Summary
This website contacted 20 IPs in 2 countries across 22 domains to perform 284 HTTP transactions. The main domain is tiktok.com and was registered NaN years ago.
Submitted URL: https://tclr.se/4psPHnt
Effective URL: https://www.tiktok.com/@truecaller.arabic/video/7564396985038474518?utm_campaign=scam_alert&utm_medium=PN&utm_source=TikTokRedirected
AI Security Verdict
Safe Website
Confidence: 95%
Redirect points to a legitimate TikTok video; no phishing or scam activity detected.
Safety Factors
Details
Page Title
كيف تتجنب خدع الدعم الفني لجهازك؟ | TikTok
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain 'tclr.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'tclr' spans 4 characters split between 0 vowels and 4 consonants. Word splitting yields 2 words: tc, lr. Median word length is 2 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 |
|---|---|---|---|
| 30 | 67.199.248.13 | Germany | |
| 17 | 2.16.241.13 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 146.75.122.73 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 17 | 23.36.162.216 | Germany | |
| 17 | 2.16.238.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 2.16.241.9 | Germany | Unknown |
| 17 | 2.16.241.8 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 2.16.241.15 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 71.18.240.1 | United States | AS396986Bytedance Inc. |
| 17 | 23.36.163.18 | Germany | Unknown |
| 353 | 20 | - | - |
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
Scan history not available
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