Security Scan Report: bare-coffee-lhlu23h7up-1qwqp34n38.edgeone.app

Submitted: Feb 8, 2026, 3:00:11 AMCompleted: Feb 8, 2026, 3:01:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is bare-coffee-lhlu23h7up-1qwqp34n38.edgeone.app and was registered NaN years ago.

Submitted URL: https://bare-coffee-lhlu23h7up-1qwqp34n38.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (over 2.5 years old)
Low ranking does not outweigh domain age and lack of threats
No external links or redirects
No login, payment, or hidden malicious fields
Site content unavailable but no security indicators present
Domain age information unavailable

Details

Page Title

bare-coffee-lhlu23h7up-1qwqp34n38.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(27%)

Domain Information

Within the application-focused generic top-level domain (.app), 'bare-coffee-lhlu23h7up-1qwqp34n38.edgeone.app' is registered; it also runs on subdomain 'bare-coffee-lhlu23h7up-1qwqp34n38'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bare-coffee-lhlu23h7up-1qwqp34n38.edgeone.app/

Page Load Overview

3.26s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
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:90 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical27% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
27%

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

T110048F77329A063985558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszG2bMy8OldM:BhoC9JSqzzbs6o3Sj3gcrsy2eA6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184616:BggBCkWwA0EEWpIht6AAaARgMAQh0jAcAgIQBSEDQA10GumCLsANzXYZLR1yVzCjAhIUEAwF8EUQABSCYAICDLS1QWoRSQAY

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00181c1c00000000
Wavelet Hash:fcdcc0c40f0f0f0f
Color Hash:#bf5b40

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data