Agent skill

Hunting Web Backdoors

by trilwu in trilwu/secskills

Hunt planted webshells and backdoors across a web source tree — PHP first (also JSP, ASP, Node) — triaging a directory at scale, statically decoding obfuscation layers without ever executing the…

MITAuto-check passed

Install Hunting Web Backdoors

skills CLI
$ npx skills add trilwu/secskills --skill hunting-web-backdoors -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install trilwu/secskills hunting-web-backdoors --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/trilwu/secskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/secskills-core/skills/hunting-web-backdoors .claude/skills/hunting-web-backdoors && rm -rf skills-src

Use ~/.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/

Facts

Skill name
hunting-web-backdoors
GitHub stars
157
Token cost
~3k tokens
SKILL.md length
1,352 words
Files
1
Skills in repo
50
Repo updated
First seen
Licence
MIT

At a glance

Hunt planted webshells and backdoors across a web source tree — PHP first (also JSP, ASP, Node) — triaging a directory at scale, statically decoding obfuscation layers without ever executing the…

  • Works in 3 steps: Preserve before you delete. A confirmed… → Find the entry point. A shell got there… → Keep hunting. One shell found is a…
  • A web server is suspected compromised
  • SKILL.md covers When to Use, When NOT to Use, Never Execute to Deobfuscate and Triage a Directory at Scale, plus 8 more sections
  • Calls git and curl; reaches defuddle.md

What it does

Hunting Web Backdoors is an agent skill from trilwu/secskills. Hunt planted webshells and backdoors across a web source tree — PHP first (also JSP, ASP, Node) — triaging a directory at scale, statically decoding obfuscation layers without ever executing the payload, finding append-infections and fake plugins, and treating known shell families as leads rather than verdicts. Use when a web server is suspected compromised, cleaning a hacked WordPress/Magento/CMS site, vetting a downloaded PHP codebase or plugin for hidden malicious code, or when a file contains eval on decoded…

Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with PHP, Adobe Commerce and WordPress. The repository describes itself as: Transform Claude Code into your personal security engineer. The licence is MIT.

When your agent uses it

  • A web server is suspected compromised
  • Cleaning a hacked WordPress/Magento/CMS site
  • Vetting a downloaded PHP codebase
  • Plugin for hidden malicious code

Example prompts

  • “/hunting-web-backdoors”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Preserve before you delete. A confirmed shell is evidence — copy it
  2. Find the entry point. A shell got there somehow — a vulnerable upload,
  3. Keep hunting. One shell found is a reason to raise suspicion of the

What it can do on your machine

Read from SKILL.md and the folder at commit ca53957. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • defuddle.md

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hunting Web Backdoors loads about 3k tokens when it runs. Until then it costs about 137 tokens; SKILL.md has 1,352 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~137
When it runs · the whole SKILL.md, loaded when a task matches
~3k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from trilwu/secskills at commit ca53957, republished under its MIT licence (© trilwu). 1,352 words, ~2,954 tokens.

Download SKILL.mdSave it as .claude/skills/hunting-web-backdoors/SKILL.md (or your agent's skills folder).
name
hunting-web-backdoors
description
Hunt planted webshells and backdoors across a web source tree — PHP first (also JSP, ASP, Node) — triaging a directory at scale, statically decoding obfuscation layers without ever executing the payload, finding append-infections and fake plugins, and treating known shell families as leads rather than verdicts. Use when a web server is suspected compromised, cleaning a hacked WordPress/Magento/CMS site, vetting a downloaded PHP codebase or plugin for hidden malicious code, or when a file contains eval on decoded input.
verified
2026-07-27

Hunting Web Backdoors

This is not a vulnerability audit. You are looking for code an attacker already planted — a webshell, a one-line eval backdoor, a fake plugin, a malicious line appended to a legitimate file. The weakness that let them in is auditing-php-applications' job; this skill finds what they left behind.

Two things make it hard. The malicious code is deliberately hidden — obfuscated, split, or buried in a tree of thousands of legitimate files — so a naive grep misses it. And the tells (eval, base64_decode, dynamic calls) appear in plenty of benign code, so a naive grep also drowns you in false positives. The work is the discrimination.

