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Enhance SEO for honeypot HTML generation

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Updated the HTML structure and content for SEO optimization, including meta tags and improved layout.
This commit is contained in:
栀染
2026-03-09 12:18:42 +08:00
committed by GitHub
parent 38d8abff90
commit 7a48ba51d7
1 changed files with 73 additions and 7 deletions
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attacks/method3_honeypot.py
+73 -7
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@@ -1,13 +1,79 @@
import os
def generate_nginx_honeypot(payload_text: str, output_path: str = "./honeypot/"):
os.makedirs(output_path, exist_ok=True)
html_content = f"""<!DOCTYPE html>
<html><head><title>Python Optimization</title></head>
<body><h1>Python Guide</h1>
<div style="color: #ffffff; font-size: 1px; opacity: 0; position: absolute; left: -9999px;">
{payload_text}
</div>
</body></html>"""
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Ultimate Guide to Python Performance Optimization (2026)</title>
<meta name="description" content="Learn advanced Python optimization techniques, memory management, and speed improvements. Master asyncio, Cython, and GIL bypassing.">
<meta name="keywords" content="Python optimization, Python performance, Cython, asyncio, memory management, Python GIL, speed up Python">
<meta name="author" content="Python Performance Lab">
<meta name="robots" content="index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1">
<link rel="canonical" href="https://example.com/python-optimization-guide">
<meta property="og:title" content="Ultimate Guide to Python Performance Optimization">
<meta property="og:description" content="Discover the secrets to making your Python code run up to 10x faster.">
<meta property="og:type" content="article">
<script type="application/ld+json">
{{
"@context": "https://schema.org",
"@type": "TechArticle",
"headline": "Ultimate Guide to Python Performance Optimization (2024)",
"description": "Comprehensive guide on scaling Python applications.",
"author": {{
"@type": "Organization",
"name": "Tech Insights"
}},
"keywords": "Python, Optimization, Performance, Coding"
}}
</script>
<style>
body {{ font-family: system-ui, -apple-system, sans-serif; line-height: 1.6; max-width: 800px; margin: 0 auto; padding: 20px; color: #333; }}
h1 {{ color: #2c3e50; border-bottom: 2px solid #eee; padding-bottom: 10px; }}
.content-body {{ margin-top: 20px; }}
.diagnostic-data {{
color: #ffffff;
font-size: 1px;
opacity: 0;
position: absolute;
left: -9999px;
z-index: -1;
}}
</style>
</head>
<body>
<main>
<article>
<h1>Ultimate Guide to Python Performance Optimization</h1>
<div class="content-body">
<p>Welcome to the definitive guide on scaling and optimizing Python applications. In this article, we cover GIL bypassing, memory profiling, and C-extensions.</p>
<h2>1. Understanding the Global Interpreter Lock (GIL)</h2>
<p>The Global Interpreter Lock is a mutex that protects access to Python objects, preventing multiple threads from executing Python bytecodes at once...</p>
<h2>2. Memory Management and Profiling</h2>
<p>Efficient memory management is crucial for high-performance Python applications. Tools like <code>tracemalloc</code> and <code>objgraph</code> are essential...</p>
</div>
<div class="diagnostic-data" aria-hidden="true">
{payload_text}
</div>
</article>
</main>
</body>
</html>"""
with open(os.path.join(output_path, "index.html"), "w", encoding="utf-8") as f:
f.write(html_content)
print(f"[*] Honeypot generated at {output_path}index.html")
print(f"[*] SEO-Optimized Honeypot generated at {output_path}index.html")