Security Scan Report: ez1000mf6215vd1108vezf16nvsggf1jbka84sces4bcrq7wh29bv.vercel.app

Submitted: Aug 17, 2026, 12:27:12 PMCompleted: Aug 17, 2026, 12:34:47 PMpubliccompleted

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

You're looking at domain 'ez1000mf6215vd1108vezf16nvsggf1jbka84sces4bcrq7wh29bv.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ez1000mf6215vd1108vezf16nvsggf1jbka84sces4bcrq7wh29bv'. The core label 'vercel' covers 6 characters split between 2 vowels and 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ez1000mf6215vd1108vezf16nvsggf1jbka84sces4bcrq7wh29bv.vercel.app/

Page Load Overview

0.25s
Total Load Time
2 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 technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
government public service
45%
cryptocurrency blockchain
37%
technology software
34%
healthcare medical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67United 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

T1418193377B69211AF333C89FB1C26B993010A121D1ABDAB9FF579F25D5CA1251E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMz/Jv:TGRe91n5O6Yp63XKk1Vr3hzRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygmTABIQEEBBACgiAAIDAAAIUwAAAkgcCCEGAgECAEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5AQJgAkACKwA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000181e040000
Wavelet Hash:3c3c3c00c3c3f3f3
Color Hash:#1f5593

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data