Security Scan Report: omarym.app

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Submitted: Completed: publiccompleted
This website contacted 11 IPs in 1 country across 7 domains to perform 38 HTTP transactions. The main domain is omarym.app and was registered 3 years 2 months ago.

Submitted URL: https://omarym.app/

The Cisco Umbrella rank of the primary domain is #854,906 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 65%

6
Risk Score

Unofficial APK site distributing modified 'WhatsApp Omar' builds and advertising ban-bypass versions. No phishing, payment or malware evidence in the scan, but sideloading unverified modified apps is risky.

Risk Factors (3)
Distributes modified/unofficial WhatsApp APKs from an unverified, low-reputation domain instead of an app store
Advertises 'anti-ban' modified clients that bypass the legitimate app's restrictions
Page presents itself as the 'official' source for these modified builds without any verifiable publisher identity
Safety Factors (5)
No credential-harvesting or payment form present (search form only)
No threat-intelligence matches against the page or its loaded resources
No JavaScript malware patterns or obfuscated/credential-exfiltrating scripts detected
No network IDS alerts and no known malicious kit in the roster
Page text does not attempt to instruct or manipulate automated reviewers
Domain age information unavailable

Details

Page Title

الموقع الرسمي لتحديثات عمر واتس اب 2024 احدث الإصدارات وأكثرها اماناً

Scan Type

public

Domain Name Analysis

The domain 'omarym.app' uses the application-focused generic top-level domain (.app) without a subdomain. The core label 'omarym' covers 6 characters split between two vowels and four consonants. Word splitting yields three words: o, mary, m. Expect one character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

واتساب واتساب عمر واتساب عمر واتساب عمر واتساب عمر واتساب عمر عمر العنابي الوردي ‎aul‏ الاخضر الذهبي إن اسم التطبيق لحكل ‎fae will)‏ إل اسار 72026للزاتووواني 2023092 اخترنا لكم : تطبيقات واتساب عم...

Page Load Overview

5.84s
Total Load Time
837 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ar
Text Length:1,464 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
85%
technology software
54%
blog personal website
43%
cryptocurrency blockchain
41%
healthcare medical
39%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.67.130.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.21.3.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.20.97Google · CDNUnited States
AS15169Google LLC
3192.178.183.155Google · CDNUnited States
AS15169Google LLC
3192.178.183.156Google · CDNUnited States
AS15169Google LLC
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3192.178.183.157Google · CDNUnited States
AS15169Google LLC
3142.251.13.156Google · CDNUnited States
AS15169Google LLC
3142.251.127.132Google · CDNUnited States
AS15169Google LLC
3142.251.13.155Google · CDNUnited States
AS15169Google LLC
3811--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2A3D6629B81103CF577C62EB896778EB620D817D2535DFEB85ED279C7CB8631232209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wnWHt/fHSXYWfcwCHs1vtv+Bl4BffqmMdols0BXLcQbO+BEfEtQk186GLbgtnvm/:IffqmMdols0BXLo+BEfEtQkmg5L6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107385:ViyM3gI8YB00cE8ag8ACgO2COAmaUAAVJKGgLAkkAFIMFpAYIICAyBYZuAAsZADEAAYIhgp8yoNSGN1laMB6SOC3NQaBERCb

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:eb838383fffbffff
Perceptual Hash:ed3dc3c34234c7c2
Difference Hash:4b123637b3c3c9cb
Wavelet Hash:00818381f9f9fded
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data