Security Scan Report: whatsomar.download

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Submitted: Completed: publiccompleted
This website contacted 15 IPs in 1 country across 9 domains to perform 57 HTTP transactions. The main domain is whatsomar.download and was registered 3 years 2 months ago.

Submitted URL: https://whatsomar.download/

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Unofficial site using the WhatsApp brand to push a 'WhatsApp Omar' modded APK advertised as ban-proof. No credential phishing or malware hit, but unverified APK distribution and brand misuse make it high-risk.

Risk Factors (4)
Use of Meta/WhatsApp brand and product naming on a non-official domain to drive APK downloads
Distribution of a modified messaging app that explicitly claims to bypass account bans
Unverified APK binaries offered for direct download (possible malware/PUP vector)
Download portal with likely affiliate/ad monetization and no transparency about the file's origin or integrity
Safety Factors (5)
No password, payment, or credential-harvesting fields detected in the verified form facts
No Indicators of Compromise, hunting rule malware matches, Safe Browsing hits, or IDS alerts in this scan
Forms present are a site search box and a standard comment/review form
No cross-origin credential exfiltration or obfuscated malicious JavaScript detected
Established domain (1152 days old) with no strong malicious indicators — risk clamped from 7 to 5
Domain age information unavailable

Details

Page Title

تحميل واتساب عمر اخر تحديث 2026 | download obwhatsapp

Scan Type

public

Domain Name Analysis

Domain 'whatsomar.download' uses the .download top-level domain with no subdomain. The second-level label 'whatsomar' is 9 characters long containing three vowels alongside six consonants. It segments into three words: what, s, omar. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

الرئيسية < وتس اب ‎jar‏ > تحميل واتساب عمر آخر تحديث 2026 | ‎download obwhatsapp‏ تحميل واتساب ‎joc‏ اخر تحديث 2026 | ‎download obwhatsapp‏ واتس اب ‎jac‏ ‏وتساب عمر تحديث ‎apk‏ ضد الحظر تحميل تحديث و...

Page Load Overview

2.29s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ar
Text Length:34,351 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
50%
social media network
40%
corporate
35%
adult content
28%
phishing/scam
20%

Detected Features

Search
Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15172.67.130.87Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.110.155Google · CDNUnited States
AS15169Google LLC
3142.251.20.97Google · CDNUnited States
AS15169Google LLC
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
3142.251.14.157Google · CDNUnited States
AS15169Google LLC
3192.178.183.132Google · CDNUnited States
AS15169Google LLC
3104.21.7.165Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.110.154Google · CDNUnited States
AS15169Google LLC
3142.251.110.157Google · CDNUnited States
AS15169Google LLC
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
5715--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T199F382A30A2680346627CE5FD0E3769DE532BD23E303FCA574935621D5CBD63A21E639

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:BlH0H6a6YLbwfnvmTm4/YbQczbqB17sqg+AurwBAuKEFUPa+3JMr6s+yLnN7i2dn:B10PwOjrK+BsvKmUCy26cc14SkEnr/zW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:158037:nAzYiEdALMMAPg4DIkAFABeDSkLiAYRlShwFkOFIAAA6FFoS4RIZmuFxhhnsUEOHgASRAAHAADsIsJCOiAiCAXwQjkQAAgwm

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:00ffff999fffff7f
Perceptual Hash:ce6363436f634343
Difference Hash:d422d42321c0e4c3
Wavelet Hash:00091d119dffff61
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data