Summary
This website contacted 16 IPs in 2 countries across 18 domains to perform 253 HTTP transactions. The main domain is tiktok.com and was registered NaN years ago.
Submitted URL: https://www.tiktok.com/@blueberrycollegeuni
The Cisco Umbrella rank of the primary domain is #506 of the top 1 million websitesTop 1K Site
AI Security Verdict
Safe Website
Confidence: 98%
TikTok profile appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Blueberry.nu (@blueberrycollegeuni) | TikTok
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
Domain 'www.tiktok.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'tiktok' spans 6 characters containing two vowels alongside 4 consonants. It segments into 2 words: tik, tok. Median word length is 3 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 |
|---|---|---|---|
| 34 | 23.36.162.25 | United States | |
| 19 | 23.36.163.35 | United States | |
| 19 | 2.16.10.92 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 19 | 2.20.245.168 | United States | Unknown |
| 19 | 2.20.245.165 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 19 | 23.50.131.217 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 19 | 2.20.245.167 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 19 | 146.75.122.73 | United States | Unknown |
| 19 | 2.16.10.184 | United States | Unknown |
| 19 | 2.19.126.80 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 319 | 16 | - | - |
Detected Technologies5
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
Scan History
Scan history not available
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