Security Scan Report: ez1000l1l42dg01108vezk72comg1htymafu72yes0bjhn2wv70hv.vercel.app

Submitted: Aug 17, 2026, 12:27:27 PMCompleted: Aug 17, 2026, 12:35:45 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

Within the application-focused generic top-level domain (.app), 'ez1000l1l42dg01108vezk72comg1htymafu72yes0bjhn2wv70hv.vercel.app' is registered, featuring subdomain 'ez1000l1l42dg01108vezk72comg1htymafu72yes0bjhn2wv70hv'. The second-level label 'vercel' is 6 characters long with two vowels and four consonants. Word splitting yields 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ez1000l1l42dg01108vezk72comg1htymafu72yes0bjhn2wv70hv.vercel.app/

Page Load Overview

5.28s
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 technical77% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
77%
government public service
44%
cryptocurrency blockchain
37%
technology software
32%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3United 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

T1D58194377B69211AF333C89FA0C26B993010A121D16BDAB9FF579F25D5CA1251E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMi/Jv:TGRe91n5O6Yp63XKk1Vr3hiRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBACgiAAIDBAAIUwAAAkwcCCEGAgECAEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:000000180e040000
Wavelet Hash:3f3f3f0303033333
Color Hash:#7a2dd2

Other Hashes

Crop Resistant:000000180e040000

Scan History

Scan history not available

Unable to load historical scan data