offensive-ssrf

offensive-ssrf is a skill for Claude Code, Codex from Miosa-osa/OSA. It costs 72 tokens per session (497 once invoked), scanned A, original, Apache-2.0.

A security-testing checklist for server-side request forgery, where a web server is tricked into making requests chosen by an attacker. It includes blind cases, where the response is not returned directly.

In plain words
What is it for?
It is for discovering SSRF, checking cloud metadata access on AWS, Google Cloud, and Azure, and assessing redirects, DNS behavior, and request filters.
Why use it?
It helps find server-side access to internal services and cloud metadata that should not be reachable from the public application. Use it only on systems you are authorized to test.

Skill for Claude CodeCodex

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

Good fit It is for discovering SSRF, checking cloud metadata access on AWS, Google Cloud, and Azure, and assessing redirects, DNS behavior, and request filters.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/miosa-osa/osa/offensive-ssrf
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 Miosa-osa/OSA --skill offensive-ssrf
Clone the repo
git clone --depth 1 https://github.com/Miosa-osa/OSA

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 offensive-ssrf

README.md
[![agentmods](https://agentmods.dev/badge/skills/miosa-osa/osa/offensive-ssrf/github.svg)](https://agentmods.dev/skills/miosa-osa/osa/offensive-ssrf)
Your own site
<a href="https://agentmods.dev/skills/miosa-osa/osa/offensive-ssrf"><img src="https://agentmods.dev/badge/skills/miosa-osa/osa/offensive-ssrf/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 offensive-ssrf

Your own site · 80×15
<a href="https://agentmods.dev/skills/miosa-osa/osa/offensive-ssrf"><img src="https://agentmods.dev/badge/skills/miosa-osa/osa/offensive-ssrf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 497 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00072 $0.00497
Opus 5.5 $0.00029 $0.00199
Sonnet 5.5 $0.00014 $0.00099
Haiku 4.5 $0.00007 $0.00050

Measured 1mo ago against content hash 3fd2b5e53da3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

offensive-ssrf scanned grade A with 0 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

priv/skills/offensive-ssrf/SKILL.md · 50 lines

What it actually says

SKILL: Server-Side Request Forgery (SSRF)

Metadata

Description

Server-Side Request Forgery testing checklist: SSRF discovery, blind SSRF with out-of-band, cloud metadata endpoints (AWS/GCP/Azure), SSRF filter bypass techniques (IP encoding, DNS rebinding, redirect chains), and SSRF to RCE escalation. Use for web app SSRF testing and bug bounty.

Trigger Phrases

Use this skill when the conversation involves any of: SSRF, server-side request forgery, blind SSRF, cloud metadata, AWS metadata, GCP metadata, SSRF bypass, DNS rebinding, redirect chain, SSRF RCE, internal port scan

Methodology references

Read the relevant sections below before following a technique. Read them in order for the complete original methodology. Confirm the target and testing scope with the user before performing any active checks.

Files

What ships with it

3 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 Changed · -812 lines scan D → A 3fd2b5e53da3
  2. 1mo ago First seen · 862 lines · 72 tokens per session scan D d0b199348cce

Subscribe to this mod's changes

offensive-ssrf is a skill published in the GitHub repository Miosa-osa/OSA (78 stars, last pushed 11d ago), licensed Apache-2.0. It adds 72 tokens to every session and 497 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-14.