Security Scan Report: fud9kkw5zn1r9wl8ddzwqpie2kiflrj8hksf36-cg13s.vercel.app

Submitted: Aug 17, 2026, 12:29:37 PMCompleted: Aug 17, 2026, 12:44:13 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 'fud9kkw5zn1r9wl8ddzwqpie2kiflrj8hksf36-cg13s.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'fud9kkw5zn1r9wl8ddzwqpie2kiflrj8hksf36-cg13s'. The second-level label 'vercel' is 6 characters long split between two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fud9kkw5zn1r9wl8ddzwqpie2kiflrj8hksf36-cg13s.vercel.app/

Page Load Overview

0.52s
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
40%
technology software
35%
healthcare medical
31%

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

T1208193377B69211AF333C89FA1C26B993000A121D1ABDAB9FF579F25D5CA1651E0378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMS/Jv:TGRe91n5O6Yp63XKk1Vr3hSRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBADgiAAIDAAAIUwAAAkgcCCEGAgECAEAAAEABKIAEggCDBoSOEcQwAEAAICFEA5AAJAAkACKwA

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:fcfcfcc0c0c0f0f0
Color Hash:#85ac53

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data