Security Scan Report: www.unifelix.com

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Submitted: Feb 19, 2026, 10:42:27 AMCompleted: Feb 19, 2026, 10:44:09 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 unifelix.com and was registered NaN years ago.

Submitted URL: https://www.unifelix.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain registration date (2018‑06‑22)
No credential or payment collection forms
No malicious Indicators of Compromise
No brand impersonation in meta tags or page content
No suspicious JavaScript or redirects
Domain age information unavailable

Details

Page Title

www.unifelix.com

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

corporate business

(96%)

Domain Information

You're looking at domain 'www.unifelix.com' on the commercial generic top-level domain (.com) with subdomain 'www'. Count 8 characters in 'unifelix' containing 4 vowels alongside 4 consonants. Segmentation suggests two words: uni, felix. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.unifelix.com/

Page Load Overview

26.37s
Total Load Time
60
HTTP Requests
5
Domains
3.7 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
Text Length:1,507 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
96%
news media journalism
92%
adult content
81%
blog personal website
77%
government public service
76%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6043.129.25.86Hong Kong, Hong Kong
AS132203Tencent Building, Kejizhongyi Avenue
601--

Detected Technologies3

JQueryv1.7.2
100%
40%
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8Olda:uhoC9JSqzzbs6o3Sj3gcrsI2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184471:fOjhmgSgBCAQOEaAYILmcDwgcAiGyiIWBIYFECEKKNRECZFAuAXJAA7BGQqoASJgFKCAAhEFADnRoTUISAkgCXLMwMEEyeJo

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:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#40bfa8

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data