Security Scan Report: lost-purple-ggmxyuktj9-gh6y106czf.edgeone.app

Submitted: May 13, 2026, 6:38:39 AMCompleted: May 13, 2026, 6:40:24 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 lost-purple-ggmxyuktj9-gh6y106czf.edgeone.app and was registered NaN years ago.

Submitted URL: https://lost-purple-ggmxyuktj9-gh6y106czf.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: 78%

2
Risk Score

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

Risk Factors
Subdomain on a hosting platform with unknown age
Low domain ranking in Cisco Umbrella
Safety Factors
No malicious Indicators of Compromise detected
No JavaScript malware patterns matched
No network IDS alerts or credential exfiltration observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(48%)

Domain Information

Domain 'lost-purple-ggmxyuktj9-gh6y106czf.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'lost-purple-ggmxyuktj9-gh6y106czf'. Count 7 characters in 'edgeone' containing 4 vowels alongside three 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://lost-purple-ggmxyuktj9-gh6y106czf.edgeone.app/

Page Load Overview

0.58s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:88 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism48% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
48%
healthcare medical
45%
government public service
43%
documentation technical
42%
real estate property
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10302C5CAEBA305C9A81BC07C2FFF5724222DE067C448C95DB99E5F548F0528875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBIh1RaXQl:KrzhNK/lMHmGgdkq7d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8767:YgUC1nQCDZMQPJUeAU2ElBCiSACEDQwAMlIZCgAKiDOwAIEMAMR2wwqAC7cCANbQgTi9VQQmSERaBAhJABImKToCPWaWACGh

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:dcfcfcc0e0e0c0c0
Perceptual Hash:da9a989c6c6561e3
Difference Hash:3038580000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#87c5c4

Other Hashes

Crop Resistant:3038580000000000

Scan History

Scan history not available

Unable to load historical scan data