Security Scan Report: coffeestack3d-h5rb2vown8.edgeone.app

Submitted: Mar 30, 2026, 8:42:00 PMCompleted: Mar 30, 2026, 8:43:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is coffeestack3d-h5rb2vown8.edgeone.app and was registered NaN years ago.

Submitted URL: https://coffeestack3d-h5rb2vown8.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 94%

2
Risk Score

No malicious activity detected; site appears benign.

Risk Factors
New subdomain on edgeone.app with unknown creation date (moderate suspicion)
Low Cisco Umbrella ranking (455,732) indicating low reputation
Safety Factors
No password, email, or payment fields present
No cross‑origin credential exfiltration observed
No network IDS alerts triggered
Page contains only file listing information, no executable content
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(81%)

Domain Information

Domain 'coffeestack3d-h5rb2vown8.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'coffeestack3d-h5rb2vown8'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. It segments into two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://coffeestack3d-h5rb2vown8.edgeone.app/

Page Load Overview

0.41s
Total Load Time
2
HTTP Requests
1
Domains
10 KB
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
HTML Lang Attribute:zh
Text Length:10,480 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical81% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
81%
technology software
76%
adult content
56%
healthcare medical
35%
entertainment media
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F494F340AFF42FECA01E8640AB7D7F7B6A656003A48D118C719D0DB4EF88D4AE4BB575

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Xa44I2wWwAgSEou0I0koYcFbKAswU4SXlb3n3Xrj7z3tbPRDh/vJIkIMMcsc280O:Xa44I2wWwAgSEou0I0koYcFbKAswU4SJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:434810:UADAAxGACFECXDqwQAgqkAuKAQMvogphnoCIU45pRAWGwQAOHuWCTCBwFT0EZsiGij7wREAi9qAAAAciABEiAKh0KCEQECQX

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:1c1c1c1c1c1c1c1c
Perceptual Hash:9838343c7539c7c7
Difference Hash:b030303030303030
Wavelet Hash:1c5c5c5c5c5c5c7c
Color Hash:#bf404f

Other Hashes

Crop Resistant:b030303030303030

Scan History

Scan history not available

Unable to load historical scan data