Security Scan Report: appletex.lk

Submitted: Mar 15, 2026, 6:24:07 PMCompleted: Mar 15, 2026, 6:25:55 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is appletex.lk.

Submitted URL: https://appletex.lk/contact-us/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate contact page for Apple Tex (pvt) ltd; no phishing or malware indicators detected.

Safety Factors
Contact page for a legitimate business (Apple Tex Pvt Ltd)
Standard contact forms with email fields only
No suspicious JavaScript or obfuscation detected
No redirects or cross‑origin credential submissions
Domain age information unavailable

Details

Page Title

Contact us | Apple Tex (pvt) ltd

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(40%)

Domain Information

The domain name 'appletex.lk' uses the Sri Lankan country-code top-level domain (.lk). Its registrable label 'appletex' stretches across 8 characters holding three vowels versus five consonants. Word splitting yields 2 words: apple, tex. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appletex.lk/contact-us/

Page Load Overview

35.81s
Total Load Time
34
HTTP Requests
2
Domains
557 KB
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-US
Text Length:1,550 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network40% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
40%
corporate
35%
e-commerce shopping
32%
government public service
26%
documentation technical
26%

Detected Features

Login Form
Search
Products
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
1792.113.23.10Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
342--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12FB3EAB2B6251437135F55EF9067331C7192E29BDE82A9D0F5FCAAA857F4DA03392308

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:EW+yyph7caB1Gg9H2Bqged/jOtl6ZH7QNmh+sEf/FowtuU2otrrd:EWm5KhltwU2O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115943:AAZSElCZVicC+RHKjCgQEQlkQBHMCoMRYBBYi6BkkGBNBDKCAXwJelIBckhCCrKiCwQBgAOgAAAEBCRAMK1NhCCBEBnTICYK

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:00ffffffffffffff
Perceptual Hash:ff552a2a7c28243d
Difference Hash:2300804041414141
Wavelet Hash:00ffffff81818181
Color Hash:#79a4d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data