ScanMalware.com

Security Scan Report: whatsaspp.vercel.app

Redirected to: https://whatsaspp.vercel.app/#1769427139506

Submitted: Jan 26, 2026, 11:32:16 AMCompleted: Jan 26, 2026, 11:33:23 AMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 1 HTTP transaction. The main domain is whatsaspp.vercel.app and was registered NaN years ago.

Submitted URL: https://whatsaspp.vercel.app/

Effective URL: https://whatsaspp.vercel.app/#1769427139506Redirected

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site shows moderate suspicion due to new subdomain and lack of reputation, but no direct malicious activity detected.

Risk Factors
Subdomain on hosting platform with unknown age (potential for new phishing sites)
Unranked domain with no reputation data
Safety Factors
No forms collecting credentials or payment information
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Pic🔞chill🥴video

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(49%)

Domain Information

The domain name 'whatsaspp.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'whatsaspp'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://whatsaspp.vercel.app/

Page Load Overview

0.64s
Total Load Time
17
HTTP Requests
9
Domains
107 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:405 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
49%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.172.247United States
AS13335Cloudflare, Inc.
1142.250.185.73United States
AS15169Google LLC
1172.217.18.3United States
AS15169Google LLC
146.105.222.161Unknown
AS13335
1172.217.208.95United States
AS15169Google LLC
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
164.29.17.67United States
AS16509Amazon.com, Inc.
1146.75.120.193Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1151.101.194.137UnknownUnknown
179--

Detected Technologies4

Vercel
40%
HSTS
40%
jQuery CDN
20%
jQuery
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13482755BA9F3051A2573E0642FBB13097A31D007C64BCD583F9C66D48F89A9AC9B778C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:DskuaEyzyV2VF1qkFgFtF0Hd+BR508ZzaI/X+uy:Qkuab2V8pFgFtF0H0vHaI+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19036:AJMrXEiCCuZqFBSCKAqwNSDlsBIlCKIRIMKbM1ZETAEQIEAQIKIfazOaCFRAEAgW8Vg0iSqIBaQGU5iQBBGo0SgpBdABQgvB

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:000000fff7ff0000
Perceptual Hash:a65959a6a659d926
Difference Hash:0000108ccc10aa00
Wavelet Hash:0000fffff7ff1000
Color Hash:#573a78

Other Hashes

Crop Resistant:0000108ccc10aa00

Scan History

Scan history not available

Unable to load historical scan data