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Security Scan Report: miserable-coffee-yovddpy7bx-058jix59vt.edgeone.app

Submitted: Mar 22, 2026, 9:21:26 PMCompleted: Mar 22, 2026, 9:22:40 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is miserable-coffee-yovddpy7bx-058jix59vt.edgeone.app and was registered NaN years ago.

Submitted URL: https://miserable-coffee-yovddpy7bx-058jix59vt.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: 92%

1
Risk Score

Generic app landing page with no malicious activity detected.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform subdomain (edgeone.app)
Generic app landing page content without brand impersonation
Domain age information unavailable

Details

Page Title

App Landing Page - 移动应用着陆页

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(45%)

Domain Information

Within the application-focused generic top-level domain (.app), 'miserable-coffee-yovddpy7bx-058jix59vt.edgeone.app' is registered with subdomain 'miserable-coffee-yovddpy7bx-058jix59vt'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 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://miserable-coffee-yovddpy7bx-058jix59vt.edgeone.app/

Page Load Overview

0.94s
Total Load Time
32
HTTP Requests
3
Domains
2.1 MB
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:3,067 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
45%
forum community discussion
41%
government public service
29%
news media journalism
28%
healthcare medical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.251.141.74United States
AS15169Google LLC
10142.250.201.67United States
AS15169Google LLC
1043.152.26.58Singapore
AS139341ACE
323--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103C27174E101566B53A709F9B070DB5DE08BD64CCF678D8FB3AD91E367D6CA48C22288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qp1hKaseFcmmTb/MZd15x4Zf2qChJ9DdBkqEls:Nd/MZd1XZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28235:ZqAggsRZjB6AHAGQXAuCTUEEV3IIJChCEzQsYtMyGxcBFN4oUzumCFZkogAYHCjCJTDAhIiqLg1BwQaZGxA1IDkCIKoCBIqC

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:7e7e067676762000
Perceptual Hash:c49139c4c3663e7b
Difference Hash:8294c4c4c4a4e60f
Wavelet Hash:7e7a667676766000
Color Hash:#ac9a53

Other Hashes

Crop Resistant:8294c4c4c4a4e60f,8280a3ababc38082,8ceeb28e8caab2a2,aa22caa2f03333e6,8296c4e4c4a6a64e,4d602184be3a3b49

Scan History

Scan history not available

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