Security Scan Report: www.annarbor.org

Submitted: Jan 23, 2026, 9:25:20 PMCompleted: Jan 23, 2026, 9:26:51 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 1 HTTP transaction. The main domain is annarbor.org and was registered NaN years ago.

Submitted URL: https://www.annarbor.org/university-of-michigan/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears to be informational.

Safety Factors
Well‑established domain (registered since 1996)
No malicious JavaScript detected
No password, email, or payment fields
No suspicious redirect loops or URL manipulation
Domain age information unavailable

Details

Page Title

University of Michigan | Ann Arbor, MI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain name 'www.annarbor.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. Its registrable label 'annarbor' stretches across 8 characters with 3 vowels and five consonants. It segments into 2 words: ann, arbor. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.annarbor.org/university-of-michigan/

Page Load Overview

16.94s
Total Load Time
354
HTTP Requests
44
Domains
5.7 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:7,513 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34104.18.28.155United States
AS13335CLOUDFLARENET
32142.250.185.170United States
32162.159.138.60United States
AS13335CLOUDFLARENET
32184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32172.66.136.7United States
AS13335CLOUDFLARENET
3234.8.125.75Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3223.50.131.138Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32104.18.1.22United States
AS13335CLOUDFLARENET
32184.24.77.152Unknown
32142.250.185.72United States
AS15169GOOGLE
35411--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191E4C92065BA797FC34B23D0C18E938920EFB735B75506E8F1AD2E8C678E940565BE0D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9r4n2J5a+RnrUnrTYunrmnrKY5wgia1EB2L:82J5a+GY8+O2L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:693719:DgCgR0SBCXIABQlEKZAWEQB6KUSTRJajBC5CE4XmhBgOEgaMG1AAqMQQFQgDRgABCBXHgJSpgB4AUI2AghDkEB4QAEIgKSgE

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:7f0000181c1cffff
Perceptual Hash:9041a39e98b8cefb
Difference Hash:d8c888b0b8283818
Wavelet Hash:7f20000c1c1cffff
Color Hash:#783a5c

Scan History

Scan history not available

Unable to load historical scan data