Summary
This website contacted 23 IPs in 2 countries across 8 domains to perform 45 HTTP transactions. The main domain is proctors.cam.ac.uk.
Submitted URL: https://www.proctors.cam.ac.uk/
AI Security Verdict
Safe Website
Confidence: 96%
0
Risk Score
The site is a legitimate University of Cambridge page with no phishing or scam indicators.
Safety Factors
Official university domain
Clear, non‑phishing content
Absence of login or payment forms
No malicious Indicators of Compromise
Standard hosting with no noindex tags
Domain age information unavailable
Details
Page Title
The Proctors' and Marshal's Office |
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
education
(90%)Screenshot
Page Load Overview
12.29s
Total Load Time
45
HTTP Requests
8
Domains
15.5 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:6,110 chars
Detector Agreement:100%
Website Classification
Primary Category
education90% confidence
Type: dynamic
Method: structural
All Detected Categories
education
90%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 23 | 104.20.44.120 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.163.83 | United States | AS13335CLOUDFLARENET |
| 1 | 2.19.126.198 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.185.195 | United States | AS15169GOOGLE |
| 1 | 142.250.185.72 | United States | AS15169GOOGLE |
| 1 | 23.185.0.1 | United States | AS54113FASTLY |
| 1 | 23.32.238.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2.19.126.225 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 45 | 23 | - | - |
Detected Technologies15
100%
100%
85%
50%
50%
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40%
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20%
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20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T15963D81263A1111B46B281CA7C66F74ABA57918BDE871D45F7ECC228CFDBF85098334E
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
768:C1vhXFJvyWg1HMjue47QY3Zi7L2qtNC+hgLCOfpjQWHVYP:CXyWg1HMj43Zi7L2qtNwLTpjQWSP
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:67238:wwawAAwkNPLCgBgV1EoBAmQmbA6pFCEUMjRjzQSLykY4GosCgMYAiDBEAMgcW7KIxAEMAEAlKo4EFAAaCEl1BAkhYq6RgBRM
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:0000787e3616ffef
Perceptual Hash:9649393606f919ed
Difference Hash:cdc1d3d464242d2c
Wavelet Hash:0000787e3616ffbf
Color Hash:#87e06c
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data