ScanMalware.com

Security Scan Report: ionos-gamma-wine.vercel.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/76cc1f23-24b6-4e19-a380-6a1503ae5e93Domain and IP registration (RDAP)/api/v1/rdap/76cc1f23-24b6-4e19-a380-6a1503ae5e93How often this domain was scanned/api/v1/domain/stats/ionos-gamma-wine.vercel.appScan history for this domain/api/v1/domain/history/ionos-gamma-wine.vercel.app?limit=15
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://ionos-gamma-wine.vercel.app/

AI Security Verdict

Low Risk

Confidence: 74%

2
Risk Score

Dead Vercel deployment returning a standard 404 page: no forms, no brand impersonation, no malware or threat-intel hits. The IDS alerts only flag vercel.app as a commonly abused platform generically.

Risk Factors (2)
Unreachable/empty deployment on a shared hosting platform where subdomain creation date is not attributable to the apex
Subdomain label references a third-party hosting brand ('ionos') with no corresponding content
Safety Factors (4)
No forms, credential fields, or payment collection
No malware, obfuscated JavaScript, or network exfiltration signals
No impersonation of any brand in page title, text, or visible content
No Indicators of Compromise against the page or its resources
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

You're looking at domain 'ionos-gamma-wine.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ionos-gamma-wine'. The core label 'vercel' covers 6 characters containing 2 vowels alongside four consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

This page doesn’t exist It may have been moved, removed, or never existed. 404 DEPLOYMENT_NOT_FOUND arni: :61shx-1794438289588-24e30e9Cd286 VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.36s
Total Load Time
20 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
55%
news media journalism
32%
government public service
29%
healthcare medical
29%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies3

Vercel
40%
HSTS
40%
Sift
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122D2D07371952A3DF223CC22489BE01C387DD05BED076B8BAA1996F0D9DB5D1163BD82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:HE+rfPXBcAFmvgTd/4+LLLTx/7nNmzD41jjaocIm:HEgfPLLftn8QpaD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30643:A8CAwwBrCBCGJFQWZF4ABM2yNUNYRZApzk1AegpKKQpJRGAhopTDoMYCKwCAAAiOgoKNEqhJmASACIMFUhAgTEiwQAzwgAjG

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:ffffffe7e7ffffe7
Perceptual Hash:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:c0c0d0c0e4fcfce4
Color Hash:07000000000

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data