Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Conducts security testing of REST, GraphQL, and gRPC APIs to identify vulnerabilities in authentication, authorization, rate limiting, input validation, and business logic. The tester uses the OWASP API Security Top 10 as the testing framework, combining Burp Suite interception with Postman collections and custom scripts to test endpoint security at every privilege level. Activates for requests involving API security testing, REST API pentest, GraphQL security assessment, or API vulnerability testing.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Do not use against APIs without written authorization, for load testing or denial-of-service testing unless explicitly scoped, or for testing production APIs that process real financial transactions without safeguards.
Map the complete API attack surface:
{"query": "{__schema{types{name,fields{name,args{name,type{name}}}}}}"}
/api/v1/, /api/v2/, /api/internal/), debug endpoints (/api/debug, /api/health, /api/metrics), and administrative endpointsTest authentication mechanisms for weaknesses:
alg to none and remove the signaturealg from RS256 to HS256 and sign with the public keyhashcat -m 16500 jwt.txt wordlist.txtTest for Broken Object Level Authorization (BOLA) and Broken Function Level Authorization (BFLA):
GET /api/users/123/orders -> GET /api/users/456/ordersDELETE /api/users/456 (admin-only delete)PUT /api/users/456/role (role modification)GET /api/admin/dashboard (admin panel data)PUT /api/users/123
{"name": "Test", "role": "admin", "isVerified": true, "balance": 99999}
Test API inputs for injection and validation flaws:
{"username": "admin' OR 1=1--", "password": "test"}{"username": {"$gt": ""}, "password": {"$gt": ""}}Check for excessive data exposure in API responses:
/api/users?page=1, page=2, etc.) to extract all records/api/debug, /api/status, /metrics, /health, /.env, /api/swagger.json for exposed internal information| Term | Definition |
|---|---|
| BOLA | Broken Object Level Authorization (OWASP API #1); failure to verify that the requesting user is authorized to access a specific object, enabling IDOR attacks |
| BFLA | Broken Function Level Authorization (OWASP API #5); failure to restrict administrative or privileged API functions from being accessed by lower-privilege users |
| Mass Assignment | A vulnerability where the API binds client-provided data to internal object properties without filtering, allowing attackers to modify fields they should not have access to |
| GraphQL Introspection | A built-in GraphQL feature that exposes the complete API schema including all types, fields, and relationships; should be disabled in production |
| JWT | JSON Web Token; a self-contained token format used for API authentication containing claims signed with a secret or key pair |
| Rate Limiting | Controls that restrict the number of API requests a client can make within a time window, preventing brute force, enumeration, and abuse |
Context: A fintech startup has a mobile banking application with a REST API backend. The API handles account management, fund transfers, bill payments, and transaction history. The tester has Swagger documentation and accounts at user and admin levels.
Approach:
/api/v1/accounts/{accountId}/transactions allowing any authenticated user to view any account's transaction history"dailyTransferLimit": 999999 bypasses the configured transfer limit/api/v1/admin/users is accessible with a standard user token (BFLA)Pitfalls:
## Finding: Broken Object Level Authorization in Transaction History API
**ID**: API-001
**Severity**: Critical (CVSS 9.1)
**Affected Endpoint**: GET /api/v1/accounts/{accountId}/transactions
**OWASP API Category**: API1:2023 - Broken Object Level Authorization
**Description**:
The transaction history endpoint returns all transactions for the specified
account without verifying that the authenticated user owns the account. Any
authenticated user can view the complete transaction history of any account
by substituting the accountId path parameter.
**Proof of Concept**:
1. Authenticate as User A (account ID: ACC-10045)
2. Request: GET /api/v1/accounts/ACC-10046/transactions
Authorization: Bearer <User_A_token>
3. Response: 200 OK with User B's full transaction history
**Impact**:
Any authenticated user can view the complete financial transaction history of
all 45,000 customer accounts, including amounts, dates, recipients, and
transaction descriptions.
**Remediation**:
Implement server-side authorization check that verifies the authenticated user
owns the requested account before returning data:
const account = await Account.findById(accountId);
if (account.userId !== req.user.id) return res.status(403).json({error: "Forbidden"});
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
日本語の概要は準備中です。原文の説明を表示しています。