Summary
This website contacted 23 IPs in 2 countries across 8 domains to perform 100 HTTP transactions. The main domain is as.virginia.edu and was registered NaN years ago.
Submitted URL: https://as.virginia.edu/faculty-profile/daniel-driscoll
The Cisco Umbrella rank of the primary domain is #58,480 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university faculty page with no security concerns.
Safety Factors
Details
Page Title
Daniel Driscoll | College and Graduate School of Arts and Sciences, University of Virginia
Scan Type
public
Domain Information
Within the sponsored educational top-level domain (.edu), 'as.virginia.edu' is registered, featuring subdomain 'as'. The registrable portion 'virginia' spans 8 characters holding four vowels versus four consonants. Breaking it apart gives one word: virginia. Expect 8 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 66 | 23.185.0.2 | United States | AS54113FASTLY |
| 11 | 216.239.34.36 | United States | AS15169GOOGLE |
| 9 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 142.250.185.168 | United States | AS15169GOOGLE |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 4 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2a00:1450:4001:82a::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 100 | 23 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
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