Security Scan Report: austinot.com

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Submitted: Dec 31, 2025, 11:42:33 PMCompleted: Dec 31, 2025, 11:43:59 PMpubliccompleted
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Summary

This website contacted 89 IPs in 2 countries across 71 domains to perform 118 HTTP transactions. The main domain is austinot.com and was registered NaN years ago.

Submitted URL: https://austinot.com/new-years-day-restaurants-open-today-in-austin-01-01-2025

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Well-established domain with minimal risk
No suspicious forms or content
Domain age information unavailable

Details

Page Title

New Year's Day Restaurants Open Today In Austin 01|01|2025

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(72%)

Domain Information

The domain 'austinot.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'austinot' stretches across 8 characters containing four vowels alongside 4 consonants. Tokenizing the label suggests two words: austin, ot. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://austinot.com/new-years-day-restaurants-open-today-in-austin-01-01-2025

Page Load Overview

2.19s
Total Load Time
45
HTTP Requests
11
Domains
260 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-US
Text Length:4,916 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism72% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
72%
real estate property
65%
government public service
63%
documentation technical
61%
blog personal website
56%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4552.208.232.85Germany
0146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
013.226.244.99Germany
037.252.171.22Germany
013.248.245.213Germany
0195.181.175.41Germany
0104.18.37.69United States
AS13335CLOUDFLARENET
054.77.106.249GermanyUnknown
035.241.45.217GermanyUnknown
018.157.230.4GermanyUnknown
4589--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142142A72AA88053D327BC34594F7B218F2255017D702DBD6F5BCEE69CBC8AA5206372D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yDXcfY5UlKQnzD3Otg+/y0g9RzY75tWhyDtV1JruySd4Mqi5V:y4fYSUl/7g9aQ55V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:195537:A1RcJiQEBFEKTOcUOBSBAAkHQgRJWZLmQaHWMIKgtoYM4IEwEAhBAEB0OTAYDpSDgKCJAqwgZQWgGEwAMAmiFJrKC1gJAgET

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:0018183c1c181800
Perceptual Hash:cc36739926666713
Difference Hash:16b32b28b2b3b30b
Wavelet Hash:009999bfbdb99981
Color Hash:#6cdee0

Scan History

Scan history not available

Unable to load historical scan data