Security Scan Report: funtar.vercel.app

Response type:API response (JSON)application/jsonHTTP 500The server returned machine-readable data for programs (an API response), not a web page. The screenshot shows how a browser displays the raw data.
Submitted: Completed: publiccompleted
This website contacted 3 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://funtar.vercel.app

AI Security Verdict

High Risk

Confidence: 0%

7
Risk Score

AI analysis skipped: HTTP 500 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain name 'funtar.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'funtar'. The second-level label 'vercel' is 6 characters long split between two vowels and 4 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://funtar.vercel.app

Page Load Overview

12.38s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Text Length:94 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism65% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
65%
government public service
58%
documentation technical
50%
healthcare medical
40%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFD02B72C350153F07325ADD9D8167148E80A16AE5315C01B144A884C59A613A813380

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96z90H/xjC0PC2spjNdxELa:kxV7Hfz90o0apj7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:9334eb4f0d821cddf5de8a75728fefb0

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:00ffffffffffffff
Perceptual Hash:9c1c1d1d1d1d1d1f
Difference Hash:b000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#1f5393

Other Hashes

Crop Resistant:b000000000000000

Scan History

Scan history not available

Unable to load historical scan data