ScanMalware.com

Security Scan Report: menu-starbucks-hours.github.io

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/00014d99-4090-423d-b427-f711f08e02dcDomain and IP registration (RDAP)/api/v1/rdap/00014d99-4090-423d-b427-f711f08e02dcHow often this domain was scanned/api/v1/domain/stats/menu-starbucks-hours.github.ioScan history for this domain/api/v1/domain/history/menu-starbucks-hours.github.io?limit=15
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: https://menu-starbucks-hours.github.io/menu-starbucks-hours/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The page is an informational article about Starbucks hours with no malicious content or data collection; classified as low risk.

Safety Factors (3)
Informational article about a brand
No forms or data collection
No malicious indicators from threat intel or scanning
Domain age information unavailable

Details

Page Title

Starbucks Hours 2024: Complete Guide to Store Opening & Closing Times

Scan Type

public

Domain Name Analysis

The domain 'menu-starbucks-hours.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'menu-starbucks-hours'. Count 6 characters in 'github' holding 2 vowels versus 4 consonants. Splitting it apart reveals three words: g, it, hub. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Ths Complete Guide to Starbueks Hours (NevergwondereTS¥St ar DUCKS open 2eMagainway oulgcomprehensive) flocationssmandysmantgcotteekt iming—strategiess Check Current Starbucks Hours > with over 16...

Page Load Overview

0.37s
Total Load Time
14 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:10,951 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content33% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
33%
government public service
32%
documentation technical
30%
travel tourism
29%
education learning
28%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.199.110.153United States
AS54113Fastly, Inc.
1185.199.111.153United States
AS54113Fastly, Inc.
22--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
HSTS
40%
GitHub Pages
40%
Fastly
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D13FA1B55F310130FA381616FAE0B5BAFA1C01FD5068EA13A5D935C4F81B5DAEB361E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OAHrYfKwdJx9YjLb/YtJcCBe7I1ziXDeDGU:OAHrYfKwdcLb/YtJc1uuzeDh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41908:M4WAtARgoAEEhIhCqIAkgEjkKKCQMhKCCbM4QAgJQnQTDJRxRADj6AIwFoofgwAAgCNKAWBWZGQaAakJQAIzDIScgVAIYQKB

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:818181c3ffffffff
Perceptual Hash:bd6d3293c2386d92
Difference Hash:232b3333c83a0c0e
Wavelet Hash:81818181cfffc7c7
Color Hash:N/A

Other Hashes

Crop Resistant:232b3333c83a0c0e,a2926a4767880282,008c84f0cc707121

Scan History

Scan history not available

Unable to load historical scan data