Security Scan Report: poor-lime-whywsqjnc1-dmwpp2l1go.edgeone.app

Submitted: Mar 1, 2026, 10:20:52 PMCompleted: Mar 1, 2026, 10:22:06 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is poor-lime-whywsqjnc1-dmwpp2l1go.edgeone.app and was registered NaN years ago.

Submitted URL: https://poor-lime-whywsqjnc1-dmwpp2l1go.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%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on a known platform (edgeone.app) without suspicious activity
Generic content (Files Collection) with no brand claims
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(48%)

Domain Information

You're looking at domain 'poor-lime-whywsqjnc1-dmwpp2l1go.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'poor-lime-whywsqjnc1-dmwpp2l1go'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://poor-lime-whywsqjnc1-dmwpp2l1go.edgeone.app/

Page Load Overview

0.56s
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:107 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%
government public service
33%
healthcare medical
28%
documentation technical
27%
cryptocurrency blockchain
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

T1428284C1EFE51BDCB41F85546BBE6B3A2629A043D44C858CB5AE0FB0DF44589E4BB074

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBxhkhShohEhchMh0h8hkhEh8h1RaXQl:KrzhNK/lMHmGgdkqe6oWaCSqSaayd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18208:IDWAUgAghQPgOBcVBA2AjIgiSAVrDDBpMAAJEQIqCDBECIG4HcQwgcKAQXcm4MKgkUgJRjDmMEFiBKsiaAIHyDMGKgYSAFEV

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de3838382865e3e7
Difference Hash:3030607060606068
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#7e2d86

Other Hashes

Crop Resistant:3030607060606068

Scan History

Scan history not available

Unable to load historical scan data