Security Scan Report: www.messenger-wapp.vercel.app

Redirected to:
https://messenger-wapp.vercel.app/
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Submitted: Jul 30, 2026, 1:45:52 AMCompleted: Jul 30, 2026, 1:49:38 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is messenger-wapp.vercel.app and was registered NaN years ago.

Submitted URL: http://www.messenger-wapp.vercel.app/

Effective URL: https://messenger-wapp.vercel.app/Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site hosts a login form on an unranked, age‑unknown subdomain, indicating moderate phishing risk.

Risk Factors
Unknown subdomain age
Unranked domain
Credential collection form on a non‑official domain
Domain age information unavailable

Details

Page Title

Messenger Clone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(78%)

Domain Information

You're looking at domain 'www.messenger-wapp.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'www.messenger-wapp'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.messenger-wapp.vercel.app/

Page Load Overview

9.82s
Total Load Time
29
HTTP Requests
3
Domains
2 KB
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:115 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network78% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
78%
technology software
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2964.29.17.3United States
AS16509Amazon.com, Inc.
291--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15352C77E1800ED57ECAA9C0A147DAD3A648DC977CA76CC68F3CCCE540B424B59BD6D84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:53Y2n5wnVYYjYRQYU7uou2gtWsUWnjS9W99KoKJIE53QhnbgnqzcJmzE:5oC5wnM+7uou2gtWfjJXJv53CWz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13763:g4AqAT+KEBgQggmAEWBOJNaJAxCKhDARUACBsIOQHqqkJSBVQBRIHUDB1gGOFQgecElAA5EgGVcJBAFuBiCgAQSDACZIkEgA

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:ffe7e7dfe7e7ffe7
Perceptual Hash:b333cc6699996626
Difference Hash:10084c324d283008
Wavelet Hash:c3c3e3fb031b1b03
Color Hash:#e06cc7

Other Hashes

Crop Resistant:10084c324d283008

Scan History

Scan history not available

Unable to load historical scan data