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

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Submitted: Oct 11, 2025, 12:43:22 PMCompleted: Oct 11, 2025, 12:46:47 PMpubliccompleted
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Summary

This website contacted 46 IPs in 2 countries across 11 domains to perform 83 HTTP transactions. The main domain is sid.cam.ac.uk.

Submitted URL: https://www.sid.cam.ac.uk/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official .ac.uk domain for Sidney Sussex College, Cambridge
Only informational content and standard search functionality
No suspicious external links or data‑collection forms
Domain age information unavailable

Details

Page Title

Welcome | Sidney Sussex College Cambridge

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(73%)

Domain Information

You're looking at domain 'www.sid.cam.ac.uk' on the United Kingdom country-code top-level domain (.ac.uk); it also runs on subdomain 'www.sid'. Its registrable label 'cam' stretches across 3 characters split between 1 vowel and two consonants. Breaking it apart gives one word: cam. Average segment length settles at 3 characters. The linguistic tilt is Romanian for 'cam'. It also appears in Tagalog and Vietnamese contexts. Taken together, it feels Romanian with single-word simplicity.

Screenshot

Security scan screenshot of https://www.sid.cam.ac.uk/

Page Load Overview

9.76s
Total Load Time
83
HTTP Requests
11
Domains
39.2 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
Text Length:10,429 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning73% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education learning
73%
education
45%
entertainment media
28%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
61192.124.249.109Menifee, California, United States
AS30148SUCURI-SEC
4216.239.32.36United States
AS15169GOOGLE
42.16.168.106Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2216.58.206.78United States
AS15169GOOGLE
2142.250.185.163United States
AS15169GOOGLE
2142.250.185.232United States
AS15169GOOGLE
2172.66.163.83United States
AS13335CLOUDFLARENET
123.32.239.67Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.32.239.26Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.186.40United States
AS15169GOOGLE
8346--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182C3A68133E02536816362CA69295339FAE3A457D30E1A85B2FC3369CFD6D119F6760F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nW6E/he1AFx9jyX/TPPntWPbntWEwApGCH7ZWE:nW6E/heQx9joTPuGQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:125269:2AZblKIAvDQDIYoFJogAQERolpEeBgAQggAkcrjhjTEmLUAIVaIS4BYBjGIEgpNQMJOsOWAwffgNkKplALlpJkYYCQakAYCZ

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:00000201ffffffff
Perceptual Hash:89355cc26233b5dd
Difference Hash:9db3b69bc1c9b1b3
Wavelet Hash:00000001ffffffdf
Color Hash:#783a4c

Scan History

Scan history not available

Unable to load historical scan data