Security Scan Report: ujiberkala-dstj-dephub-go-id-v1-qr-rfid273-orfuet57ub.edgeone.app

Submitted: Mar 12, 2026, 7:45:51 PMCompleted: Mar 12, 2026, 7:47:04 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ujiberkala-dstj-dephub-go-id-v1-qr-rfid273-orfuet57ub.edgeone.app and was registered NaN years ago.

Submitted URL: https://ujiberkala-dstj-dephub-go-id-v1-qr-rfid273-orfuet57ub.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

news media journalism

(41%)

Domain Information

The domain 'ujiberkala-dstj-dephub-go-id-v1-qr-rfid273-orfuet57ub.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'ujiberkala-dstj-dephub-go-id-v1-qr-rfid273-orfuet57ub'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Tokenizing the label suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ujiberkala-dstj-dephub-go-id-v1-qr-rfid273-orfuet57ub.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:147 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism41% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
41%
documentation technical
32%
healthcare medical
32%
adult content
31%
real estate property
27%

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

T1DC52C8C5EFE61ACCA41BC0585FBE6B292629E003E44CC59CB59E0EB0CF44585B4FB5B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBouhB+hBmhB2hBRhBYhBoh1RaXQl:KrzhNK/lMHmGgdkq2yqqNEUd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14169:cAQSdXQwBQMRNBQFAQGCiAACKIA8nQVBFAALABACiGEWAbEYAIE0ixHAXRdAINbAgWyUZQj0wOFYJIrgYAImAioAOiZCBFEB

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:dcfcbcbc3c3c0000
Perceptual Hash:da9a6c389865c7c3
Difference Hash:3030607030700000
Wavelet Hash:dcfcfcfcfc1c0000
Color Hash:#6ce09c

Other Hashes

Crop Resistant:3030607030700000

Scan History

Scan history not available

Unable to load historical scan data