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Security Scan Report: www.br.coffee

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Submitted: Jan 1, 2026, 2:32:38 PMCompleted: Jan 1, 2026, 2:33:34 PMpubliccompleted
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Summary

This website contacted 31 IPs in 4 countries across 22 domains to perform 77 HTTP transactions. The main domain is br.coffee and was registered NaN years ago.

Submitted URL: https://www.br.coffee/?srsltid=AfmBOor5BqMAF0FSQMm-BBUT-ZB_j_A2Zq4zeyhvgmUWvJJBdy8tdd-2

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate coffee shop site with no security concerns.

Safety Factors
Established domain age
No credential or payment forms
No malicious Indicators of Compromise
Consistent branding with coffee shop
Domain age information unavailable

Details

Page Title

Black Rock Coffee Bar | Delicious Coffee | Order Online

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(54%)

Domain Information

You're looking at domain 'www.br.coffee' on the .coffee top-level domain, featuring subdomain 'www'. Count 2 characters in 'br' holding 0 vowels versus two consonants. Segmentation suggests 1 word: br. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.br.coffee/?srsltid=AfmBOor5BqMAF0FSQMm-BBUT-ZB_j_A2Zq4zeyhvgmUWvJJBdy8tdd-2

Page Load Overview

7.49s
Total Load Time
77
HTTP Requests
22
Domains
8.8 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:4,073 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical54% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
54%
technology software
39%
e-commerce shopping
38%
government public service
32%
corporate business
29%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2104.18.87.42United States
AS13335CLOUDFLARENET
252.209.231.177Dublin, Leinster, Ireland
AS16509AMAZON-02
2104.18.160.117United States
AS13335CLOUDFLARENET
2104.26.11.149United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
2151.101.65.229United States
AS54113FASTLY
2104.18.161.117United States
AS13335CLOUDFLARENET
252.222.236.118United States
AS16509AMAZON-02
2172.64.145.29United States
AS13335CLOUDFLARENET
7731--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C04939B39A4631EE6D38748E6A27E997910999FFD335CDCF01D43B80BC9BE18C4150A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:e8BSR7I0lMuFz9JAGjya+ynNiave4r74qjZ0yC6756YUICIwIaIP3gcpgb:c7d5SSmb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:173134:YAcAWMGEaBCECh9TrHCiBzCmlwq4Gg5mCfIINVQIAEAEFCa28wAAAAwugBUCICSAe4IEQEpUGNAPQLCSCdEhCRQ0JxxhBgFg

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:ffdfc7c3c3df8181
Perceptual Hash:e8966ad16ad29279
Difference Hash:cd37373717133303
Wavelet Hash:ffc3c783c3c38181
Color Hash:#d22dca

Other Hashes

Crop Resistant:cd37373717133303,c4808592b1b0d090,d874e1bc66c4ccf1,c48436b78482c3d3,2464646179797171,3844c9c8c9c8c8c8

Scan History

Scan history not available

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