Security Scan Report: mathematical-coffee-haa9eu8d4k-8m57tq47ss.edgeone.app

Submitted: Mar 30, 2026, 11:47:13 AMCompleted: Mar 30, 2026, 11:48:41 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is mathematical-coffee-haa9eu8d4k-8m57tq47ss.edgeone.app and was registered NaN years ago.

Submitted URL: https://mathematical-coffee-haa9eu8d4k-8m57tq47ss.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: 92%

3
Risk Score

Low risk; no malicious activity detected, but the subdomain is new and the page is currently unreachable.

Risk Factors
New or unknown-age subdomain on a free hosting platform
Site currently unreachable (ERR_TUNNEL_CONNECTION_FAILED)
Safety Factors
No forms or data collection elements present
No malicious Indicators of Compromise
No JavaScript malware or suspicious scripts
External resources are reputable (Google fonts and Google.com)
Domain is not listed in any threat intelligence feeds
Domain age information unavailable

Details

Page Title

mathematical-coffee-haa9eu8d4k-8m57tq47ss.edgeone.app

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'mathematical-coffee-haa9eu8d4k-8m57tq47ss.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'mathematical-coffee-haa9eu8d4k-8m57tq47ss'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Splitting it apart reveals two 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://mathematical-coffee-haa9eu8d4k-8m57tq47ss.edgeone.app/

Page Load Overview

0.75s
Total Load Time
5
HTTP Requests
4
Domains
17 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:4 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz22bMy8OldK:shoC9JSqzzbs6o3Sj3gcrsC2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184656:ggCMRAI0EiAqSNAMOBAGoAQCANYLJCGQycWgliAhA4YDUow4hECgpZQCgaYCLCSIIAqZYwscBAQAHByBKIQgVJCEUXQlCAA4

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:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#ce79d2

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data