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Security Scan Report: www.buymeacoffee.com

Redirected to: https://buymeacoffee.com/

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Submitted: Nov 24, 2025, 5:34:38 PMCompleted: Nov 24, 2025, 5:37:21 PMpubliccompleted
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Summary

This website contacted 49 IPs in 3 countries across 20 domains to perform 117 HTTP transactions. The main domain is buymeacoffee.com and was registered NaN years ago.

Submitted URL: https://www.buymeacoffee.com/

Effective URL: https://buymeacoffee.com/Redirected

The Cisco Umbrella rank of the primary domain is #48,766 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

BuyMeACoffee appears legitimate with no security concerns.

Safety Factors
Well‑established domain age
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No sensitive data collection forms
Legitimate brand name matches domain
Domain age information unavailable

Details

Page Title

Buy Me a Coffee

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.buymeacoffee.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 12 characters in 'buymeacoffee' containing six vowels alongside six consonants. Segmentation suggests four words: buy, me, a, coffee. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.buymeacoffee.com/

Page Load Overview

1.61s
Total Load Time
117
HTTP Requests
20
Domains
1.3 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:5,158 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
54104.26.3.199United States
AS13335CLOUDFLARENET
19104.26.2.199United States
AS13335CLOUDFLARENET
7104.18.18.62United States
AS13335CLOUDFLARENET
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4142.250.185.232United States
AS15169GOOGLE
4216.58.206.67United States
AS15169GOOGLE
3185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3166.117.227.218United States
AS16509AMAZON-02
3216.239.32.36United States
AS15169GOOGLE
274.125.71.155United States
AS15169GOOGLE
11749--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139342CA1239021BDA803C3F0E671FAA8712FB3E6DF27C5D9D6D01611DA86DFE1959E04

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lrA5w7njj/VUsEKeBBJ2fAaAHQcuBrkQVRvXPcExjo4rTnJV+MTeKwnY0N8cbTof:q5ijj/VUsEKwuG9NnNe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:242170:KHAGicKhAkBDTgEBYeAiAARgC8CwQx4iY4AQrwUclCJsQBQEb3RgjBN8ATIGESKgoQzCM1MElEEADBKWRQUUhhwCIALAzCAK

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:fe7f674267e7ffc7
Perceptual Hash:a203ddc875757782
Difference Hash:c88dcccc898d140d
Wavelet Hash:6c64664264e4ffc3
Color Hash:#1f9369

Other Hashes

Crop Resistant:c88dcccc898d140d

Scan History

Scan history not available

Unable to load historical scan data