ScanMalware.com

Security Scan Report: okns29-hbk14.vercel.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/57202b35-138c-48fd-9d43-db1415601504Domain and IP registration (RDAP)/api/v1/rdap/57202b35-138c-48fd-9d43-db1415601504How often this domain was scanned/api/v1/domain/stats/okns29-hbk14.vercel.appScan history for this domain/api/v1/domain/history/okns29-hbk14.vercel.app?limit=15
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://okns29-hbk14.vercel.app/

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

Dead Vercel deployment returning a standard 404 error page. No forms, no brand claim, no threat-intel or malware hits — nothing malicious on the page itself.

Safety Factors (4)
No credential, login or payment form of any kind
No brand impersonation — the page displays no organisation's brand and makes no brand claim
No Indicators of Compromise, no Safe Browsing/YARA/IDS phishing or malware alerts
Content is a generic platform-generated deployment-not-found page
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

You're looking at domain 'okns29-hbk14.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'okns29-hbk14'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. It segments into 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://okns29-hbk14.vercel.app/

Page Load Overview

7.59s
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 technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
news media journalism
32%
healthcare medical
31%
government public service
30%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106F1FA9170653A3EF2338922189B511C313CE007ED275ECA998A95F09EDE5E23A3FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYj85fD7XOuT24gEcy5m:SuGh84BFy571whfXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhDguGwNCaKQEWwAJxEgyLBAY4tBEBahRBJAzgZiEGGECjAGTIIAIoiCgWNBiLAMESIgEQyfCEAhkTFRSkEBAGCYAG4

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:fcfcfce4243c3820
Color Hash:#d279a7

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data