Security Scan Report: dirty-pink-qqhbepnsn0-1q1kezkpu7.edgeone.app

Submitted: Apr 20, 2026, 2:32:14 AMCompleted: Apr 20, 2026, 2:33:21 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is dirty-pink-qqhbepnsn0-1q1kezkpu7.edgeone.app and was registered NaN years ago.

Submitted URL: https://dirty-pink-qqhbepnsn0-1q1kezkpu7.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: 75%

2
Risk Score

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

Risk Factors
Low domain ranking (outside top 100K)
Subdomain on a hosting platform with unknown age
Safety Factors
No login, payment, or credential forms
No malicious Indicators of Compromise
No JavaScript malware matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(34%)

Domain Information

The domain name 'dirty-pink-qqhbepnsn0-1q1kezkpu7.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'dirty-pink-qqhbepnsn0-1q1kezkpu7'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Segmentation suggests two 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://dirty-pink-qqhbepnsn0-1q1kezkpu7.edgeone.app/

Page Load Overview

0.42s
Total Load Time
2
HTTP Requests
1
Domains
3 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:118 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism34% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
34%
documentation technical
32%
healthcare medical
31%
social media network
26%
government public service
25%

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

T13102C5CAEBA305C9A82BC4682FFF5724222DE017C449CD5DB9AE1F548F0518875EB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBTh1RaXQl:KrzhNK/lMHmGgdkqWd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8826:ZUUC1nAiRQMQNBUUAU2IlIAiSAGMDwUAMFIJAABCiDLwAYE4EMZ0wwKAHYdCQNaAgTicVQQmSEpaFAhBZIIGCCoCOCaWACEh

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:de9a9898686963e3
Difference Hash:3038400000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#79c1d2

Other Hashes

Crop Resistant:3038400000000000

Scan History

Scan history not available

Unable to load historical scan data