Security Scan Report: tclr.se

Redirected to: https://www.tiktok.com/@truecaller.arabic/video/7564396985038474518?utm_campaign=scam_alert&utm_medium=PN&utm_source=TikTok

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Submitted: Jan 31, 2026, 1:07:34 PMCompleted: Jan 31, 2026, 1:09:11 PMpubliccompleted
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Summary

This website contacted 21 IPs in 3 countries across 23 domains to perform 277 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%

0
Risk Score

Legitimate redirect to a TikTok video; no phishing or scam indicators detected.

Safety Factors
Established domain age
Final URL matches legitimate brand (TikTok)
Absence of forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

كيف تتجنب خدع الدعم الفني لجهازك؟ | TikTok

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain name 'tclr.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Its registrable label 'tclr' stretches across 4 characters containing zero vowels alongside four consonants. Word splitting yields 2 words: tc, lr. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tclr.se/4psPHnt

Page Load Overview

15.49s
Total Load Time
344
HTTP Requests
19
Domains
11.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,789 chars
Detector Agreement:60%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%
social media
30%

Detected Features

Search
Articles
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2495.100.158.65United States
16184.86.251.148Sweden
162.16.238.150Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
162.22.50.116Unknown
16184.86.251.146UnknownUnknown
162.16.241.11UnknownUnknown
1623.2.13.35UnknownUnknown
1623.36.162.200UnknownUnknown
162.16.241.10UnknownUnknown
1667.199.248.13UnknownUnknown
34421--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T121949E6F980C983E45A71DCE799EBF093BB4500BA9D08D67DDB94F2C07D1B8261072DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:a6gd/ZYf+i+DTm8K3zP/Q44g5XxlqvIvhQD+:i/ZYf+VIvhQK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:446071:i40JVYQJYbiQAIEgQatk4MELCEmAewGCALDEzKAgaABEJhAIAtYqEgIOUQAEhJLJgACvBgMrCB3TPioMl8ZUAQES0MJ0YcCT

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

Average Hash:ffc7c7c7c7c7c700
Perceptual Hash:b2b04dcecc8cfe0c
Difference Hash:2e9c9c9c9c0d8ef2
Wavelet Hash:ffc7c747c7c70000
Color Hash:#9487c5

Scan History

Scan history not available

Unable to load historical scan data