Security Scan Report: jealous-apricot-k5ikepkhia-grbqscy699.edgeone.app

Submitted: Mar 27, 2026, 10:29:17 AMCompleted: Mar 27, 2026, 10:30:27 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 jealous-apricot-k5ikepkhia-grbqscy699.edgeone.app and was registered NaN years ago.

Submitted URL: https://jealous-apricot-k5ikepkhia-grbqscy699.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: 82%

0
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
No credential or payment fields present
No external domains or cross‑origin requests
Hosted on a known platform (edgeone.app) with no suspicious scripts
No redirects or URL manipulation detected
Domain age unknown but no malicious behavior observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

cryptocurrency blockchain

(84%)

Domain Information

You're looking at domain 'jealous-apricot-k5ikepkhia-grbqscy699.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'jealous-apricot-k5ikepkhia-grbqscy699'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. It segments into 2 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://jealous-apricot-k5ikepkhia-grbqscy699.edgeone.app/

Page Load Overview

0.34s
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:436 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

cryptocurrency blockchain84% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
84%
documentation technical
72%
technology software
71%
healthcare medical
62%
news media journalism
59%

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

T1D5D24280EFF45FDC741B85459B6D7F3B6625A003A48C429CB1AE0EB0AF49846E4FB179

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KrzhNK/lMHmGgdkqZfND1L1fD3lLt/9DFvVPVLNd:shNIMi+GfND1L1fD3lLt/9DFvVPVLNd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28413:CCk6jAAQKQUgE5wgLCCJILpCaUMgDxxAFEkKkEprKDEayYECiJdCoHpgQBOC4tYEjH0BUmcghQVSYAqBLFIKQCYQKTRAgVB0

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:de7538386064e3e3
Difference Hash:3030707070717170
Wavelet Hash:dc9c3c3c3c3c1c3c
Color Hash:#862d3e

Other Hashes

Crop Resistant:3030707070717170

Scan History

Scan history not available

Unable to load historical scan data