When to Use

  • A web server is suspected or confirmed compromised and you need every shell
  • Cleaning a hacked WordPress, Magento, Joomla, or custom PHP site
  • Vetting a downloaded plugin, theme, or codebase before deploying it
  • A file contains eval, assert, or system on decoded or request-derived input
  • Triaging a web root full of unfamiliar PHP for planted malice

When NOT to Use

  • Finding the vulnerability that allowed the upload — use auditing-php-applications
  • Deep single-sample analysis (a specific shell you want to fully reverse, its C2, its capabilities) — use analyzing-malware
  • The broader incident (scoping, timeline, containment) — use responding-to-incidents; this skill is the source-tree sweep within it
  • Malicious dependencies / package install scripts — use auditing-supply-chain
  • Host-level persistence (cron, systemd, LD_PRELOAD) — use analyzing-linux-persistence

Never Execute to Deobfuscate

The single rule that must not bend: the obfuscated code is the payload. Do not run it, do not "just let PHP decode it," do not replace eval( with echo( and execute the file, do not paste it into an online sandbox that runs it. Deobfuscation is a static transformation:

  • Decode the layers by hand or with a decode-only tool (base64_decode, gzinflate, gzuncompress, str_rot13, hex/\xNN, strrev) applied as string operations, not as executed PHP.
  • If you must automate, use a de-obfuscator that decodes without executing (UnPHP's decoder, a Python reimplementation of the decode chain) — never the PHP interpreter on the sample.
  • Replacing the final eval( with file_put_contents('out.php', ...) and running it is executing the payload if any prior layer has side effects. Decode statically, then read.

"Most webshells are three or four layers of encoding around ten lines of logic" — peel to the logic, do not detonate the wrapper.

Triage a Directory at Scale

You cannot read every file. Rank candidates by cheap signals, then read the top of the list:

bash
# 1. PHP where PHP should not be — uploads, cache, images, media dirs
find wp-content/uploads -name '*.php' -o -name '*.php[0-9]' -o -name '*.phtml' 2>/dev/null

# 2. Recently modified, clustered in time (attackers touch many files at once)
find . -name '*.php' -newermt '2026-07-01' -printf '%T+ %p\n' | sort

# 3. High entropy / long single lines — the shape of packed obfuscation
find . -name '*.php' -exec awk 'length>1000{print FILENAME": "length; nextfile}' {} \;

# 4. The dangerous-sink grep — leads, NOT verdicts (see the FP problem below)
grep -rnE '\b(eval|assert|system|passthru|shell_exec|proc_open|popen|create_function)\s*\(' --include='*.php' .
grep -rnE '(base64_decode|gzinflate|gzuncompress|str_rot13|hex2bin)\s*\(' --include='*.php' .

# 5. Request-driven code execution — the webshell core
grep -rnE '\$_(GET|POST|REQUEST|COOKIE|SERVER)\s*\[[^]]*\]\s*\(' --include='*.php' .
grep -rnE '(eval|assert|system|passthru)\s*\(\s*\$_(GET|POST|REQUEST|COOKIE)' --include='*.php' .

The most reliable single lead is variable execution of request data — $_POST['x'](), ev[a]l($_GET[...]), ass[e]rt($_REQUEST[...]), call_user_func($_GET['f'], ...). Legitimate code almost never dispatches a function name straight from a superglobal.

The Grep Is Not Clean Just Because It Is Empty

A source tree that returns nothing for grep eval can still be backdoored. Attackers defeat the obvious grep deliberately:

  • Concatenation: $a='ev'.'al'; $a($code); or ('e'.'v'.'a'.'l')(...).
  • Variable variables / indirection: $f='system'; $f($_GET['c']);, ${'_'.'GET'}, $$x.
  • Char/hex/octal escapes: "\x65\x76\x61\x6c" is eval; chr(101).chr(118)....
  • Callback sinks: array_map, array_filter, usort, preg_replace_callback, register_shutdown_function, ob_start with a user-controlled callback.
  • String-eval that is not eval: assert($str) (pre-8.0), preg_replace('/./e', $str, ...) (pre-7.0), create_function('', $str) (pre-8.0), mb_ereg_replace with e.
  • Comment and whitespace insertion between token pieces to break naive regex.

So grep is a lead generator, not a coverage guarantee. When grep is empty and you still suspect infection, fall back to: entropy/long-line ranking, mtime clustering, and diffing against a known-good copy (below).

