Security Scan Report: squealing-red-jpmzmutstk-aqlb1vi6lr.edgeone.app

Submitted: Mar 22, 2026, 6:42:22 AMCompleted: Mar 22, 2026, 6:43:35 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 squealing-red-jpmzmutstk-aqlb1vi6lr.edgeone.app and was registered NaN years ago.

Submitted URL: https://squealing-red-jpmzmutstk-aqlb1vi6lr.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

No malicious activity detected; the site appears benign.

Safety Factors
Absence of login, payment, or other sensitive data collection forms
Low JavaScript obfuscation score indicating standard minification only
No cross‑origin credential exfiltration observed
Page title and OCR text show no brand impersonation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

healthcare medical

(26%)

Domain Information

Within the application-focused generic top-level domain (.app), 'squealing-red-jpmzmutstk-aqlb1vi6lr.edgeone.app' is registered, featuring subdomain 'squealing-red-jpmzmutstk-aqlb1vi6lr'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. Breaking it apart gives 2 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://squealing-red-jpmzmutstk-aqlb1vi6lr.edgeone.app/

Page Load Overview

0.85s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:71 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

healthcare medical26% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
26%
documentation technical
26%

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

T1EC12D7C9EBE306C8A81BC4682FFF5725222DE053D449C95DB99E0F648F4518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBChBh1RaXQl:KrzhNK/lMHmGgdkq9bd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9598:ICUD13AKBSMwtB0VAU2AhAIiKQeEDQQAMFgLACALyDAaAIEYDMQ0wxOBKZcCAMaAgTjcVRImTEFaBgphEAJGSCqTOiaeAAEF

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:dcfcfcf0e0e0c0c0
Perceptual Hash:de9a982c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#5953ac

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data