Security Scan Report: whatsapp-inbox-zoomqs.com.ph

Redirected to:
https://whatsapp-inbox-zoomqs.com.ph/
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 3 domains to perform 5 HTTP transactions. The main domain is whatsapp-inbox-zoomqs.com.ph.

Submitted URL: http://whatsapp-inbox-zoomqs.com.ph/

Effective URL:
https://whatsapp-inbox-zoomqs.com.ph/
Redirected

AI Security Verdict

Low Risk

Confidence: 60%

5
Risk Score

Heuristic analysis (AI unavailable): Standard risk profile

Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Domain Name Analysis

You're looking at domain 'whatsapp-inbox-zoomqs.com.ph' on the Philippine country-code top-level domain (.com.ph). The registrable portion 'whatsapp-inbox-zoomqs' spans 21 characters split between 6 vowels and 13 consonants, plus 2 hyphens. Word splitting yields seven words: what, s, app, in, box, zoom, qs. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://whatsapp-inbox-zoomqs.com.ph/

Page Load Overview

0.68s
Total Load Time
18 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:100 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software59% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
59%
documentation technical
52%
government public service
48%
healthcare medical
46%
cryptocurrency blockchain
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.234.216.100Chicago, Illinois, United States
AS63949Akamai Connected Cloud
145.79.222.138Atlanta, Georgia, United States
AS63949Akamai Connected Cloud
1172.232.7.47Chicago, Illinois, United States
AS63949Akamai Connected Cloud
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124A1E87577867028ABE611E7A17BA71C363E4251380A4022D7ADFCD13C2195B90A7F96

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nIzJBd5pAJ9/OEeg2J9LCBCfq/0CqR4oDt/EykC4pyBGbjfq97BoL:IzJBd5pAKEj8qCfY0hBb34hjfAyL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4853:qgAgIBKE0QTKAIhCUAhQBIAUboAhigGADAAAAAEBAgASJUIkA4WFAAoQIwIiMTAoFCDAIAcIIVQBUAYhAKMIlBERhQAQAAAA

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:8100013d3d8101ff
Perceptual Hash:aa2af42cdf03f42c
Difference Hash:4555156971154141
Wavelet Hash:ff0101bd998181ff
Color Hash:#937e1f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data