ScanMalware.com

Security Scan Report: www.wolvcoll.ac.uk

Submitted: Jan 24, 2026, 6:56:02 PMCompleted: Jan 24, 2026, 6:57:38 PMpubliccompleted
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Summary

This website contacted 8 IPs in 4 countries across 8 domains to perform 103 HTTP transactions. The main domain is wolvcoll.ac.uk and was registered NaN years ago.

Submitted URL: https://www.wolvcoll.ac.uk/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate college website with no security concerns detected.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection forms
Consistent branding with official college name
No suspicious redirects or hidden malicious scripts
Domain age information unavailable

Details

Page Title

City of Wolverhampton College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(92%)

Domain Information

Within the United Kingdom country-code top-level domain (.ac.uk), 'www.wolvcoll.ac.uk' is registered with subdomain 'www'. Its registrable label 'wolvcoll' stretches across 8 characters with two vowels and six consonants. Word splitting yields 3 words: wo, lv, coll. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wolvcoll.ac.uk/

Page Load Overview

3.73s
Total Load Time
112
HTTP Requests
20
Domains
3.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-GB
Text Length:24,201 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content92% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
92%
education learning
83%
government public service
57%
education
45%
news/blog
20%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.217.18.8United States
AS15169GOOGLE
1423.32.238.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
14142.251.140.163United States
AS15169GOOGLE
1491.197.231.23United Kingdom
AS204436Kualo Limited
1423.32.238.192Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
14142.251.141.138United States
AS15169GOOGLE
1457.144.110.128Warsaw, Mazovia, Poland
AS32934FACEBOOK
1484.18.217.131United Kingdom
AS29636Team Blue Carrier Limited
1128--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA84C6B3A055643702A7D5D678309B6B7193D20ECD4208C9F7FCC7AC6BC5EE4AA2252D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5HhMIR74RfWRQOPmBWx1x/r12FX1CVevejbU4HqHSB9rWWe9eSV6P8pQKJc3eTeV:JaR4xDr12mfHqHjVCQhBjXbJw2u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:371588:QAYBIKIgYQHoSIFEkQ8BGQGUAAS4KGZAAK9DJAA0IiigpTjJAMTIegEIdCLQgCSTIBElAgBZ2oAMAsAEQdJCQJE6iSALA2JC

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:ffe7a78785180004
Perceptual Hash:bae7c3c8908dcd32
Difference Hash:684d4d352d3b79cc
Wavelet Hash:ffe7e78f85190004
Color Hash:#b3e06c

Other Hashes

Crop Resistant:684d4d352d3b79cc,b1ee1c989e673638,a2c09a908c9c808a,02004080c2c0c080,4d4d353d29334ccc,070f277179d8d0c9

Scan History

Scan history not available

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