Security Scan Report: austrodigitalweb.vercel.app

Submitted: Jul 19, 2026, 12:50:10 AMCompleted: Jul 19, 2026, 12:51:50 AMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is austrodigitalweb.vercel.app and was registered 6 years ago.

Submitted URL: https://austrodigitalweb.vercel.app/

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

government public service

(56%)

Domain Information

Domain 'austrodigitalweb.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'austrodigitalweb'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. It segments into two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of austrodigitalweb.vercel.app

Page Load Overview

9.18s
Total Load Time
2
HTTP Requests
1
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

government public service56% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
56%
news media journalism
54%
healthcare medical
53%
cryptocurrency blockchain
52%
real estate property
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195United States
AS16509Amazon.com, Inc.
21--

Page Statistics

2
Requests
1
Unique Domains
1.8 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1663174B745B1702EF23B88FE38D633646244811BC0921F59B558FBB8E2D7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz74x0:TGi9ScnwEY4x0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgECIAJABAAEQAgAAAGAAAAQAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQCBEAAgIggAIAIAB

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:e6998c9966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:3c3c3c24070f0f07
Color Hash:#96e06c

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data