Security Scan Report: proper-apricot-c2nwis01vc-mzi47jkuch.edgeone.app

Submitted: Apr 28, 2026, 7:04:17 AMCompleted: Apr 28, 2026, 7:05:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is proper-apricot-c2nwis01vc-mzi47jkuch.edgeone.app and was registered NaN years ago.

Submitted URL: https://proper-apricot-c2nwis01vc-mzi47jkuch.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site; no malicious activity observed, but subdomain age is unknown.

Risk Factors
Subdomain on a hosting platform with unknown age
Low Cisco Umbrella ranking (outside top 100K)
Safety Factors
No forms or payment fields present
No credential exfiltration or malicious JavaScript detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'proper-apricot-c2nwis01vc-mzi47jkuch.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'proper-apricot-c2nwis01vc-mzi47jkuch'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Tokenizing the label suggests 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://proper-apricot-c2nwis01vc-mzi47jkuch.edgeone.app/

Page Load Overview

0.92s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:51 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T14702C6CAEBA305C8A82BC4682FFF5724222DE057C448CD5DB99E5F548F0518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB7h1RaXQl:KrzhNK/lMHmGgdkq6d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8700:IgVC13oGBVMQNBUeA0+AxAgiSACEDQQAsFCNCAAKiDLQSJtIAMR0w1KgCYcHINaAgTieVZAmSETaBChBCQImCCoCPCaWAIUR

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:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#9e79d2

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data