HackSkills is an organized knowledge base of installable skills that gives AI agents practical security knowledge across areas such as web security, privilege escalation, reverse engineering, and digital forensics. It is intended for bug bounty work, penetration testing, CTF competitions, and authorized security research. The catalogue entries are the project's own master, category, and topic skills.
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.
npx agentmods add skills/yaklang/hack-skills/ssrf-server-side-request-forgerynpx skills add yaklang/hack-skills --skill ssrf-server-side-request-forgerygit clone --depth 1 https://github.com/yaklang/hack-skillsWrote 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.
[](https://agentmods.dev/skills/yaklang/hack-skills/ssrf-server-side-request-forgery)<a href="https://agentmods.dev/skills/yaklang/hack-skills/ssrf-server-side-request-forgery"><img src="https://agentmods.dev/badge/skills/yaklang/hack-skills/ssrf-server-side-request-forgery.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.03566 |
| Opus 5 | $0.00023 | $0.01783 |
| Sonnet 5 | $0.00009 | $0.00713 |
| Haiku 4.5 | $0.00005 | $0.00357 |
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 2d 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 Copies of this mod
3 near-identical copies found in the catalogue:
- ssrf-server-side-request-forgery — 100% identical, 4 lines differ
- ssrf-server-side-request-forgery — 100% identical, 0 lines differ
- ssrf-server-side-request-forgery — 91% identical, 4 lines differ
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+operatorparameter +%0D%0ACRLF 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.usservice - 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/
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.
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.
- 2d ago First seen · 324 lines · 45 tokens per session scan E c3502de5ddbe
ssrf-server-side-request-forgery is a skill published in the GitHub repository yaklang/hack-skills (2,098 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 3,566 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it E with 3 findings (reaches for credential files, cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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