Security Scan Report: www.eatatthemoosecafe.com

Submitted: Dec 31, 2025, 11:47:35 PMCompleted: Dec 31, 2025, 11:56:31 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 1 country across 19 domains to perform 305 HTTP transactions. The main domain is eatatthemoosecafe.com and was registered NaN years ago.

Submitted URL: https://www.eatatthemoosecafe.com/new-years-day-dining-nc-piedmont-triad

AI Security Verdict

Moderate Risk

Confidence: 75%

4
Risk Score

Site has many redirects and links to a flagged Wix domain but lacks credential collection; treat as moderate risk.

Risk Factors
Excessive number of redirects (24) can be used to obscure final destination
Presence of a link to a known malicious domain (wix.com) increases suspicion
Safety Factors
Domain age of 6505 days (well‑established)
No password or payment fields present
No malicious Indicators of Compromise matches on the primary domain
Domain age information unavailable

Details

Page Title

Places Open New Year's Day | Breakfast & Lunch Restaurant | Moose Cafe

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(40%)

Domain Information

The domain 'www.eatatthemoosecafe.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The second-level label 'eatatthemoosecafe' is 17 characters long split between 9 vowels and eight consonants. Word splitting yields five words: eat, at, the, moose, cafe. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.eatatthemoosecafe.com/new-years-day-dining-nc-piedmont-triad

Page Load Overview

62.91s
Total Load Time
305
HTTP Requests
19
Domains
6.6 MB
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:7,684 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service40% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
40%
travel tourism
28%
adult content
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3934.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3865.8.131.55United States
AS16509AMAZON-02
3834.234.213.62Ashburn, Virginia, United States
AS14618AMAZON-AES
383.83.210.77Ashburn, Virginia, United States
AS14618AMAZON-AES
38151.101.130.217United States
AS54113FASTLY
38151.101.2.217United States
AS54113FASTLY
3834.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3834.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3058--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143555B74760C283DC7DB139DB913BE2D27D12427CDC1553EF8FD6A681AE29E82293216

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:L6k51b98ZMEmM44X85H2qUFeuU3nvUGLLPKhM4BgcEG2DRKZwCVDOpZJGltz7gx4:L6M1RemK8nUHU/UDrlyFA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1340981:U6etDQwpBEiVBI2cUCBMKRTBAAAEIpY0iJkD4jAIcDDGAAKCWQqsCVjGnCMAgIAFARtdXUkZhidEWQsacgCQqgAKGcFAoFYY

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:7fffffffffff0100
Perceptual Hash:aec10ec19f8ad52e
Difference Hash:c2960e4d0d856161
Wavelet Hash:7f43c3e7e7e70000
Color Hash:#9bd279

Scan History

Scan history not available

Unable to load historical scan data