ScanMalware.com

Security Scan Report: www.comepay-support.vercel.app

Redirected to:
https://comepay-support.vercel.app/
Submitted: Sep 8, 2026, 12:45:14 AMCompleted: Sep 8, 2026, 12:46:33 AMpubliccompleted

Summary

This website contacted 8 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is comepay-support.vercel.app and was registered 10 years ago.

Submitted URL: https://www.comepay-support.vercel.app/

Effective URL: https://comepay-support.vercel.app/Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page hosts a credential‑phishing form impersonating a brand on an unknown‑age subdomain; treat as high‑risk.

Risk Factors
Credential harvesting form
Brand impersonation on unrelated domain
Unranked / unknown‑age subdomain
Phishing indicator from threat‑intel feed
Domain age information unavailable

Details

Page Title

COMEPAY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(34%)

Domain Information

You're looking at domain 'www.comepay-support.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'www.comepay-support'. The core label 'vercel' covers 6 characters containing 2 vowels alongside 4 consonants. Tokenizing the label suggests 2 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://www.comepay-support.vercel.app/

Page Load Overview

9.59s
Total Load Time
7
HTTP Requests
4
Domains
286 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:250 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software34% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
34%
finance banking
32%
government public service
30%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.195United States
AS16509Amazon.com, Inc.
0216.198.79.3United States
AS16509Amazon.com, Inc.
0195.154.239.27Paris, Île-de-France, France
AS12876Scaleway SAS
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.131United States
AS16509Amazon.com, Inc.
0195.154.239.25Paris, Île-de-France, France
AS12876Scaleway SAS
0216.198.79.67United States
AS16509Amazon.com, Inc.
78--

Page Statistics

7
Requests
4
Unique Domains
293.8 KB
Total Size

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EFB285AA3AFB1011698764B62BD747463635C007990ACD583F9C5389CF87F948AB37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:09m6h+k9X/DE+SlCNnwuw+Y98CzLSgUm0bHJZsyoQ4Rbwr57OFuyFUczpJTJuwwa:09yC9gMoQmQKTUF3lFUOqOtHJe8B7eB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24558:gKgQACmgFMcIiITTD5IAeEaUJgNDFRGAHRbJ0TKJ10AqKC7ARkQFEAGOCPBTrWLCIhO00QK3FIRQBABKRACGGRAMoRsEA/hM

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:ffe7e7ffe7e7ffff
Perceptual Hash:b399cc6698996666
Difference Hash:100808324c4d300c
Wavelet Hash:d0c0e0f807070707
Color Hash:#2d8665

Other Hashes

Crop Resistant:100808324c4d300c

Scan History

Scan history not available

Unable to load historical scan data