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Security Scan Report: newn.cam.ac.uk

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Submitted: Nov 23, 2025, 6:14:24 AMCompleted: Nov 23, 2025, 6:16:09 AMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 8 domains to perform 52 HTTP transactions. The main domain is newn.cam.ac.uk.

Submitted URL: https://newn.cam.ac.uk/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Cambridge college website with no security concerns.

Safety Factors
Established educational institution
High Cisco Umbrella ranking
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

The iconic women’s college at Cambridge University | Newnham

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(80%)

Domain Information

The domain 'newn.cam.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk); it also runs on subdomain 'newn'. Count 3 characters in 'cam' holding one vowel versus two consonants. Splitting it apart reveals one word: cam. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://newn.cam.ac.uk/

Page Load Overview

1.01s
Total Load Time
52
HTTP Requests
8
Domains
8.2 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:12,368 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
80%
education
45%
documentation technical
35%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44192.124.249.37Menifee, California, United States
AS30148SUCURI-SEC
14216.239.32.36United States
AS15169GOOGLE
299.84.152.9United States
AS16509AMAZON-02
2172.66.163.83United States
AS13335CLOUDFLARENET
2104.20.44.120United States
AS13335CLOUDFLARENET
2142.250.185.168United States
AS15169GOOGLE
2142.250.185.232United States
AS15169GOOGLE
22a00:1450:4001:812::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22606:4700:10::ac42:a353United States
AS13335CLOUDFLARENET
22001:4860:4802:34::36United States
AS15169GOOGLE
5220--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T178F34090B6E0302141A281997B29E63BFEA2D04BD309694471FC235EDFDBE518DE7B1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:q1QKYdriGVm8tzyAHfy8X6ZsrUcwoYE0roDbWff/WmCGTWWFN8BBTLH6u9DXp0hl:q11YdriGVm8tzyAlFu/aVo3R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:161879:ggAFgGAQkSAAGCohiAkQwDDBQVDtA2EkFUMiQgkABAZI6GA4AAYkBxJJiL5LG2APZB1Gd0OZnAQBCwDBKCJBBDBEAhERIIhh

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:80020282033f3133
Perceptual Hash:ae718e9b71ca9461
Difference Hash:141e2e2e0a676767
Wavelet Hash:c7c283c383bf3133
Color Hash:#87d279

Other Hashes

Crop Resistant:dd7cbcb53697938f,14162e2e0a676767,745454f396adad2e

Scan History

Scan history not available

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