Security Scan Report: tecel-rgf.top

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Submitted: Feb 15, 2026, 10:24:52 PMCompleted: Feb 15, 2026, 10:26:14 PMpubliccompleted
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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-rgf.top and was registered NaN years ago.

Submitted URL: https://tecel-rgf.top/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

New domain with no malicious indicators; low risk but monitor.

Safety Factors
No malicious Indicators of Compromise matches
No credential or payment forms present
No JavaScript malware detected
No external domains linked
No redirects observed
Domain age information unavailable

Details

Page Title

tecel-rgf.top

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(58%)

Domain Information

The domain name 'tecel-rgf.top' uses the .top top-level domain with no subdomain. The second-level label 'tecel-rgf' is 9 characters long split between 2 vowels and 6 consonants, along with 1 hyphen. Word splitting yields 4 words: tec, el, r, gf. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tecel-rgf.top/

Page Load Overview

1.89s
Total Load Time
1
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:159 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
49%
healthcare medical
48%
government public service
45%
technology software
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.157.33.105Frankfurt am Main, Hesse, Germany
AS132203Tencent Building, Kejizhongyi Avenue
11--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsze2bMy8Oldi:WhoC9JSqzzbs6o3Sj3gcrsa2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184456:FAEwDE0hnEmJo0R0MOBAgtYAK5AAwMcAERggVXAS90sAiAlGahAshQPJVj0ANjADADDAAABIJXCAcBySAgiTAwaZ6WCRwQSp

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#934e1f

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data