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Security Scan Report: ujiberkala-dstj-dephub-go-id-v1-qr-rfid41-9png9mpaax.edgeone.app

Submitted: Feb 18, 2026, 4:15:38 AMCompleted: Feb 18, 2026, 4:16:49 AMpubliccompleted
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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-rfid41-9png9mpaax.edgeone.app and was registered NaN years ago.

Submitted URL: https://ujiberkala-dstj-dephub-go-id-v1-qr-rfid41-9png9mpaax.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 security concerns detected; site appears legitimate.

Safety Factors
Well-established domain (>2 years old)
No credential or payment forms
No malicious Indicators of Compromise
No external links or redirects
Domain age information unavailable

Details

Page Title

ujiberkala-dstj-dephub-go-id-v1-qr-rfid41-9png9mpaax.edgeone.app

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

news media journalism

(66%)

Domain Information

You're looking at domain 'ujiberkala-dstj-dephub-go-id-v1-qr-rfid41-9png9mpaax.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'ujiberkala-dstj-dephub-go-id-v1-qr-rfid41-9png9mpaax'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Splitting it apart reveals two 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://ujiberkala-dstj-dephub-go-id-v1-qr-rfid41-9png9mpaax.edgeone.app/

Page Load Overview

2.31s
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:109 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism66% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
66%
cryptocurrency blockchain
63%
documentation technical
60%
adult content
60%
healthcare medical
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8Old6:EhoC9JSqzzbs6o3Sj3gcrss2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184711:YOwCRAOWhKAQEEcEbASQCJFEGHYI+BvExSIFEAAbKCHhdSFMC0qgG4CQQQQAiAkQS4xzCBCREMWYBawFPAFbICCOCNgAAREC

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc333323
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#79d2aa

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data