Security Scan Report: www.xtfi231.vercel.app

Redirected to:
https://xtfi231.vercel.app/
Submitted: Jul 2, 2026, 10:52:10 PMCompleted: Jul 2, 2026, 10:53:45 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is xtfi231.vercel.app and was registered NaN years ago.

Submitted URL: https://www.xtfi231.vercel.app/

Effective URL: https://xtfi231.vercel.app/Redirected

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(57%)

Domain Information

The domain 'www.xtfi231.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.xtfi231'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. It segments into 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://www.xtfi231.vercel.app/

Page Load Overview

1.66s
Total Load Time
3
HTTP Requests
2
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

news media journalism57% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
57%
cryptocurrency blockchain
56%
government public service
56%
real estate property
53%
healthcare medical
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.195United States
AS16509Amazon.com, Inc.
31--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF3174B745B1702EF23788FD34E677683244851BC0960F99B518AFB8E2C7CA79023745

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7N0:TGi9ScnwEYN0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAggAIAADAASACAAAAgAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:e699cc9966999899
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4243c1c04
Color Hash:#ac7d53

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data