Summary
This website contacted 6 IPs in 2 countries across 8 domains to perform 1 HTTP transaction. The main domain is nae.edu and was registered NaN years ago.
Submitted URL: https://www.nae.edu/313223/An-Interview-with-Andy-Weir-New-York-Times-bestselling-author-of-The-Martian-Artemis-Project-Hail-Mary-and-Cheshire-Crossing
The Cisco Umbrella rank of the primary domain is #764,031 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 95%
The site hosts a credential‑harvesting form that exfiltrates data via JavaScript, indicating confirmed phishing despite its legitimate‑looking content.
Risk Factors
Safety Factors
Details
Page Title
NAE Website - An Interview with . . . Andy Weir, New York Times bestselling author of The Martian, Artemis, Project Hail Mary, and Cheshire Crossing
Scan Type
public
Language
English
Category
news media journalism
(47%)Domain Information
The domain name 'www.nae.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'www'. Count 3 characters in 'nae' with 2 vowels and 1 consonant. Segmentation suggests one word: nae. Median word length comes out to three 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 |
|---|---|---|---|
| 14 | 184.24.77.154 | United States | |
| 12 | 146.75.121.140 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 12 | 142.251.13.97 | United States | |
| 12 | 104.18.86.42 | United States | AS13335Cloudflare, Inc. |
| 12 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 12 | 40.67.142.161 | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 74 | 6 | - | - |
Detected Technologies10
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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