Security Scan Report: www.geog.cam.ac.uk

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Submitted: Feb 21, 2026, 8:58:39 AMCompleted: Feb 21, 2026, 8:59:49 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is geog.cam.ac.uk and was registered NaN years ago.

Submitted URL: https://www.geog.cam.ac.uk/research/projects/greenlandicesheet/

The Cisco Umbrella rank of the primary domain is #40,109 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

www.geog.cam.ac.uk

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(47%)

Domain Information

Domain 'www.geog.cam.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) and includes subdomain 'www.geog'. Its registrable label 'cam' stretches across 3 characters split between 1 vowel and two consonants. Word splitting yields one word: cam. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.geog.cam.ac.uk/research/projects/greenlandicesheet/

Page Load Overview

2.83s
Total Load Time
39
HTTP Requests
5
Domains
313 KB
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
Text Length:17,447 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
47%
education
45%
government public service
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39128.232.136.3Cambridge, England, United Kingdom
AS786Jisc Services Limited
391--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszQ2bMy8Oldm:mhoC9JSqzzbs6o3Sj3gcrs82eAc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184589:SKUIKATUAhLBEF5ARAoRIIALIBSDJkAUCA5ogxIGmNmITAAEBlIBwJxYEAA5paZBmCoA4BIIgJhLAQQIqgWkgRm4hog1Akkg

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:ffcfc3c3ffffffff
Perceptual Hash:b131cccccc733363
Difference Hash:00181c1c00000000
Wavelet Hash:ffdfc3c300000000
Color Hash:#49783a

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data