Security Top 10, combines two related vulnerability classes: Excessive Data Exposure (API returning more data than needed) and Mass Assignment (API accepting more data than intended). Even when APIs enforce object-level authorization correctly, they may fail to control which specific properties of an object a user can read or modify. Attackers exploit this by reading sensitive properties from API responses or injecting additional properties into request bodies to modify fields they should not have access to.
When to Use
- When investigating security incidents that require detecting broken object property level authorization
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Target API with endpoints that return or accept object data
- API documentation or schema (OpenAPI spec preferred)
- Burp Suite or Postman for API request manipulation
- Multiple user accounts with different privilege levels
- Python 3.8+ with requests library for automated testing
- Authorization to perform security testing
Vulnerability Patterns
Excessive Data Exposure
The API returns object properties the client does not need:
// GET /api/v1/users/123
// Response includes sensitive fields the UI doesn't display:
{
"id": 123,
"username": "john_doe",
"email": "john@example.com",
"name": "John Doe",
"ssn": "123-45-6789", // Sensitive - not needed by UI
"salary": 95000, // Sensitive - not needed by UI
"internal_notes": "VIP client", // Internal - should not be exposed
"password_hash": "$2b$12...", // Critical - never expose
"role": "admin", // May enable privilege discovery
"created_by": "system_admin", // Internal metadata
"credit_card_last4": "4242" // PCI compliance violation
}
Mass Assignment
The API binds client-supplied data to internal object properties without filtering:
// Normal user update request
PUT /api/v1/users/123
Content-Type: application/json
{
"name": "John Updated",
"email": "new@example.com",
"role": "admin", // Attacker-injected: privilege escalation
"is_verified": true, // Attacker-injected: bypass verification
"discount_rate": 100, // Attacker-injected: business logic abuse
"account_balance": 999999 // Attacker-injected: financial fraud
}
Testing Methodology
#!/usr/bin/env python3
"""BOPLA Vulnerability Scanner
Tests APIs for Broken Object Property Level Authorization
including Excessive Data Exposure and Mass Assignment.
"""
import requests
import json
import sys
from typing import Dict, List, Optional, Set
from dataclasses import dataclass, field
from copy import deepcopy
@dataclass
class BOPLAFinding:
endpoint: str
method: str
vulnerability_type: str # "excessive_exposure" or "mass_assignment"
severity: str
property_name: str
details: str
class BOPLAScanner:
SENSITIVE_PROPERTY_PATTERNS = {
"critical": [
"password", "password_hash", "secret", "token", "api_key",
"private_key", "secret_key", "access_token", "refresh_token",
],
"high": [
"ssn", "social_security", "tax_id", "credit_card", "card_number",
"cvv", "bank_account", "routing_number",
],
"medium": [
"salary", "income", "internal_notes", "admin_notes",
"created_by", "modified_by", "ip_address", "session_id",
"role", "permissions", "is_admin", "is_superuser", "privilege",
],
"low": [
"phone", "address", "date_of_birth", "dob", "age",
"gender", "ethnicity", "religion",
]
}
MASS_ASSIGNMENT_FIELDS = [
("role", "admin"),
("is_admin", True),
("is_verified", True),
("is_active", True),
("email_verified", True),
("account_type", "premium"),
("discount_rate", 100),
("credit_limit", 999999),
("permissions", ["admin", "write", "delete"]),
("account_balance", 999999),
("subscription_tier", "enterprise"),
("rate_limit", 999999),
]
…
FAQ
What is 'Broken Object Property Level Authorization' (BOPLA)?
It's a type of security flaw where the API doesn't correctly control which parts (properties) of an object (like a user or an order) a user can view or modify. This can lead to sensitive data exposure or improper data alteration.
What are the two types of issues this tool detects?
It detects 'Excessive Data Exposure' (the API shows more information than necessary) and 'Mass Assignment' (the API accepts data for fields it shouldn't, allowing improper changes).
Do I need to be an experienced programmer to use this?
Not necessarily. The tool is designed to help identify security issues. However, to set up and run the automated tests, some basic programming knowledge and familiarity with tools like Burp Suite or Postman can be helpful.
Details
Original description by the author
Detect and test for OWASP API3:2023 Broken Object Property Level Authorization (BOPLA), covering excessive data exposure in API responses and mass assignment via injected request-body properties. Use when reviewing API responses/requests for over-exposed or over-writable object fields, or building detection rules and test cases for property-level authorization gaps that object-level checks miss.
Popularity
- GitHub stars
- 35k
- Ranking position
- #5643
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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