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

Submitted: Sep 30, 2026, 4:54:43 PMCompleted: Sep 30, 2026, 4:55:16 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

1
Risk Score

Dead Vercel 404 deployment page: no forms, no branding, no malware or Indicators of Compromise. The vercel.app abuse alerts are platform-wide reputation noise, not page evidence.

Safety Factors (4)
No credential, login, or payment form present anywhere on the page
No brand impersonation — the page displays no company branding and title is a generic error code
No malware, obfuscated JavaScript, cross-origin credential exfiltration, or third-party script hosts
No Indicators of Compromise or safe-browsing style threat hits against the page or its resources
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'ionos-gamma-wine.vercel.app' is registered and includes subdomain 'ionos-gamma-wine'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ionos-gamma-wine.vercel.app/

Page Load Overview

0.13s
Total Load Time
3 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 technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
31%
government public service
31%
healthcare medical
30%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177F1D99170613A3EF2338922189B511D313CE007FD275ECA998A95F09ADE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYjy5VG7XOuT24gEcy5m:WuGh84BFy571ebWXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7956:4RcQAghhIQ4JAgAE0VYIjEm4gMWPYJRBDACQoCB7IFkACMLPzGHlwFGEGIoCAgGXggKAiAYGAmJvEAQQwkIdEgASQKahkRBT

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:fcfcfce420303c24
Color Hash:#331f93

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data