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Security Scan Report: 23643net.caishen933.workers.dev

Redirected to:
https://api.whatsapp.com/send/?phone=2347048743031&text&app_absent=0
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Submitted: Jun 17, 2026, 12:24:43 PMCompleted: Jun 17, 2026, 12:41:07 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is api.whatsapp.com and was registered NaN years ago.

Submitted URL: http://23643net.caishen933.workers.dev/

Effective URL: https://api.whatsapp.com/send/?phone=2347048743031&text&app_absent=0Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The page mimics WhatsApp branding but only redirects to the official API without collecting credentials; moderate risk due to brand impersonation and unknown subdomain age.

Risk Factors
Brand impersonation (WhatsApp meta tags on unrelated domain)
Unknown subdomain age on workers.dev
Unranked / low‑reputation domain
High JavaScript obfuscation score
Safety Factors
Final URL points to official api.whatsapp.com endpoint
No forms collecting credentials or payment data
No Indicators of Compromise or IDS alerts detected
No malicious JavaScript patterns matched
Domain age information unavailable

Details

Page Title

Share on WhatsApp

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(83%)

Domain Information

You're looking at domain '23643net.caishen933.workers.dev' on the developer-focused generic top-level domain (.dev) with subdomain '23643net.caishen933'. The second-level label 'workers' is 7 characters long containing 2 vowels alongside five consonants. Word splitting yields 1 word: workers. Expect 7 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://23643net.caishen933.workers.dev/

Page Load Overview

1.98s
Total Load Time
29
HTTP Requests
3
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,777 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
83%
download file sharing
78%
technology software
74%
documentation technical
66%
corporate business
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
14188.114.97.3United States
AS13335Cloudflare, Inc.
292--

Detected Technologies1

Arkose Labs
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB142A729278D935081B27E5C631B315E4AB537FCF9867F0D0A9DF70A686CB8390358A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zefitiYfit9gbteF7/S20T6fiI5zwAPCfBYyrixSA2xQMJd27tjeErzmY0Cz46j1:dmRqfbC5jPWpuypkjvBTmaFMt9Onn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194120:QCYVbFZUAmJehQgoFwABARCCwS1GBkSFQC2CNF4EGGIaWdBqza6MkFGAihsGEKBEsBaBCYEMrqGMCprsqCXEFYoiASIkAoaw

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:ffffffffff000000
Perceptual Hash:e3f442dcd050f2f2
Difference Hash:840c0c0c00c1d1d9
Wavelet Hash:f6efe7e7fe000000
Color Hash:#ac5393

Other Hashes

Crop Resistant:840c0c0c00c1d1d9,4121d9c129d1d1cd

Scan History

Scan history not available

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