ssrf-server-side-request-forgery

ssrf-server-side-request-forgery is a skill for Claude Code, Codex from SecurityTalent/bugskill-ai. It costs 45 tokens per session (3,566 once invoked), scanned E, a copy of ssrf-server-side-request-forgery, MIT.

A security-testing guide for server-side request forgery (SSRF), a flaw where a server can be tricked into sending requests to unintended systems, such as internal networks or cloud services.

In plain words
What is it for?
Use it to test URL importers, webhooks, PDF or screenshot generators, and other server features that fetch remote content.
Why use it?
It helps identify unsafe URL fetching and hostname resolution, including cases where simple URL filters can be bypassed. It also explains how SSRF can connect to other internal services.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to test URL importers, webhooks, PDF or screenshot generators, and other server features that fetch remote content.

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Install with agentmods
npx agentmods add skills/securitytalent/bugskill-ai/ssrf-server-side-request-forgery
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add SecurityTalent/bugskill-ai --skill ssrf-server-side-request-forgery
Clone the repo
git clone --depth 1 https://github.com/SecurityTalent/bugskill-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ssrf-server-side-request-forgery

README.md
[![agentmods](https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/ssrf-server-side-request-forgery/github.svg)](https://agentmods.dev/skills/securitytalent/bugskill-ai/ssrf-server-side-request-forgery)
Your own site
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/ssrf-server-side-request-forgery"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/ssrf-server-side-request-forgery/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ssrf-server-side-request-forgery

Your own site · 80×15
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/ssrf-server-side-request-forgery"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/ssrf-server-side-request-forgery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,566 The whole file, excluding the scripts and references it only reads on demand.
Security scan E 3 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.03566
Opus 5.5 $0.00018 $0.01426
Sonnet 5.5 $0.00009 $0.00713
Haiku 4.5 $0.00005 $0.00357

Measured 1mo ago against content hash 6fd15a676c4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade E, and why

ssrf-server-side-request-forgery scanned grade E with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

{"Image":"alpine","Cmd":["cat","/etc/shadow"],"HostConfig":{"Binds":["/:/host"]}}

Cloud metadata endpointhighServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

> **AI LOAD INSTRUCTION**: Expert SSRF techniques. Covers URL filter bypass, cloud metadata endpoints, protocol exploitation, blind SSRF detection, and chaining to RCE. Base models know basic 169.254.169.254 — this file

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- URL parser differential table: Python urllib vs requests vs Java URL vs PHP parse_url vs Node url.parse vs Go net/url
Origin

This is a copy

100% identical to ssrf-server-side-request-forgery — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

Awesome-Claude-Code-Agent-Skills/02-Web-Application-Security/ssrf-server-side-request-forgery/SKILL.md · 324 lines

How it starts

The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SKILL: Server-Side Request Forgery (SSRF) — Expert Attack Playbook

AI LOAD INSTRUCTION: Expert SSRF techniques. Covers URL filter bypass, cloud metadata endpoints, protocol exploitation, blind SSRF detection, and chaining to RCE. Base models know basic 169.254.169.254 — this file covers what they miss. For real-world CVE chains, DNS Rebinding deep dives, K8s SSRF, and SSRF → Redis → RCE full exploitation, load the companion SCENARIOS.md.

0. QUICK START

Extended Scenarios

Also load SCENARIOS.md when you need:

  • WebLogic SSRF (CVE-2014-4210) — uddiexplorer/SearchPublicRegistries.jsp + operator parameter + %0D%0A CRLF to inject Redis commands
  • SSRF → internal Redis → write crontab reverse shell complete payload chain
  • DNS Rebinding deep dive — TTL=0 trick, initial-legit→second-internal resolution, rbndr.us service
  • Kubernetes SSRF (CVE-2020-8555) and bypass (CVE-2020-8562) via DNS rebinding
  • SSRF through PDF/screenshot generators — <iframe> and <img> in HTML-to-PDF
  • Gopher protocol full TCP injection — Redis, MySQL, FastCGI payloads via Gopherus
  • URL parser confusion for filter bypass — #@, \@, %00@, IPv6-mapped IPv4

Advanced Reference

Also load URL_PARSER_TRICKS.md when you need:

  • URL parser differential table: Python urllib vs requests vs Java URL vs PHP parse_url vs Node url.parse vs Go net/url
  • Full cloud metadata endpoint catalog (AWS IMDSv1/v2, GCP, Azure, DigitalOcean, Alibaba Cloud, Oracle Cloud, Kubernetes, Hetzner, OpenStack)
  • gopher:// payload recipes for Redis, MySQL, SMTP, FastCGI, Memcached (with encoding rules)
  • DNS Rebinding detailed attack flow with TTL manipulation and TOCTOU analysis
  • PDF/wkhtmltopdf/WeasyPrint/Chrome headless/PhantomJS SSRF patterns and exfiltration techniques

If you just found a parameter that fetches a URL, perform first-pass confirmation here directly.

First-pass payloads

http://127.0.0.1/
http://localhost/
http://169.254.169.254/latest/meta-data/
http://[::1]/
http://127.1/

Read the full file on GitHub · 324 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 324 lines · 45 tokens per session scan E 6fd15a676c4c

Subscribe to this mod's changes

ssrf-server-side-request-forgery is a skill published in the GitHub repository SecurityTalent/bugskill-ai (13 stars, last pushed 21d ago), licensed MIT. It adds 45 tokens to every session and 3,566 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it E with 3 findings (reaches for credential files, cloud metadata endpoint, makes network calls). It is 100% identical to ssrf-server-side-request-forgery, differing in 4 lines, and is treated as a copy.

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