Summary
This website contacted 84 IPs in 4 countries across 32 domains to perform 142 HTTP transactions. The main domain is maxwell.syr.edu and was registered NaN years ago.
Submitted URL: https://www.maxwell.syr.edu/directory/andrew-friedman
AI Security Verdict
Low Risk
Confidence: 92%
Site appears legitimate; minor risk due to a flagged external IP lookup service.
Risk Factors
Safety Factors
Details
Page Title
Andrew Friedman, Adjunct Professor
Scan Type
public
Language
English
Category
education
(90%)Domain Information
The domain 'www.maxwell.syr.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www.maxwell'. The second-level label 'syr' is 3 characters long containing 0 vowels alongside three consonants. Segmentation suggests 1 word: syr. Median word length comes out to three characters. The linguistic tilt is Slovak for 'syr'. Usage also turns up in Swedish and Danish contexts. Taken together, it feels Slovak with single-word simplicity.
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 |
|---|---|---|---|
| 59 | 216.58.206.34 | United States | AS15169GOOGLE |
| 1 | 2.18.64.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 146.75.121.140 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 13.32.27.75 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 69.25.199.41 | United States | AS14742INTERNAP-BLOCK-4 |
| 1 | 13.35.58.40 | United States | AS16509AMAZON-02 |
| 1 | 2.18.64.212 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.74.206 | United States | AS15169GOOGLE |
| 1 | 54.165.117.51 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 142 | 84 | - | - |
Detected Technologies18
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
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