Summary
This website contacted 26 IPs in 2 countries across 9 domains to perform 60 HTTP transactions. The main domain is environment.uw.edu and was registered NaN years ago.
Submitted URL: https://environment.uw.edu/faculty/david-montgomery/
The Cisco Umbrella rank of the primary domain is #67,189 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
David Montgomery | College of the Environment
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Domain 'environment.uw.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'environment'. Its registrable label 'uw' stretches across 2 characters holding one vowel versus one consonant. It segments into 1 word: uw. Median word length is two characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 36 | 128.208.60.146 | Seattle, Washington, United States | AS73WASHINGTON-AS |
| 12 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 128.208.60.183 | Seattle, Washington, United States | AS73WASHINGTON-AS |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 2.16.168.109 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 34.168.51.100 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 34.82.219.4 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 2.16.168.106 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 140.142.142.39 | Seattle, Washington, United States | AS73WASHINGTON-AS |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 60 | 26 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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