Security Scan Report: whatsapp.epikasoftware.com

Submitted: Mar 30, 2026, 5:26:21 AMCompleted: Mar 30, 2026, 5:27:51 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is whatsapp.epikasoftware.com and was registered NaN years ago.

Submitted URL: https://whatsapp.epikasoftware.com/assets/css/lib/fonts/KaTeX_Script-Regular.html

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: '404 Not Found' with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

One moment, please...

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'whatsapp.epikasoftware.com' is registered, featuring subdomain 'whatsapp'. Count 13 characters in 'epikasoftware' containing 6 vowels alongside 7 consonants. Tokenizing the label suggests 3 words: epik, a, software. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://whatsapp.epikasoftware.com/assets/css/lib/fonts/KaTeX_Script-Regular.html

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:267 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2138.128.163.34United States
AS33182HostDime.com, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135F1E9649EE510B4F35203C857EF392D2630F0D77405C699B98C6F98AF4A4CD459BA2F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GXHNsGeTHQpD+da6+8QPUV7lrDyjFrxzMWXa:GXX+/zV7SFZLa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7605:W0AQYEEkqISpBCSrQQBLMBhA4Q4hEysYAogIIEEAoDA8AYMBhjBBAcAEANIHFJWV1CKAwAI8TDSNAMgQSBCJZ4FKBoIQlnIw

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:ffffff81dbffffff
Perceptual Hash:bf2fc0c03f3fc0c0
Difference Hash:0000012323000000
Wavelet Hash:f3f3818100000000
Color Hash:#2dd2b7

Other Hashes

Crop Resistant:0000012323000000

Scan History

Scan history not available

Unable to load historical scan data