ScanMalware.com

Security Scan Report: coop-shop-next-jld7wvrxk-co-op-food-customer-experience.vercel.app

Redirected to: https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fcoop-shop-next-jld7wvrxk-co-op-food-customer-experience.vercel.app%252F%26nonce%3D765c92e272c5270d82a38ad3b693aa2e9d58b6fac5be647be2ca9dd23c1ea51c

Site favicon
Submitted: Dec 31, 2025, 8:47:03 PMCompleted: Dec 31, 2025, 8:48:20 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 1 country across 4 domains to perform 132 HTTP transactions. The main domain is vercel.com and was registered NaN years ago.

Submitted URL: https://coop-shop-next-jld7wvrxk-co-op-food-customer-experience.vercel.app

Effective URL: https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fcoop-shop-next-jld7wvrxk-co-op-food-customer-experience.vercel.app%252F%26nonce%3D765c92e272c5270d82a38ad3b693aa2e9d58b6fac5be647be2ca9dd23c1ea51cRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Vercel login page; no security concerns detected.

Safety Factors
Brand verification passes: final destination matches Vercel
Standard authentication flow with trusted providers
Domain age information unavailable

Details

Page Title

Login – Vercel

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

Domain 'coop-shop-next-jld7wvrxk-co-op-food-customer-experience.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'coop-shop-next-jld7wvrxk-co-op-food-customer-experience'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://coop-shop-next-jld7wvrxk-co-op-food-customer-experience.vercel.app

Page Load Overview

8.04s
Total Load Time
198
HTTP Requests
5
Domains
1.8 MB
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-US
Text Length:233 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
70%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
42108.177.15.84United States
AS15169GOOGLE
39198.169.1.129United States
AS16509AMAZON-02
3964.29.17.67United States
AS16509AMAZON-02
39198.169.1.65United States
AS16509AMAZON-02
3934.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1985--

Detected Technologies5

Kasada
45%
Vercel
40%
HSTS
40%
Sift
20%
Google Sign-in
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD34C83FE829DF851A5AFDB8912D2EBEC458CB3FC0B01E09A3DDE68740914351BDA546

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jgflSwOC5esCqzpCCY5HvLheQ1GMYOQad/s:jgfAwOC5esCqzpCCY5HvLheQ4Fxad0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:241252:UAqCVdIKMAAgJaCB4cAxrcI+CSJAnFPgIyyA8AQGCah1kCEBANMAZhNCEIBIQYahYgAgGwu6cOIUAOukFGhIQGFAh8PBQ1qF

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:ffffe7e7ffe7ffff
Perceptual Hash:b3228ccccc337673
Difference Hash:88284d4c280c0800
Wavelet Hash:0203030307070707
Color Hash:#d2a979

Other Hashes

Crop Resistant:88284d4c280c0800

Scan History

Scan history not available

Unable to load historical scan data