用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/CyberStrikeus/CyberStrike --skill wstg-apit-01命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
macOS post-exploitation for credential harvesting, DTrace monitoring, TCC bypass, and stealth operations via native tools
Windows userland post-exploitation for credential harvesting, monitoring, AMSI/ETW bypass, and stealth operations
Kubernetes post-exploitation for container escape, secret extraction, RBAC abuse, and cluster persistence
基于 SOC 职业分类
| name | wstg-apit-01 |
| description | API Reconnaissance |
| category | api-testing |
| owasp_id | WSTG-APIT-01 |
| version | 1.0.0 |
| author | cyberstrike-official |
| tags | ["api","rest","graphql","soap","wstg","apit"] |
| tech_stack | ["rest","graphql","soap","grpc"] |
| cwe_ids | ["CWE-200"] |
| chains_with | [] |
| prerequisites | [] |
| severity_boost | {} |
WSTG-APIT-01
API Reconnaissance
API reconnaissance involves discovering and documenting all available API endpoints, understanding their functionality, and identifying potential attack surfaces. This includes finding undocumented endpoints, deprecated versions, and understanding the API structure.
#!/bin/bash
TARGET="target.com"
# Common API documentation paths
docs=(
"/swagger.json"
"/swagger/v1/swagger.json"
"/api-docs"
"/api/docs"
"/openapi.json"
"/openapi/v3/api-docs"
"/.well-known/openapi.json"
"/api/swagger"
"/docs/api"
"/redoc"
"/graphql"
)
for doc in "${docs[@]}"; do
status=$(curl -s -o /dev/null -w "%{http_code}" "https://$TARGET$doc")
if [ "$status" != "404" ]; then
echo
#!/bin/bash
TARGET="https://target.com/api"
# Fuzz for endpoints
ffuf -u "$TARGET/FUZZ" \
-w /usr/share/wordlists/seclists/Discovery/Web-Content/api/api-endpoints.txt \
-mc 200,201,204,301,302,401,403 \
-o api-endpoints.json
# Version enumeration
for v in v1 v2 v3 v4; do
status=$(curl -s -o /dev/null -w "%{http_code}" "$TARGET/$v/users")
echo "/api/$v/users: $status"
done
# Extract parameters from JS files
curl -s "https://target.com/main.js" | grep -oP '["'"'"'][a-zA-Z_]+["'"'"']\s*:' | sort -u
# Extract API endpoints from JS
curl -s "https://target.com/main.js" | grep -oP '/api/[a-zA-Z0-9/_-]+' | sort -u
#!/usr/bin/env python3
import requests
import re
import json
class APIRecon:
def __init__(self, base_url):
self.base_url = base_url.rstrip('/')
self.session = requests.Session()
self.endpoints = set()
self.findings = []
def find_documentation(self):
"""Find API documentation"""
print("[*] Looking for API documentation...")
doc_paths = [
"/swagger.json", "/swagger/v1/swagger.json",
"/openapi.json", "/api-docs", "/api/swagger.json",
"/v2/api-docs", "/v3/api-docs"
]
for path in doc_paths:
try:
response = self.session.get(f"{self.base_url}{path}", timeout=5)
if response.status_code == 200:
print(f"[FOUND] {path}")
try:
doc = response.json()
self._extract_from_swagger(doc)
except:
pass
except:
pass
def _extract_from_swagger(self, doc):
"""Extract endpoints from Swagger/OpenAPI doc"""
paths = doc.get('paths', {})
for path, methods in paths.items():
for method in methods.keys():
if method in ['get', 'post', 'put', 'delete', 'patch']:
self.endpoints.add((method.upper(), path))
print(f" {method.upper()} {path}")
def enumerate_versions(self):
"""Find API versions"""
print("\n[*] Enumerating API versions...")
versions = ['v1', 'v2', 'v3', 'v4', 'v1.0', 'v2.0', 'api/v1', 'api/v2']
test_endpoints = ['/users', '/health', '/status', '/info']
for version in versions:
for endpoint in test_endpoints:
url = f"{self.base_url}/{version}{endpoint}"
try:
response = self.session.get(url, timeout=3)
if response.status_code not in [404]:
print(f"[FOUND] {url}: {response.status_code}")
except:
pass
def analyze_responses(self, endpoints):
"""Analyze API responses for information"""
print("\n[*] Analyzing API responses...")
for method, path in endpoints:
url = f"{self.base_url}{path}"
try:
if method == 'GET':
response = self.session.get(url, timeout=5)
else:
response = self.session.request(method, url, json={}, timeout=5)
# Check response headers
server = response.headers.get('Server', 'Unknown')
content_type = response.headers.get('Content-Type', 'Unknown')
print(f"\n{method} {path}")
print(f" Status: {response.status_code}")
print(f" Server: {server}")
# Check for sensitive info in error messages
if response.status_code >= 400:
self._check_error_disclosure(response.text)
except Exception as e:
pass
def _check_error_disclosure(self, response_text):
"""Check for information disclosure in errors"""
sensitive_patterns = [
r'stack trace', r'exception', r'sql', r'database',
r'internal server', r'debug'
]
for pattern in sensitive_patterns:
if re.search(pattern, response_text, re.I):
print(f" [WARN] Potential info disclosure: {pattern}")
def generate_report(self):
"""Generate recon report"""
print("\n" + "="*50)
print("API RECONNAISSANCE REPORT")
print("="*50)
print(f"\nEndpoints discovered: {len(self.endpoints)}")
for method, path in sorted(self.endpoints):
print(f" {method} {path}")
# Usage
recon = APIRecon("https://target.com")
recon.find_documentation()
recon.enumerate_versions()
recon.analyze_responses([('GET', '/api/users'), ('GET', '/api/status')])
recon.generate_report()
| Tool | Description |
|---|---|
| ffuf | API endpoint fuzzing |
| Arjun | Parameter discovery |
| Kiterunner | API endpoint discovery |
| Postman | API documentation |
[ ] API documentation found
[ ] Endpoints enumerated
[ ] Versions discovered
[ ] Parameters identified
[ ] Authentication analyzed
[ ] Findings documented