Security Scan Report: p100061dw7cs11208vez6hz6yygnxvx37uo5kpesex7c90tw8huv.vercel.app

Submitted: Aug 17, 2026, 12:26:41 PMCompleted: Aug 17, 2026, 12:32:50 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

The domain 'p100061dw7cs11208vez6hz6yygnxvx37uo5kpesex7c90tw8huv.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'p100061dw7cs11208vez6hz6yygnxvx37uo5kpesex7c90tw8huv'. Count 6 characters in 'vercel' holding two vowels versus 4 consonants. Breaking it apart gives 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://p100061dw7cs11208vez6hz6yygnxvx37uo5kpesex7c90tw8huv.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 technical77% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
77%
government public service
42%
cryptocurrency blockchain
36%
technology software
32%
real estate property
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3United 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

T17681A3377B69211AF333C89FA1C26B993010A121D1ABCAB9FF579F15D5CA1651E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMU/Jv:TGRe91n5O6Yp63XKk1Vr3hURkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygmSABIQEEBBACgiAAIDAAAIUwAAAkgcCCEGAgECAEAAAEABKIAEwgCDBoQOEcQwAEQAICFEA5AQJAAkACKwA

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:33333f03c0c0f0f0
Color Hash:#6ca2e0

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data