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Security Scan Report: extension.umn.edu

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Submitted: Dec 27, 2025, 12:33:45 PMCompleted: Dec 27, 2025, 12:34:22 PMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 18 domains to perform 128 HTTP transactions. The main domain is extension.umn.edu and was registered NaN years ago.

Submitted URL: https://extension.umn.edu/biting-insects/bed-bugs

The Cisco Umbrella rank of the primary domain is #40,228 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established university domain
No suspicious redirects or hidden fields
Content aligns with known UMN Extension site
Domain age information unavailable

Details

Page Title

Bed bugs | UMN Extension

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(77%)

Domain Information

The domain 'extension.umn.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'extension'. The second-level label 'umn' is 3 characters long split between one vowel and 2 consonants. Splitting it apart reveals 2 words: um, n. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://extension.umn.edu/biting-insects/bed-bugs

Page Load Overview

4.91s
Total Load Time
157
HTTP Requests
20
Domains
4.5 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:17,050 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content77% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
77%
education learning
65%
healthcare medical
55%
government public service
54%
education
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.99.85.235Germany
AS15169
8104.21.27.152United States
AS13335CLOUDFLARENET
8104.18.20.11United States
AS13335CLOUDFLARENET
8188.114.96.3United States
AS13335CLOUDFLARENET
8142.250.184.200UnknownUnknown
83.122.20.175UnknownUnknown
8142.251.208.14UnknownUnknown
8216.239.34.36United States
AS15169GOOGLE
8142.250.185.195United States
AS15169GOOGLE
8104.17.208.240United States
AS13335CLOUDFLARENET
15718--

Detected Technologies7

MetaGenerator
100%
Google-AnalyticsvUniversal
100%
Drupalv11
100%
PHP
50%
HSTS
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15ED32B03C6A4113B824753E8F670B358B667D29FEE4406A4F2BC4A9827D2FD49C2779D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:eT2uIlMG08vX/g1LULZva8o1Ddl8ZA6fwPw8jsJltbuqdyzB7Lq4Egj8xlbI+7B+:eKg1//MS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:133119:hKWzhiZiEwKClgEfPCFzA4QD26CiwRFBkIAgQAo8EAhIiAAsJz4qzJhCETAAIqCMKA5YT0gjKgwLQ01NRGYSpA0DOlhC5AZg

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:00fff9f9f9e9e1e1
Perceptual Hash:eb943731486b4c37
Difference Hash:8a4073333343494b
Wavelet Hash:00fff9f8f8c0e0e0
Color Hash:#e06ccc

Other Hashes

Crop Resistant:8a4073333343494b,452aaa8a8aaaaa45,c9caba82b2849082,a008a0a6808c92b0,2d0e434301010303

Scan History

Scan history not available

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