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Security Scan Report: ziad365-8l3zj0im4l.edgeone.app

Submitted: Mar 2, 2026, 7:08:07 AMCompleted: Mar 2, 2026, 7:09:41 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is ziad365-8l3zj0im4l.edgeone.app and was registered NaN years ago.

Submitted URL: https://ziad365-8l3zj0im4l.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 68%

5
Risk Score

The site mimics WhatsApp on a brand‑new edgeone.app subdomain; no credential collection but the impersonation makes it moderately risky.

Risk Factors
Brand impersonation of WhatsApp on a newly created subdomain
Subdomain on a generic hosting platform (edgeone.app)
Critical domain age (brand‑new subdomain)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No network IDS alerts
Domain age information unavailable

Details

Page Title

WhatsApp • التحقق بخطوتين

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

social media network

(91%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ziad365-8l3zj0im4l.edgeone.app' is registered, featuring subdomain 'ziad365-8l3zj0im4l'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Segmentation suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ziad365-8l3zj0im4l.edgeone.app/

Page Load Overview

1.51s
Total Load Time
4
HTTP Requests
2
Domains
20 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:126 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network91% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
91%
adult content
48%
phishing scam
43%
documentation technical
32%
healthcare medical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1104.17.25.14United States
AS13335Cloudflare, Inc.
1104.17.24.14United States
AS13335Cloudflare, Inc.
43--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19902615B97970546BC03A9787FB793412364A427C18DCABA3FCC2318CF8A1D5997A74C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:6xjIJ6YZ5qhdxC7HygCelMPC/FwzBKe9d0cLopc/FEWwpOPGlRoyJ+YW:6p064idZeI4FEBKu0ccpMFBPGlRoyJ9W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8749:DgIDIQALkUyoAlIllIBJUYEDEIGEAA2IMsENdLigAiBigwlHgipDHpMQgQxQEGsVcRSQAvzBbQgcBQAAFGaVEAUgSikAt7AL

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:0000181818180000
Perceptual Hash:cc663399cc6633cc
Difference Hash:0008303232300c00
Wavelet Hash:30303838f8f8f0f0
Color Hash:#d279a7

Other Hashes

Crop Resistant:0008303232300c00

Scan History

Scan history not available

Unable to load historical scan data