Summary
This website contacted 194 IPs in 6 countries across 64 domains to perform 196 HTTP transactions. The main domain is stjohns.edu and was registered NaN years ago.
Submitted URL: https://www.stjohns.edu/news-media/johnnies-blog/day-life-cybersecurity-analyst-career
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university blog with no security concerns.
Safety Factors
Details
Page Title
A Day in the Life of a Cybersecurity Analyst: St. John’s Alum Story
Scan Type
public
Language
English
Category
education
(90%)Domain Information
You're looking at domain 'www.stjohns.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'www'. Count 7 characters in 'stjohns' containing 1 vowel alongside 6 consonants. Segmentation suggests 2 words: st, johns. The median word length lands at 3.5 characters. 'st' most strongly signals Swedish. Secondary signals appear in Estonian and Icelandic.
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 |
|---|---|---|---|
| 27 | 104.18.26.61 | United States | AS13335CLOUDFLARENET |
| 17 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 14 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 11 | 142.250.181.232 | United States | AS15169GOOGLE |
| 11 | 23.53.43.155 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 34.199.234.25 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 6 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 98.94.170.229 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 143.204.98.56 | United States | AS16509AMAZON-02 |
| 196 | 194 | - | - |
Detected Technologies29
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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