Security Scan Report: ujieberkala-dstr-dephub-v1-qr-rfid-yb88aphjgc.edgeone.app

Submitted: May 20, 2026, 4:34:51 AMCompleted: May 20, 2026, 4:36:38 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 ujieberkala-dstr-dephub-v1-qr-rfid-yb88aphjgc.edgeone.app and was registered NaN years ago.

Submitted URL: https://ujieberkala-dstr-dephub-v1-qr-rfid-yb88aphjgc.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: 72%

2
Risk Score

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

Risk Factors
Unknown subdomain age
Low domain ranking
Safety Factors
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware or suspicious behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

documentation technical

(69%)

Domain Information

The domain 'ujieberkala-dstr-dephub-v1-qr-rfid-yb88aphjgc.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ujieberkala-dstr-dephub-v1-qr-rfid-yb88aphjgc'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Breaking it apart gives 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://ujieberkala-dstr-dephub-v1-qr-rfid-yb88aphjgc.edgeone.app/

Page Load Overview

2.72s
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:92 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical69% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
69%
cryptocurrency blockchain
33%
news media journalism
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

T1C722DAC5EBE706C8641BC0686FFF5725222DE053D449C95CB99E0F648F45184B4FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBRjhqPhqeXh1RaXQl:KrzhNK/lMHmGgdkqWetd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10559:IgUi1nQADZMRPJWORUWEmBCiCASGiRwEMhBJUgBKiDkwAIGMKYA3wwiACTcCgMaQmTi9RQAmSERaRApIABImKToCPWeGACOh

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:dcfcfcfcc0808000
Perceptual Hash:da9a386d64c39363
Difference Hash:3030706000000000
Wavelet Hash:dcfcfcfce0e0c080
Color Hash:#79bed2

Other Hashes

Crop Resistant:3030706000000000

Scan History

Scan history not available

Unable to load historical scan data