Security Scan Report: shamcash-mu.vercel.app

Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 3 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://shamcash-mu.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake WhatsApp activation page on a vercel.app subdomain harvesting phone numbers and exfiltrating them via an embedded Telegram bot token; confirmed by Safe Browsing and two phishing feeds.

Risk Factors (7)
Impersonation of WhatsApp brand on a domain it does not own
Telegram bot token in page JavaScript — direct exfiltration channel for harvested data
Credential/data harvesting form soliciting phone numbers under false pretenses
Multi-source corroborated phishing threat-intel match on the primary domain
Google Safe Browsing Social Engineering detection
Hosted on abuse-prone free platform subdomain (vercel.app) with unknown actual creation date
Deceptive messaging ('your WhatsApp account will be activated in 30 minutes', 'device not supported') to pressure victims
Domain age information unavailable

Details

Page Title

WhatsApp

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'shamcash-mu.vercel.app' is registered; it also runs on subdomain 'shamcash-mu'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. Segmentation suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

608 وتقتهد 6 سيتم تفعيل حسابك على واتساب خلال 30 دقيقة رقم الهاتف /63هد 22 | شروط الخدمة ‎٠‏ سياسة الخصوصية

Page Load Overview

0.40s
Total Load Time
185 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

HTML Lang Attribute:ar
Text Length:559 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network79% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
79%
technology software
43%
phishing scam
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
55--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11403C8AE15B310326953E4BEA7D722192533D413960EED493FCD43144FC2749AB62BED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hAfxbv8U+os1ERap2ufheMEvvdZq598OGof+NGGapvdRHVw2AjMoHE:hAfxbvOUabCof+NGGat1ANE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39229:LIyFQASGgkUAFgKAIOAlCAESIACNBkwM6ACYwBDGN4AUJSQ5AgqWQCuAdMBAClRGiAU4Dm655VgYC4EIjEANBCwFAGFICgAK

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:00ffffffff00ffff
Perceptual Hash:e2715d6a62773e08
Difference Hash:1390080889550800
Wavelet Hash:00ff27270000c0d0
Color Hash:06000000e00

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data