Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is sxswlondon.com and was registered NaN years ago.
Submitted URL: https://sxswlondon.com/speakers/rep-jasmine-crockett-58f89f31
AI Security Verdict
Safe Website
Confidence: 92%
The site shows its own brand, has no forms or malicious indicators, and is hosted on a well‑established domain – classified as legitimate.
Safety Factors
Details
Page Title
Rep. Jasmine Crockett | SXSW London 2026 Speakers
Scan Type
public
Language
English
Category
real estate property
(74%)Domain Information
The domain 'sxswlondon.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'sxswlondon' is 10 characters long split between two vowels and eight consonants. Breaking it apart gives 2 words: sxsw, london. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 103 | 216.150.1.1 | United States | AS16509Amazon.com, Inc. |
| 102 | 104.18.40.68Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 205 | 2 | - | - |
Page Statistics
Detected Technologies13
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data