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Security Scan Report: www.un-ihe.org

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Submitted: Jan 4, 2026, 9:54:53 AMCompleted: Jan 4, 2026, 9:56:38 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 9 domains to perform 67 HTTP transactions. The main domain is un-ihe.org and was registered NaN years ago.

Submitted URL: https://www.un-ihe.org/people/staff/aaron-wolf

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate staff profile page with no security concerns.

Safety Factors
Well‑established domain
Official institutional website
No credential‑harvesting or payment collection forms
No suspicious redirects or brand impersonation
Domain age information unavailable

Details

Page Title

Aaron Wolf | IHE Delft Institute for Water Education

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(25%)

Domain Information

You're looking at domain 'www.un-ihe.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. The second-level label 'un-ihe' is 6 characters long holding three vowels versus 2 consonants, along with one hyphen. Splitting it apart reveals 3 words: un, i, he. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.un-ihe.org/people/staff/aaron-wolf

Page Load Overview

1.24s
Total Load Time
38
HTTP Requests
2
Domains
N/A
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:1,630 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism25% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
25%
corporate
25%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.250.185.168United States
AS15169
252.219.72.237United States
AS1103
23.5.137.91United StatesUnknown
246.31.51.51United StatesUnknown
2142.250.184.202United StatesUnknown
246.31.50.19United StatesUnknown
2216.239.32.36United StatesUnknown
2172.217.23.99United StatesUnknown
2194.171.38.13Delft, South Holland, Netherlands
AS1103SURF B.V.
2216.239.34.36United StatesUnknown
3813--

Detected Technologies13

X-UA-Compatible
100%
Open-Graph-Protocolvwebsite
100%
JQueryv3.3.1
100%
Google-AnalyticsvUniversal
100%
Google Analytics
55%
Microsoft ASP.NET
50%
Google Tag Manager
50%
Kestrel
40%
HSTS
40%
Episerver/Optimizely CMSvCMS 12+ (.NET Core)
25%
jQuery UI
20%
Ramda
20%
Hotjar
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B131AB35558163F034347E9BAB6F71D32ABA01FEAD21550B3FD52980BD7EC2AA23504

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:oeElFJ1/sUFJR1hPYsdGFJJVEF1JkLbsYoVsQJXjXeRcuylpq+5q47My7v07MOv2:oXJBJWJ4luI8vie8uNaHUWRV9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41994:LigEppCCwY7AMAEBIYlDglAoQeKIKpCEZQJpROQBRwIYBQCxg5WCTAgUErogyABaMVAYgCiEqR1AKlwyiYGcwWkCAkATrQ2J

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:ff00060400fbffff
Perceptual Hash:9516ecc993aecc94
Difference Hash:638c2cd8ca320e3e
Wavelet Hash:ff00000200fbffff
Color Hash:#4c40bf

Other Hashes

Crop Resistant:638c2cd8ca320e3e,0d0c8c3cd8cafa13

Scan History

Scan history not available

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