Security Scan Report: established-apricot-llqn5lz72v-1j4rg0s3q4.edgeone.app

Submitted: Feb 4, 2026, 10:04:10 PMCompleted: Feb 4, 2026, 10:05:42 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is established-apricot-llqn5lz72v-1j4rg0s3q4.edgeone.app and was registered NaN years ago.

Submitted URL: https://established-apricot-llqn5lz72v-1j4rg0s3q4.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: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (> 365 days)
No login or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

documentation technical

(31%)

Domain Information

The domain name 'established-apricot-llqn5lz72v-1j4rg0s3q4.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'established-apricot-llqn5lz72v-1j4rg0s3q4'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Segmentation suggests 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://established-apricot-llqn5lz72v-1j4rg0s3q4.edgeone.app/

Page Load Overview

25.88s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:54 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical31% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
31%

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

T1AA02C6CAEB9305C9A82BC4682FFF5724232DE057C448CD5DB9AE1F548F0518875EB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBCTh1RaXQl:KrzhNK/lMHmGgdkqPTd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8711:KC0S1nBKRwMQNhUcA82AhABiSAGEDQQAMFApCCAbiDKRCIEYiMR0w0KAyYcGINaSgTi8VQCmSFBapAhBkAYGCG4COCaWAYEH

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:de9a98386c6563c3
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#a8bf40

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data