Security Scan Report: www.iash.ed.ac.uk

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Submitted: Dec 23, 2025, 8:19:37 PMCompleted: Dec 23, 2025, 8:20:00 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 33 HTTP transactions. The main domain is iash.ed.ac.uk and was registered NaN years ago.

Submitted URL: https://www.iash.ed.ac.uk/profile/dr-jacob-bard-rosenberg

The Cisco Umbrella rank of the primary domain is #77,282 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate academic profile page with no security concerns.

Safety Factors
Established academic domain (iash.ed.ac.uk)
Standard university profile page with no credential collection
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Dr Jacob Bard-Rosenberg | IASH

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'www.iash.ed.ac.uk' on the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www.iash'. Its registrable label 'ed' stretches across 2 characters split between one vowel and one consonant. It segments into 1 word: ed. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.iash.ed.ac.uk/profile/dr-jacob-bard-rosenberg

Page Load Overview

2.81s
Total Load Time
33
HTTP Requests
4
Domains
591 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:4,549 chars
Detector Agreement:67%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
social media
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.18.10.207United States
AS13335CLOUDFLARENET
8216.58.210.131United States
AS15169GOOGLE
8216.58.209.170United States
AS15169GOOGLE
8129.215.10.128Edinburgh, Scotland, United Kingdom
AS786Jisc Services Limited
334--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2D2E7166250963B039742C8BEB8FB4FB783D1ABD64A0910F5BE8DE457D2D20494A37F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:UVzveg9jQmRCJV56fw92r51Q5i6350cr7XCC1LRWERhBeE471kvLkw7ZKf:w9jQmRCJV5yb8jpRx1kf7iTksQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29332:SAphWh0LEZIqMAIinkQBoHoCCEKjGmoGnbkhHUMxMERCFEUFFEgqAVJACQ0hIQDatBKHAQALgRSQ4jQKAGImMmAATCWDQ0D1

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:0000fffffdfdff00
Perceptual Hash:ca2d254a6ab5ca37
Difference Hash:63216e6909491f83
Wavelet Hash:0000fffdfdfd8300
Color Hash:#d279bf

Scan History

Scan history not available

Unable to load historical scan data