Security Scan Report: gmbrmotchecks.vercel.app

Submitted: Completed: publiccompleted
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://gmbrmotchecks.vercel.app/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Dead Vercel subdomain returning a platform 404 (DEPLOYMENT_NOT_FOUND). No forms, no malware patterns, no Indicators of Compromise, no brand impersonation; only generic hosting-namespace abuse alerts. No interaction risk.

Risk Factors (3)
Free instant-subdomain host (.vercel.app) where the actual page creation date is unknown and could be minutes old
Unranked in Cisco Umbrella with no reputation history
Subdomain name 'gmbrmotchecks' is opaque and offers no clear ownership or purpose disclosure
Safety Factors (4)
No forms, no credential fields, no payment fields anywhere on the page
No malicious YARA patterns, no known-kit roster match, no threat-intel Indicators of Compromise
Static platform error page with no user-input surface and no external domains contacted
No impersonation of another organisation's brand or styling
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'gmbrmotchecks.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'gmbrmotchecks'. The registrable portion 'vercel' spans 6 characters with 2 vowels and four consonants. Segmentation suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gmbrmotchecks.vercel.app/

Page Load Overview

0.29s
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 technical62% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
62%
technology software
38%
news media journalism
35%
government public service
33%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1F1EA9170613A3EF2378962189B511D313CE006ED275ECA998A85F09ADE5E33A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYj55eA7XOuT24gEcy5m:SuGh84BFy571l0kXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCaKQEWxAJxEgyLBAY4tBEBahRBJAzgYiEGGECjAGTIIAIoiCgeNBiLAMESIgEQyfCEAhkTFRSkEBAGCZAG4

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:3c3c3c24070f0f07
Color Hash:#931f3c

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data