Security Scan Report: tecel-ksf.top

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Submitted: Feb 14, 2026, 9:37:51 AMCompleted: Feb 14, 2026, 9:39:23 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is tecel-ksf.top and was registered NaN years ago.

Submitted URL: http://tecel-ksf.top/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

New, unranked site shows no malicious activity; low risk but monitor due to age.

Risk Factors
Brand‑new domain (age < 7 days)
Unranked domain (not in Cisco Umbrella top 1M)
Server error page – no content retrieved
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware patterns
No external domains linked
Domain age information unavailable

Details

Page Title

tecel-ksf.top

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

Within the .top top-level domain, 'tecel-ksf.top' is registered without a subdomain. The core label 'tecel-ksf' covers 9 characters holding 2 vowels versus 6 consonants, along with 1 hyphen. It segments into four words: tec, el, k, sf. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://tecel-ksf.top/

Page Load Overview

8.10s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:735 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
57%
adult content
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.157.33.105Frankfurt am Main, Hesse, Germany
AS132203Tencent Building, Kejizhongyi Avenue
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DAC08CB7C021890FAB3026F8C9827894AF08920DC1321E44B6D0E2A6F448EEB848329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYaXEQoqa:qzxV/5VHHoB96D3ne1k9Ycw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:348fc553335bda82dffebf49122dd182

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:7fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#3a5f78

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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