Security Scan Report: bmbrmotchecks.vercel.app

Submitted: Sep 29, 2026, 1:50:25 PMCompleted: Sep 29, 2026, 1:51:00 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 78%

1
Risk Score

Generic Vercel 404 'deployment not found' page with no forms, no malware, and no Indicators of Compromise. Only IDS signals are generic cloud-hosting abuse reputation tags, which are not content evidence.

Safety Factors (4)
No credential or payment forms of any kind
No brand impersonation or self-branding claims
No Indicators of Compromise, YARA, or Safe Browsing hits
Static 404 error page with no executable or data-collecting content
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'bmbrmotchecks.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'bmbrmotchecks'. The registrable portion 'vercel' spans 6 characters with two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.87s
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 technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
healthcare medical
45%
news media journalism
33%
government public service
33%
cryptocurrency blockchain
31%

Detected Features

No structural features detected

Domain & IP Information

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

T13EF1EA9170613A3EF2338962189B511D313CE007ED275ECB998A95F09ADE5E23A3FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYjjV5CLG7XOuT24gEcy5m:WuGh84BFy571nVkLWXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7956:4RcQIghhIQ4JAoAE0VYIjEm4gMWPYJRBDACAoCAzIFkACMLPzGHlwFGEGIoCAlGXggIAiAYGAmJvEEQQwkIdEgASQaahkRBT

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:fcfcfce4041c3c24
Color Hash:#3a7853

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data