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 skills add trilwu/secskills --skill hunting-web-backdoorsgit clone --depth 1 https://github.com/trilwu/secskillsWrote 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/trilwu/secskills/hunting-web-backdoors)<a href="https://agentmods.dev/skills/trilwu/secskills/hunting-web-backdoors"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/hunting-web-backdoors/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.
<a href="https://agentmods.dev/skills/trilwu/secskills/hunting-web-backdoors"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/hunting-web-backdoors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to critical
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- critical YARA Match · line 104 YARA rule matched a known webshell pattern (PHP, Python, JSP, or ASPX webshell).Fix: Remove the webshell code immediately. Webshells provide unauthorized remote command execution. Audit the skill for additional backdoors or persistence mechanisms.
- critical YARA Match · line 157 YARA rule matched a known webshell pattern (PHP, Python, JSP, or ASPX webshell).Fix: Remove the webshell code immediately. Webshells provide unauthorized remote command execution. Audit the skill for additional backdoors or persistence mechanisms.
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 | $0.00117 | $0.03069 |
| Opus 5 | $0.00059 | $0.01535 |
| Sonnet 5 | $0.00023 | $0.00614 |
| Haiku 4.5 | $0.00012 | $0.00307 |
Grade A, and why
hunting-web-backdoors scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL "https://defuddle.md/<url>" # scheme in the path is optional How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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, orsystemon 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(withfile_put_contents('out.php', ...)and running it is executing the payload if any prior layer has side effects. Decode statically, then read.
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.
- 12d ago First seen · 238 lines · 117 tokens per session scan A f586ab841eae
hunting-web-backdoors is a skill published in the GitHub repository trilwu/secskills (138 stars, last pushed 7d ago), licensed MIT. It adds 117 tokens to every session and 3,069 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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