Security Scan Report: fond-plum-zqeuacw0km-9zgkvm9siz.edgeone.app

Submitted: Mar 26, 2026, 3:17:47 AMCompleted: Mar 26, 2026, 3:18:59 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 fond-plum-zqeuacw0km-9zgkvm9siz.edgeone.app and was registered NaN years ago.

Submitted URL: https://fond-plum-zqeuacw0km-9zgkvm9siz.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: 93%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware detected
Standard hosting platform subdomain without suspicious activity
Content appears to be a simple file collection page
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

healthcare medical

(31%)

Domain Information

The domain 'fond-plum-zqeuacw0km-9zgkvm9siz.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'fond-plum-zqeuacw0km-9zgkvm9siz'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 3 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://fond-plum-zqeuacw0km-9zgkvm9siz.edgeone.app/

Page Load Overview

1.16s
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:102 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

healthcare medical31% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
31%
documentation technical
30%
cryptocurrency blockchain
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

T12712D8C9EBE706C8A81BC4682FFF5325222DE053D449C94CB9AE0F648F4518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBOhUvoh1RaXQl:KrzhNK/lMHmGgdkqdWvod

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9652:IIUC1nICDQMQdJ00IW2cjCMiCEKGDQYAMFINggAKiDAQQpEKhcQ2yxCdSacCIMaEgTmcVQkmSEFaBQhFABIGCKoCOSbWiBFH

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:da9a986c6c65c3c3
Difference Hash:3030780000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#61862d

Other Hashes

Crop Resistant:3030780000000000

Scan History

Scan history not available

Unable to load historical scan data