ScanMalware.com

Security Scan Report: j7cw7grb3t-5d9d8f5a36.vercel.app

Site favicon
Submitted: Aug 30, 2026, 3:45:18 AMCompleted: Aug 30, 2026, 3:48:07 AMpubliccompleted

Summary

This website contacted 10 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is j7cw7grb3t-5d9d8f5a36.vercel.app and was registered 6 years ago.

Submitted URL: https://j7cw7grb3t-5d9d8f5a36.vercel.app/facebook-page-manager-1439711144807359.html

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

The page impersonates Meta without collecting credentials; moderate risk due to brand misuse on an unknown-age subdomain.

Risk Factors
Brand impersonation of Meta on an unranked hosting subdomain
Unknown creation date of the subdomain
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

adult content

(68%)

Domain Information

You're looking at domain 'j7cw7grb3t-5d9d8f5a36.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'j7cw7grb3t-5d9d8f5a36'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 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

Security scan screenshot of https://j7cw7grb3t-5d9d8f5a36.vercel.app/facebook-page-manager-1439711144807359.html

Page Load Overview

17.18s
Total Load Time
23
HTTP Requests
6
Domains
274 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:1,469 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
68%
government public service
60%
blog personal website
50%
social media network
50%
news media journalism
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.67United States
AS16509Amazon.com, Inc.
2104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.195United States
AS16509Amazon.com, Inc.
2104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2159.89.102.253Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
2216.198.79.195United States
AS16509Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2310--

Page Statistics

23
Requests
6
Unique Domains
452.6 KB
Total Size

Detected Technologies6

Cloudflare
50%
Vercel
40%
HSTS
40%
Tailwind CSS
30%
jsDelivr
20%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C801DD8F04D0941A1250A255F8E6B029CC8B452F4AA84E52BCF815385FE86A994EB89D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRjyLqAc2SJS+pRQcclboZPDFP2OL/xLhVG:hRjOqftJ9RbcNgDFuGhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:658:AAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAIBBAAAAAAAAAAAAAAAAAAACAACAAAAAAAAgDgAAAAAAAAAAAAAAAAAAAAgAA

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:c7c7c3c3e7ffffff
Perceptual Hash:b37198ce269cccc6
Difference Hash:9c9f9f8e4d324dca
Wavelet Hash:c4c0c1c3c70f1f3f
Color Hash:#c587a3

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data