Append-Infections Are the Ones You Miss

The hardest infection is a backdoor appended to or inserted into a legitimate file — index.php, wp-config.php, a theme's functions.php, vendor/ autoloaders. The file is 99% real, so it does not stand out by name, location, or entropy overall. Find these by comparison, not by inspection:

bash
# Diff the tree against a pristine copy of the same CMS/plugin version
# (download the exact version from wordpress.org / the vendor)
diff -rq ./site /known-good/wordpress-6.x/

# WordPress core/plugin integrity via checksums
wp core verify-checksums; wp plugin verify-checksums --all

# git/composer/npm: what changed vs the committed/locked state
git status --porcelain; git diff

If you have no known-good baseline, the tells are: code after the closing ?> of an otherwise-normal file, a lone eval/base64_decode line wedged at the top of a config file, or a <?php ... ?> block whose style clashes with the surrounding file.

Version-Gated Tells Date the Code

The presence of a removed language feature tells you something:

  • preg_replace with the /e modifier — removed in PHP 7.0. Its presence means the backdoor targets (or predates) PHP 5.x.
  • create_function() and string-argument assert() as code execution — removed in PHP 8.0. Common in older shells; on a PHP 8 server they would fault, which is itself a signal about when the code was planted.

Known Families Are Leads, Not Verdicts

Fingerprints speed triage but do not replace reading the code:

IOC strings in this section are bracket-broken — ev[a]l is eval, ass[e]rt is assert. Written literally they match Backdoor:PHP/Chopper and this file, a defensive hunting skill, gets quarantined on download. The grep patterns above are intact and safe to copy. See "Antivirus false positives" in the repo README.

  • China Chopper — a one-liner: <?php @ev[a]l($_POST['pass']);?> (or assert), often under 30 bytes. Tiny, so easy to miss and easy to append.
  • WSO, b374k, c99, r57, indoxploit — full-featured panels; grep their banner strings, characteristic function names, or auth-cookie names as leads.
  • Weevely — generates obfuscated, password-gated shells that change per build; signature matching is weak, so rely on the request-driven-execution and obfuscation signals instead.

A signature hit confirms a shell. It does not confirm you found them all — attackers plant several, and the second one rarely matches the first's family.

Show full SKILL.md (495 more words)Show less

When You Confirm One, Assume More

  1. Preserve before you delete. A confirmed shell is evidence — copy it (hash it) to a holding location before removing it, per responding-to-incidents. Deletion alone loses the timeline and, if you miss the entry point, the attacker re-plants within hours.
  2. Find the entry point. A shell got there somehow — a vulnerable upload, a known-CVE plugin, stolen credentials. Hand that to auditing-php-applications (source) or responding-to-incidents (logs); a cleaned site with the hole still open is re-infected by morning.
  3. Keep hunting. One shell found is a reason to raise suspicion of the whole tree, not to close the case. Re-run the sweep after removing the obvious one.

Rationalizations to Reject

  • "grep for eval came back clean, so the tree is clean." Concatenation, hex escapes, and callback sinks all evade it. Empty grep is not coverage — fall back to entropy, mtime, and diff-against-known-good.
  • "I'll just run it to see what it decodes to." That is executing the payload. Decode statically, always.
  • "It uses eval, so it's a backdoor." Templating engines, caches, and frameworks use eval legitimately. The tell is eval on decoded or request-derived input, not eval itself.
  • "It's heavily obfuscated, so it's malicious." Commercial plugins ship obfuscated (ionCube, Zend Guard, licensing). Obfuscation raises suspicion; it does not convict. Decode and read the logic.
  • "I found the shell and deleted it, done." You found a shell. Preserve it, find the entry point, and re-sweep — attackers plant redundancy.
  • "The file is a core CMS file, it must be safe." Append-infections live in exactly those files precisely because you assume that. Verify by checksum.
  • "No known-shell signature matched." Weevely and custom shells match nothing. Signatures are leads; behaviour (request-driven execution, obfuscation) is the evidence.

Reading External Sources

Fetch public advisories, specifications, and vendor reports as Markdown:

bash
curl -sL "https://defuddle.md/<url>"      # scheme in the path is optional

This strips page boilerplate — roughly 78% fewer tokens on a prose page — and returns the full text rather than a summary, so you can grep it and trust a negative result.

