What problem does it solve?
SSRF vulnerabilities allow attackers to trick servers into making unauthorized outbound network requests, enabling access to internal services, cloud metadata endpoints, and sensitive infrastructure that is not exposed externally. This Skill eliminates the guesswork of identifying and validating SSRF flaws, which are high-severity risks often missed during standard reconnaissance.
Core Features & Use Cases
- OOB-Validated Detection: Mandatory out-of-band confirmation workflow eliminates false positives from URL echo bugs and parser-only validation, ensuring only confirmed SSRF flaws are reported.
- Cloud Metadata Exploitation: Built-in payloads and methodology for extracting AWS IMDS, GCP, and Azure metadata credentials, the highest-impact SSRF attack path.
- Internal Network Enumeration: Guidance for scanning internal ports, enumerating Kubernetes clusters, and accessing unauthenticated internal services like Redis and Elasticsearch via SSRF.
- Filter Bypass Techniques: 11+ proven bypass methods for IP blocklists, schema restrictions, and redirect validators, including DNS rebinding, IP encoding, and protocol confusion.
- Real-World Impact Context: Field-validated examples from 15 public bug bounty reports with payouts up to $25,000, including headless browser SSRF, gopher-to-Redis RCE chains, and link-preview SSRF.
Use Case: For a cloud-hosted SaaS with a link preview feature, use this Skill to confirm SSRF via out-of-band callback, then extract AWS IAM credentials from the metadata endpoint to assess full account compromise risk.
Quick Start
Use the hunt-ssrf skill to test the target's link preview endpoint for SSRF by sending an out-of-band callback URL and confirming the server makes an unauthorized outbound request to internal cloud metadata services.