Security Scan Report: few-lavender-jli1jxtpv9-svnblhigbj.edgeone.app

Submitted: Mar 22, 2026, 4:47:46 AMCompleted: Mar 22, 2026, 4:49:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is few-lavender-jli1jxtpv9-svnblhigbj.edgeone.app and was registered NaN years ago.

Submitted URL: https://few-lavender-jli1jxtpv9-svnblhigbj.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: 85%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No forms detected
No malicious Indicators of Compromise
No JavaScript malware
Hosted on a known platform (edgeone.app) without suspicious behavior
Domain age unknown but no risk indicators present
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(28%)

Domain Information

The domain name 'few-lavender-jli1jxtpv9-svnblhigbj.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'few-lavender-jli1jxtpv9-svnblhigbj'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Splitting it apart reveals 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://few-lavender-jli1jxtpv9-svnblhigbj.edgeone.app/

Page Load Overview

0.76s
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:69 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

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

T15512D8CAEBE705C8A81BC4682FFF5725222DE057D448C94CB9AE0F548F4518875FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBhh2h1RaXQl:KrzhNK/lMHmGgdkqU0d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9592:IAUT13ACBQNQNFccI02ihAAiSACkTQQAMFgJxEBKiDAwZ4EKgsW2wwKACYcGAMeAgTq81SAnSEBapgrDDAIGiCqCOiaWBEEB

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:#3a7857

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data