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。
Discovering and accessing unprotected pages, APIs, and administrative interfaces by enumerating URLs and bypassing authentication controls during authorized security assessments.
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。
go install github.com/ffuf/ffuf/v2@latest)apt install gobuster)git clone https://github.com/danielmiessler/SecLists.git)Use ffuf or Gobuster to discover paths not linked in the application's navigation.
# Directory enumeration with ffuf
ffuf -u https://target.example.com/FUZZ \
-w /usr/share/seclists/Discovery/Web-Content/raft-medium-directories.txt \
-mc 200,301,302,403 \
-fc 404 \
-o results-dirs.json -of json \
-t 50 -rate 100
# File enumeration with common extensions
ffuf -u https://target.example.com/FUZZ \
-w /usr/share/seclists/Discovery/Web-Content/raft-medium-files.txt \
-e .php,.asp,.aspx,.jsp,.html,.js,.json,.xml,.bak,.old,.txt,.cfg,.conf,.env \
-mc 200,301,302,403 \
-fc 404 \
-o results-files.json -of json \
-t 50 -rate 100
# Gobuster for directory enumeration
gobuster dir -u https://target.example.com \
-w /usr/share/seclists/Discovery/Web-Content/directory-list-2.3-medium.txt \
-s "200,204,301,302,307,403" \
-x php,asp,aspx,jsp,html \
-o gobuster-results.txt \
-t 50
Target common administrative paths and debug endpoints.
# Admin panel enumeration
ffuf -u https://target.example.com/FUZZ \
-w /usr/share/seclists/Discovery/Web-Content/common.txt \
-mc 200,301,302 \
-t 50 -rate 100
# Common admin paths to check manually:
# /admin, /administrator, /admin-panel, /wp-admin
# /cpanel, /phpmyadmin, /adminer, /manager
# /console, /debug, /actuator, /swagger-ui
# /graphql, /graphiql, /.env, /server-status
# API endpoint discovery
ffuf -u https://target.example.com/api/FUZZ \
-w /usr/share/seclists/Discovery/Web-Content/api/api-endpoints.txt \
-mc 200,201,204,301,302,401,403 \
-fc 404 \
-o api-results.json -of json
# Check for Spring Boot Actuator endpoints
for endpoint in env health info beans configprops mappings trace; do
curl -s -o /dev/null -w "%{http_code} /actuator/$endpoint\n" \
"https://target.example.com/actuator/$endpoint"
done
Compare responses between unauthenticated and authenticated requests.
# Test without authentication
curl -s -o /dev/null -w "%{http_code}" \
"https://target.example.com/admin/dashboard"
# Test with valid session cookie
curl -s -o /dev/null -w "%{http_code}" \
-b "session=valid_session_token_here" \
"https://target.example.com/admin/dashboard"
# Automated check: compare response sizes
# Unauthenticated request
curl -s "https://target.example.com/admin/users" | wc -c
# Authenticated request
curl -s -b "session=valid_token" \
"https://target.example.com/admin/users" | wc -c
# If both return similar content, authentication is not enforced
# Test with Burp Intruder: send a list of discovered URLs
# without cookies and flag any 200 responses
Some applications only enforce authentication for specific HTTP methods.
# Test different HTTP methods on protected endpoints
for method in GET POST PUT DELETE PATCH OPTIONS HEAD TRACE; do
echo -n "$method: "
curl -s -o /dev/null -w "%{http_code}" \
-X "$method" "https://target.example.com/admin/settings"
done
# Test HTTP method override headers
curl -s -o /dev/null -w "%{http_code}" \
-X POST \
-H "X-HTTP-Method-Override: GET" \
"https://target.example.com/admin/settings"
curl -s -o /dev/null -w "%{http_code}" \
-H "X-Original-Method: GET" \
-H "X-Rewrite-URL: /admin/settings" \
"https://target.example.com/"
Exploit URL parsing differences to bypass path-based authentication rules.
