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Security Scan Report: coffeebeanrewards.com

Submitted: Oct 26, 2025, 11:00:59 AMCompleted: Oct 26, 2025, 11:02:36 AMpubliccompleted
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Summary

This website contacted 137 IPs in 5 countries across 37 domains to perform 128 HTTP transactions. The main domain is coffeebeanrewards.com and was registered NaN years ago.

Submitted URL: https://coffeebeanrewards.com/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate rewards site with no apparent security threats

Safety Factors
Well‑established domain age
Absence of suspicious forms or data collection
No malicious Indicators of Compromise detected
Brand name usage matches a known rewards program
Domain age information unavailable

Details

Page Title

The Coffee Bean Rewards

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

e-commerce

(49%)

Domain Information

The domain 'coffeebeanrewards.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'coffeebeanrewards' is 17 characters long containing 7 vowels alongside 10 consonants. Segmentation suggests 3 words: coffee, bean, rewards. The median word length lands at six characters. The linguistic tilt is English for 'coffee'. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts. Net impression: English phrase.

Screenshot

Security scan screenshot of https://coffeebeanrewards.com/

Page Load Overview

32.94s
Total Load Time
128
HTTP Requests
37
Domains
2.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:1,295 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce49% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
49%
other
38%
legitimate website
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12818.66.122.49United States
AS16509AMAZON-02
013.226.244.14United States
AS16509AMAZON-02
0104.21.18.57United States
AS13335CLOUDFLARENET
0142.250.186.36United States
AS15169GOOGLE
0216.58.212.130United States
AS15169GOOGLE
069.173.144.139Frankfurt am Main, Hesse, Germany
AS26667RUBICONPROJECT
035.244.174.68Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
035.71.131.137United States
AS16509AMAZON-02
046.228.174.117United Kingdom
AS56396Nexxen Group Ltd
054.216.139.9Dublin, Leinster, Ireland
AS16509AMAZON-02
128137--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170732BE563B4E29EA58BC389FFB6445C394A50AFE6438185B1EE8F381F83CC5C807954

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:NavoKY+FMo2cqNXJufl9ZZgMcqNX5ufl9ZZgrTVwszLSwh:/cqeqMcqOqrBv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73849:TBViSQ5Rs0SKxygibKMYgRWMmDCCwAAEgaokImKQAQhAoBAXQQiksggJM5gEANCDmAD2CIFFEPQqJBYUKmaJFM9VSNwGMAAj

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:3c3c3c3c3c181818
Perceptual Hash:89d36c27d3316536
Difference Hash:e971717171333333
Wavelet Hash:3d3c3c3d3d191919
Color Hash:#6ce096

Other Hashes

Crop Resistant:e971717171333333,4242424242424242,81a589d1a9a19181

Scan History

Scan history not available

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