Summary
This website contacted 15 IPs in 3 countries across 16 domains to perform 180 HTTP transactions. The main domain is walthamforest.gov.uk and was registered NaN years ago.
Submitted URL: https://www.walthamforest.gov.uk/
The Cisco Umbrella rank of the primary domain is #499,819 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Home | London Borough of Waltham Forest
Scan Type
public
Language
English
Category
adult content
(79%)Domain Information
Within the United Kingdom country-code top-level domain (.gov.uk), 'www.walthamforest.gov.uk' is registered, featuring subdomain 'www'. The registrable portion 'walthamforest' spans 13 characters holding four vowels versus nine consonants. Word splitting yields two words: waltham, forest. Expect 6.5 characters per word on average. 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 |
|---|---|---|---|
| 14 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 11 | 142.251.140.164 | United States | |
| 11 | 142.251.141.72 | Netherlands | |
| 11 | 98.98.135.24 | Amsterdam, North Holland, Netherlands | AS21859ZEN-ECN |
| 11 | 66.102.1.157 | Unknown | |
| 11 | 216.239.34.36 | Unknown | |
| 11 | 34.98.105.146 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 11 | 35.190.52.95 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 11 | 142.250.186.99 | Unknown | Unknown |
| 11 | 34.98.91.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 168 | 15 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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