# Path normalization bypass attempts
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/admin/dashboard"
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/ADMIN/dashboard"
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/admin/./dashboard"
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/public/../admin/dashboard"
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/admin%2fdashboard"
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/;/admin/dashboard"
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/admin;anything/dashboard"
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/.;/admin/dashboard"
# Double URL encoding
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/%2561dmin/dashboard"
# Trailing characters
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/admin/dashboard/"
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/admin/dashboard.json"
curl -s -o /dev/null -w "%{http_code}" "https://target.example.com/admin/dashboard%00"
Search for sensitive files inadvertently exposed on the web server.
# Backup file discovery
ffuf -u https://target.example.com/FUZZ \
-w /usr/share/seclists/Discovery/Web-Content/raft-medium-files.txt \
-e .bak,.old,.orig,.save,.swp,.tmp,.dist,.config,.sql,.gz,.tar,.zip \
-mc 200 -t 50 -rate 100
# Common sensitive files
for file in .env .git/config .git/HEAD .svn/entries \
web.config wp-config.php.bak config.php.old \
database.yml .htpasswd server-status phpinfo.php \
robots.txt sitemap.xml crossdomain.xml; do
status=$(curl -s -o /dev/null -w "%{http_code}" \
"https://target.example.com/$file")
if [ "$status" != "404" ]; then
echo "FOUND ($status): $file"
fi
done
# Git repository exposure check
curl -s "https://target.example.com/.git/HEAD"
# If this returns "ref: refs/heads/main", the git repo is exposed
| Concept | Description |
|---|---|
| Forced Browsing | Directly accessing URLs that are not linked but exist on the server |
| Directory Enumeration | Brute-forcing directory and file names against a wordlist to discover hidden content |
| Authentication Bypass | Accessing protected resources without valid credentials due to missing access checks |
| Path Normalization | Exploiting differences in how web servers and application frameworks parse URL paths |
| Method-based Bypass | Using alternative HTTP methods (PUT, DELETE) that may not have authentication checks |
| Information Disclosure | Exposure of sensitive configuration files, backups, or debug interfaces |
| Defense in Depth | Layered security controls where authentication is enforced at multiple levels |
| Tool | Purpose |
|---|---|
| ffuf | Fast web fuzzer for directory, file, and parameter enumeration |
| Gobuster | Directory and DNS brute-forcing tool written in Go |
| Feroxbuster | Recursive content discovery tool with automatic recursion |
| DirBuster | OWASP Java-based directory brute-force tool with GUI |
| Burp Suite | HTTP proxy for request interception and automated scanning |
| SecLists | Comprehensive collection of wordlists for security testing |
An admin panel at /admin/ is only hidden by not being linked in the navigation. Direct URL access reveals the full administrative interface without any authentication check.
API endpoints at /api/v1/users and /api/v1/settings require authentication in the frontend application but the backend API does not enforce session validation, allowing unauthenticated direct access.
A developer left config.php.bak on the production server. This backup file contains database credentials in plaintext, discovered through extension-based enumeration.
The /actuator/env endpoint is exposed without authentication, revealing environment variables including database connection strings, API keys, and secrets.
## Forced Browsing / Authentication Bypass Finding
**Vulnerability**: Missing Authentication on Administrative Interface
**Severity**: Critical (CVSS 9.1)
**Location**: /admin/dashboard (GET, no authentication required)
**OWASP Category**: A01:2021 - Broken Access Control
### Discovered Unprotected Resources
| Path | Status | Auth Required | Content |
|------|--------|---------------|---------|
| /admin/dashboard | 200 | No | Full admin panel |
| /admin/users | 200 | No | User management |
| /actuator/env | 200 | No | Environment variables |
| /config.php.bak | 200 | No | Database credentials |
| /.git/HEAD | 200 | No | Git repository metadata |
### Impact
- Unauthenticated access to administrative functions
- Ability to create, modify, and delete user accounts
- Exposure of database credentials and API keys
- Full source code disclosure via exposed Git repository
### Recommendation
1. Implement authentication checks at the server/middleware level for all admin routes
2. Remove backup files, debug endpoints, and version control metadata from production
3. Configure web server to deny access to sensitive file extensions (.bak, .old, .env, .git)
4. Implement IP-based access restrictions for administrative interfaces
5. Use a reverse proxy to restrict access to internal-only endpoints
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。