Security Scan Report: setweb-whatsapp.com

Redirected to:
https://setweb-whatsapp.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is setweb-whatsapp.com and was registered 1 week ago.

Submitted URL: http://setweb-whatsapp.com

Effective URL:
https://setweb-whatsapp.com/
Redirected

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Broken error page on a 7-day-old domain whose name impersonates WhatsApp Web; no forms or malware found yet, but the deceptive hostname and fresh registration make it unsafe to trust.

Risk Factors (3)
Deceptive hostname imitating WhatsApp Web on a non-official domain
Domain only 7 days old and entirely unranked
Broken PHP error page revealing infrastructure of an unrelated site (one.deepnets.fyi) on the same server
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'setweb-whatsapp.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 15 characters in 'setweb-whatsapp' with four vowels and 10 consonants; it also includes 1 hyphen. Splitting it apart reveals 5 words: set, web, what, s, app. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://setweb-whatsapp.com

Page Load Overview

2.44s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Text Length:269 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software40% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
40%
news media journalism
34%
government public service
30%
cryptocurrency blockchain
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3156.234.58.211Hong Kong, Hong Kong
AS138415Yancy Limited
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEE026F90634E3F9AC102847B74762CD232342164F8365D83F80C45C1C99CA85C2FA8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxO96En0HHz5UTG5bTJ9SKsdPH4VjVsH5sdPHkT9mIEpkXcsdPH075Kt4qqz:kxPEnuzOGFiPQ5sHiPMmIEpMcAPI5Kt4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:22164f8b84c22c3e3e250b2281aee6a7

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:00ffffffffffffff
Perceptual Hash:ea6a6a6a6a6a4a6a
Difference Hash:9500000000000000
Wavelet Hash:007f0f0f0f0f0f0f
Color Hash:#e0836c

Other Hashes

Crop Resistant:9500000000000000

Scan History

Scan history not available

Unable to load historical scan data