Summary
This website contacted 81 IPs in 3 countries across 19 domains to perform 124 HTTP transactions. The main domain is aoc.co.uk.
Submitted URL: https://www.aoc.co.uk/
AI Security Verdict
Safe Website
Confidence: 95%
1
Risk Score
The site appears to be the legitimate Association of Colleges website with no phishing or malware indicators.
Safety Factors
Official brand name matches the domain
No malicious Indicators of Compromise detected
No credential‑stealing or payment collection forms
Domain age information unavailable
Details
Page Title
AoC Home | Association of Colleges
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
education learning
(48%)Screenshot
Page Load Overview
17.05s
Total Load Time
124
HTTP Requests
19
Domains
3.9 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-GB
Text Length:35,585 chars
Detector Agreement:100%
Website Classification
Primary Category
education learning48% confidence
Type: dynamic
Method: ml+structural
All Detected Categories
education learning
48%
government public service
35%
corporate
25%
news/blog
20%
forum
20%
Detected Features
Search
Articles
OG: website
Schema.org
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 44 | 23.36.162.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 13.226.244.80 | United States | AS16509AMAZON-02 |
| 1 | 142.250.186.104 | United States | AS15169GOOGLE |
| 1 | 4.250.61.158 | London, England, United Kingdom | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 13.226.244.91 | United States | AS16509AMAZON-02 |
| 1 | 23.56.205.206 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 13.226.244.22 | United States | AS16509AMAZON-02 |
| 1 | 172.67.69.83 | United States | AS13335CLOUDFLARENET |
| 1 | 13.226.244.32 | United States | AS16509AMAZON-02 |
| 124 | 81 | - | - |
Detected Technologies8
100%
100%
20%
20%
20%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1A2A4B47294B011372717C7C83AB7EB2AB753908BDD565E4276EC07984FC2EA8181B25F
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
6144:wAZyUalgbVybVtbVzER6v6QxweU3Gs/SEb:xZyUalgbVybVtbVzkb
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:472457:jw1IGQMCPJPQEYBCgDYEVADHJZDoA3QDRpUmHIRU0AhCpG7gZoAAaxQxUCIgCwwiTUAgSuEsEAEbgBAEBGAkgSEAgUBtCLYI
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
Average Hash:ffff070000010000
Perceptual Hash:8bf4fe2956251866
Difference Hash:6400ebd4d8534ff5
Wavelet Hash:ffff3f381c01001c
Color Hash:#ac9053
Scan History
Scan history not available
Unable to load historical scan data