Summary
This website contacted 12 IPs in 1 country across 4 domains to perform 39 HTTP transactions. The main domain is acmsf.food.gov.uk and was registered NaN years ago.
Submitted URL: https://acmsf.food.gov.uk/
The Cisco Umbrella rank of the primary domain is #366,650 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate and poses no security concerns.
Safety Factors
Details
Page Title
Advisory Committee on the Microbiological Safety of food | Advisory Committee on the Microbiological Safety of food
Scan Type
public
Language
English
Category
government public service
(49%)Domain Information
The domain name 'acmsf.food.gov.uk' uses the United Kingdom country-code top-level domain (.gov.uk) with subdomain 'acmsf'. The core label 'food' covers 4 characters with two vowels and 2 consonants. Segmentation suggests one word: food. 'food' most often appears in English. You may catch it in Chinese (Pinyin) and Sinhala as well. Taken together, it feels English with single-word simplicity.
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 |
|---|---|---|---|
| 6 | 142.250.185.72 | United States | AS15169GOOGLE |
| 3 | 216.239.34.36 | United States | AS15169GOOGLE |
| 3 | 172.66.162.3 | United States | AS13335CLOUDFLARENET |
| 3 | 104.20.32.123 | United States | AS13335CLOUDFLARENET |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 142.250.186.106 | United States | AS15169GOOGLE |
| 3 | 2001:4860:4802:34::36 | United States | Unknown |
| 3 | 2606:4700:10::ac42:a203 | United States | Unknown |
| 3 | 2001:4860:4802:32::36 | United States | Unknown |
| 3 | 2606:4700:10::6814:207b | United States | Unknown |
| 39 | 12 | - | - |
Detected Technologies9
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
Scan history not available
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