Security Scan Report: cors-whatsapp.com

Redirected to:
https://cors-whatsapp.com/
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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is cors-whatsapp.com and was registered 4 weeks ago.

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

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

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Broken error page on a 6-day-old, unranked domain whose hostname borrows the WhatsApp name; no forms, no impersonation, no malware. Only generic abuse-reputation tags — moderate risk, avoid interacting.

Risk Factors (3)
Brand name (WhatsApp) embedded in the hostname of a 6-day-old domain with no legitimate site behind it
Site returns only a PHP fatal error exposing internal hosting paths — abandoned or hastily deployed throwaway infrastructure
Unranked domain (not in Cisco Umbrella top 1M)
Safety Factors (4)
No credential, login or payment forms present (verified form facts: 0 total forms)
No brand impersonation displayed in page content; no impersonated brand identified
No hunting rule malware matches, no IDS alerts, no credential exfiltration or cross-origin form posts
Threat-intel hits are generic outbound-abuse reputation tags from a single unverified source
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'cors-whatsapp.com' is registered with no subdomain. Count 13 characters in 'cors-whatsapp' holding 3 vowels versus nine consonants, along with one hyphen. It segments into 5 words: cor, s, what, s, app. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Fatal error: Uncaught Error: Call to a member function execute() on boo! in Avww/wwwroot/one.deepnets.fyi/index.php:520 Stack trace: #0 /www/wwwroot/one.deepnets.fyi/index.php(895): {closure}() #1 {ma...

Page Load Overview

3.23s
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:N/A

Other Hashes

Crop Resistant:9500000000000000

Scan History

Scan history not available

Unable to load historical scan data