Three things it is not for. Fetch JSON and API responses raw, because readability extraction mangles structured data. Fetch authenticated or JavaScript-rendered pages directly, because it retrieves them anonymously. And never route adversary infrastructure (phishing links, C2, malware hosting), client-owned hosts, or engagement URLs through it — the request leaves your machine to a third party, and for live adversary infrastructure it also tips off the operator.

Some sites block the extractor and return an error blob rather than the page — {"error":"Failed to fetch: 418 I'm a teapot"} from freedesktop.org, for instance. That is the fetch being refused, not the source saying the thing does not exist. Re-fetch the URL directly before drawing any conclusion from it.

References

  • auditing-php-applications — the vulnerability that let the shell in
  • analyzing-malware — deep reverse of a single recovered shell, its C2 and capabilities
  • responding-to-incidents — evidence handling, scoping, and the wider IR this sweep sits inside
  • analyzing-linux-persistence — host-level persistence beyond the web root
  • writing-yara-rules — turning a confirmed family into a reusable signature

© trilwu, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in secskills-core/skills/hunting-web-backdoors of trilwu/secskills.

Open the folder on GitHubat commit ca53957

Compare with similar skills

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Wp Interactivity APIAutomattic/agent-skills2112 repos~1.5kAutomated safety check: PassNone
WooCommerce Email Editor Developmentwoocommerce/woocommerce11k—~893Automated safety check: PassCustom licence

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Questions about Hunting Web Backdoors

What does Hunting Web Backdoors do?

Hunt planted webshells and backdoors across a web source tree — PHP first (also JSP, ASP, Node) — triaging a directory at scale, statically decoding obfuscation layers without ever executing the…. Hunting Web Backdoors is an agent skill from trilwu/secskills. Hunt planted webshells and backdoors across a web source tree — PHP first (also JSP, ASP, Node) — triaging a directory at scale, statically decoding obfuscation layers without ever executing the payload, finding append-infections and fake plugins, and treating known shell families as leads rather than verdicts.

When should I use Hunting Web Backdoors?

Hunting Web Backdoors fits situations like: A web server is suspected compromised; cleaning a hacked WordPress/Magento/CMS site; vetting a downloaded PHP codebase; plugin for hidden malicious code.

How do I install Hunting Web Backdoors in Claude Code?

Run `npx skills add trilwu/secskills --skill hunting-web-backdoors -a claude-code`. Or copy the skill folder (secskills-core/skills/hunting-web-backdoors in trilwu/secskills) into .claude/skills/hunting-web-backdoors in your project. Claude Code loads it when a task matches its description.

How do I install Hunting Web Backdoors in Codex?

Run `npx skills add trilwu/secskills --skill hunting-web-backdoors -a codex`. Or copy the skill folder (secskills-core/skills/hunting-web-backdoors in trilwu/secskills) into .agents/skills/hunting-web-backdoors in your project. Codex loads it when a task matches its description.

Can I use Hunting Web Backdoors in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add trilwu/secskills --skill hunting-web-backdoors -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hunting-web-backdoors, .gemini/skills/hunting-web-backdoors, .github/skills/hunting-web-backdoors and .opencode/skills/hunting-web-backdoors in your project.

What does Hunting Web Backdoors need to run?

Going by SKILL.md and its folder, Hunting Web Backdoors needs the command-line tools its instructions call (git and curl). Our summary lists: Python 3.

Does Hunting Web Backdoors access the network?

SKILL.md names 1 domain. In commands or code: defuddle.md; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Hunting Web Backdoors safe to install?

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.

What licence does Hunting Web Backdoors use?

Hunting Web Backdoors is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hunting Web Backdoors use?

About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hunting Web Backdoors?

Skills that share tags, products or a category with Hunting Web Backdoors: WooCommerce Code Review (woocommerce/woocommerce, 11k stars), Wp Block Development (gambitph/Stackable, 351 stars), Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars) and Wp Interactivity API (Automattic/agent-skills, 211 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hunting Web Backdoors?

trilwu (a GitHub user) maintains it in trilwu/secskills, which has 157 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on September 4, 2026.

Source: trilwu/secskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.