Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is cafcass.gov.uk and was registered NaN years ago.
Submitted URL: http://www.cafcass.gov.uk
Effective URL: https://www.cafcass.gov.uk/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate government website with no malicious signals detected.
Safety Factors
Details
Page Title
Cafcass advises the family courts about the welfare of children and what is in their best interests | Cafcass
Scan Type
public
Language
English
Category
government
(48%)Domain Information
You're looking at domain 'www.cafcass.gov.uk' on the United Kingdom country-code top-level domain (.gov.uk) and includes subdomain 'www'. The second-level label 'cafcass' is 7 characters long holding two vowels versus 5 consonants. Splitting it apart reveals 2 words: caf, cass. Average segment length settles at 3.5 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 |
|---|---|---|---|
| 30 | 142.251.13.97 | United States | AS15169Google LLC |
| 30 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 60 | 2 | - | - |
Detected Technologies4
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
Scan History
Scan history not available
Unable to load historical scan data