Security Scan Report: stack-whatsapp.com

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is stack-whatsapp.com and was registered 6 days ago.

Submitted URL: https://stack-whatsapp.com

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

6-day-old unranked domain whose name borrows 'whatsapp'; the page is only a broken PHP error exposing another domain's path. No forms, no impersonation content, no malware signals — suspicious but unproven.

Risk Factors (3)
Newly registered domain (6 days old) with no reputation
Hostname contains a third-party brand term (whatsapp) with no corresponding legitimate purpose visible
Broken error page revealing backend file paths on an unrelated domain — poorly controlled/throwaway infrastructure
Safety Factors (4)
No login, password or payment forms on the page (verified from captured DOM)
No JavaScript malware patterns and no obfuscated or exfiltrating scripts
No cross-origin credential exfiltration and no third-party script hosts
No network IDS alerts, no Safe Browsing hit and no known phishing kit in the roster
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'stack-whatsapp.com' is registered while skipping any subdomain. Count 14 characters in 'stack-whatsapp' holding 3 vowels versus 10 consonants; it also includes one hyphen. Tokenizing the label suggests four words: stack, what, s, app. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stack-whatsapp.com

Page Load Overview

1.17s
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
2156.234.58.211Hong Kong, Hong Kong
AS138415Yancy Limited
21--

Detected Technologies1

40%

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:#40acbf

Other Hashes

Crop Resistant:9500000000000000

Scan History

Scan history not available

Unable to load historical scan data