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Security Scan Report: passive-coffee-3dp2wou4jg-ap7my5mnid.edgeone.app

Submitted: Mar 28, 2026, 4:47:33 PMCompleted: Mar 28, 2026, 4:48:50 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 passive-coffee-3dp2wou4jg-ap7my5mnid.edgeone.app and was registered NaN years ago.

Submitted URL: https://passive-coffee-3dp2wou4jg-ap7my5mnid.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: 85%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Subdomain on free hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
Content appears to be generic news without brand claims
Domain age information unavailable

Details

Page Title

Global Current News

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(100%)

Domain Information

The domain name 'passive-coffee-3dp2wou4jg-ap7my5mnid.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'passive-coffee-3dp2wou4jg-ap7my5mnid'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://passive-coffee-3dp2wou4jg-ap7my5mnid.edgeone.app/

Page Load Overview

0.21s
Total Load Time
3
HTTP Requests
1
Domains
6 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:1,238 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical100% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
100%
news media journalism
99%
forum community discussion
99%
social media network
99%
phishing scam
99%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A91C5A78A013916A2A761B5F9D67B9A605CC94BD20F17C820FD811FD1C178BC73EB4E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TyYCcPxds6XkYtB4d/Rhf7voixAxmQkNG1lALYYHPIvv+:WcPxu6XkoBI/LVn6qQ2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4571:AAJJpVcOYSCIAAAABDEDfRiGEIYkBQgsAgAU0QIQOYkAAigKEAAgcihBQAQYAAwAIAQasEAAAAAAgkgtFMIgFAEAAAkoBSgw

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:0000ffffffffff00
Perceptual Hash:9c624a636ae369e5
Difference Hash:c0602468065218b1
Wavelet Hash:000083ffb3ffff00
Color Hash:#4f783a

Other Hashes

Crop Resistant:c0602468065218b1,01c1c101e1693534,0101310db3b24d33

Scan History

Scan history not available

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