Summary
This website contacted 28 IPs in 4 countries across 12 domains to perform 42 HTTP transactions. The main domain is argyll-bute.gov.uk and was registered NaN years ago.
Submitted URL: https://www.argyll-bute.gov.uk/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no security concerns.
Safety Factors
Details
Page Title
Welcome to Argyll & Bute Council | Argyll and Bute Council
Scan Type
public
Language
English
Category
education learning
(88%)Domain Information
You're looking at domain 'www.argyll-bute.gov.uk' on the United Kingdom country-code top-level domain (.gov.uk), featuring subdomain 'www'. Count 11 characters in 'argyll-bute' containing three vowels alongside seven consonants, plus one hyphen. Word splitting yields two words: argyll, bute. Expect five characters per word on average. 'argyll' most strongly signals Galician. Secondary signals appear in Lithuanian and Bosnian.
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 |
|---|---|---|---|
| 15 | 172.66.163.83 | United States | AS13335CLOUDFLARENET |
| 1 | 13.33.187.7 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 20.150.52.129 | Cardiff, Wales, United Kingdom | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 13.33.187.14 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 172.217.18.3 | United States | AS15169GOOGLE |
| 1 | 104.20.44.120 | United States | AS13335CLOUDFLARENET |
| 1 | 52.212.125.22 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 13.33.187.72 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 54.192.35.76 | United States | AS16509AMAZON-02 |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 42 | 28 | - | - |
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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