Summary
This website contacted 16 IPs in 2 countries across 4 domains to perform 58 HTTP transactions. The main domain is tiktok.com and was registered NaN years ago.
Submitted URL: https://www.tiktok.com/@studentum.se?utm_source=user.com&utm_medium=nyhetsbrev&utm_campaign=tiktoknyhetsbrev&utm_source=user.com&utm_medium=email&utm_campaign=nyhetsbrev-oktober-2025&__ca__chat=11zjixs0difj
The Cisco Umbrella rank of the primary domain is #573 of the top 1 million websitesTop 1K Site
AI Security Verdict
Safe Website
Confidence: 85%
Page appears legitimate; minor risk due to a linked suspicious external domain.
Risk Factors
Safety Factors
Details
Page Title
TikTok - Make Your Day
Scan Type
public
Language
English
Category
social media
(30%)Domain Information
You're looking at domain 'www.tiktok.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'tiktok' spans 6 characters split between two vowels and four consonants. Segmentation suggests 2 words: tik, tok. Median word length comes out to three characters. 'tik' most often appears in Lithuanian. Secondary signals appear in Norwegian and Slovenian.
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 |
|---|---|---|---|
| 13 | 2.16.10.151 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 71.18.240.1 | United States | AS396986BYTEDANCE |
| 3 | 23.55.110.76 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.55.110.67 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2.18.64.213 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2.18.64.218 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2.16.10.157 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2.16.10.149 | United States | Unknown |
| 3 | 2a02:26f0:1700:d::1737:6e99 | United States | Unknown |
| 3 | 2.16.10.154 | United States | Unknown |
| 58 | 16 | - | - |
Detected Technologies4
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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