Summary
This website contacted 66 IPs in 4 countries across 18 domains to perform 176 HTTP transactions. The main domain is walthamforest.gov.uk and was registered NaN years ago.
Submitted URL: https://www.walthamforest.gov.uk/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate government website with minimal risk.
Safety Factors
Details
Page Title
Home | London Borough of Waltham Forest
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'www.walthamforest.gov.uk' uses the United Kingdom country-code top-level domain (.gov.uk), featuring subdomain 'www'. The core label 'walthamforest' covers 13 characters containing 4 vowels alongside 9 consonants. It segments into two words: waltham, forest. Expect 6.5 characters per word on average. The linguistic tilt is Vietnamese for 'waltham'. You may catch it in English and Chinese (Pinyin) as well. Net impression: Vietnamese phrase.
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 |
|---|---|---|---|
| 46 | 18.172.112.25 | United States | AS16509AMAZON-02 |
| 2 | 34.98.105.146 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 35.190.93.146 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 104.20.17.167 | United States | AS13335CLOUDFLARENET |
| 2 | 18.172.112.69 | United States | AS16509AMAZON-02 |
| 2 | 23.53.40.35 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 54.93.157.185 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 2 | 18.158.233.122 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 2 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 176 | 66 | - | - |
Detected Technologies12
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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