Update the Tutorial section for new document version

.local/llm.txt/14_proxy_security.md

@@ -93,3 +93,39 @@ crawler_config = CrawlerRunConfig(magic=True)  # Enable all anti-detection featu
 async with AsyncWebCrawler(config=browser_config) as crawler:
     result = await crawler.arun(url="https://example.com", config=crawler_config)
 ```
+
+## SSL Certificate Verification
+
+Crawl4AI can retrieve and analyze SSL certificates from HTTPS websites. This is useful for:
+- Verifying website authenticity
+- Detecting potential security issues
+- Analyzing certificate chains
+- Exporting certificates for further analysis
+
+Enable SSL certificate retrieval with `CrawlerRunConfig`:
+
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+config = CrawlerRunConfig(fetch_ssl_certificate=True)
+async with AsyncWebCrawler() as crawler:
+    result = await crawler.arun(url="https://example.com", config=config)
+    
+    if result.success and result.ssl_certificate:
+        cert = result.ssl_certificate
+        
+        # Access certificate properties
+        print(f"Issuer: {cert.issuer.get('CN', '')}")
+        print(f"Valid until: {cert.valid_until}")
+        print(f"Fingerprint: {cert.fingerprint}")
+        
+        # Export certificate in different formats
+        cert.to_json("cert.json")  # For analysis
+        cert.to_pem("cert.pem")    # For web servers
+        cert.to_der("cert.der")    # For Java applications
+```
+
+The SSL certificate object provides:
+- Direct access to certificate fields (issuer, subject, validity dates)
+- Methods to export in common formats (JSON, PEM, DER)
+- Certificate chain information and extensions