ScanMalware.com

Security Scan Report: www.kellogg.ox.ac.uk

Submitted: Oct 8, 2025, 5:14:30 PMCompleted: Oct 8, 2025, 5:15:39 PMpubliccompleted
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Summary

This website contacted 50 IPs in 4 countries across 11 domains to perform 68 HTTP transactions. The main domain is kellogg.ox.ac.uk.

Submitted URL: https://www.kellogg.ox.ac.uk/

The Cisco Umbrella rank of the primary domain is #82,792 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Official University of Oxford subdomain
High Cisco Umbrella ranking
Absence of suspicious forms or data collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Home - Kellogg College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(60%)

Domain Information

Domain 'www.kellogg.ox.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www.kellogg'. Count 2 characters in 'ox' holding one vowel versus 1 consonant. Tokenizing the label suggests 1 word: ox. The median word length lands at 2 characters. Most frequently, 'ox' shows up in English. It also appears in Icelandic and Sinhala contexts. Taken together, it feels English with single-word simplicity.

Screenshot

Security scan screenshot of https://www.kellogg.ox.ac.uk/

Page Load Overview

25.30s
Total Load Time
68
HTTP Requests
11
Domains
2.0 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:9,891 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
60%
education
45%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19104.18.1.22United States
AS13335CLOUDFLARENET
1166.117.105.37United States
AS16509AMAZON-02
1166.117.27.6United States
AS16509AMAZON-02
195.101.122.177Milan, Lombardy, Italy
AS20940Akamai International B.V.
1142.250.186.174United States
AS15169GOOGLE
1104.18.19.62United States
AS13335CLOUDFLARENET
1142.250.185.72United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
1104.18.18.62United States
AS13335CLOUDFLARENET
1142.250.185.238United States
AS15169GOOGLE
6850--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEA30AB3685E303E421FB1D5B961A35F76A2C506CE07615873FD6268CFC6E924DA320E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vus9Yapak0WbrWtyNVcO+7HcIDwYqiwvWVI:vueXEk04nNVcHdDwFiWWVI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103075:YtcDqzAuiGQrIC2EFHlgkYCJDiMACOCgpCAExCgAVAIDAgAQAQYkgAXCChDEDwFkRDRIZtJaR8Suh1LBGBFJXkBaCAHjQVEA

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:ff38f0b0302030fd
Perceptual Hash:cfec992596b8a292
Difference Hash:736361676643e369
Wavelet Hash:fff8b0b0302030ff
Color Hash:#53ac8d

Other Hashes

Crop Resistant:736361676643e369,327a7a7acb2b9b9f,cc4ede9e9edaba3c,19989899bbf10f4b,9f9dcd0c96372437,c686958d0d264693

Scan History

Scan history not available

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