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Security Scan Report: ujiberkala-dstj-dephub-go-id-v1-qr-rfidd06-mtbwlceiwt.edgeone.app

Submitted: Apr 4, 2026, 8:49:01 AMCompleted: Apr 4, 2026, 8:50:10 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-rfidd06-mtbwlceiwt.edgeone.app and was registered NaN years ago.

Submitted URL: https://ujiberkala-dstj-dephub-go-id-v1-qr-rfidd06-mtbwlceiwt.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: 92%

2
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Hosted on known platform edgeone.app
No credential or payment fields present
No network IDS alerts
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(64%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ujiberkala-dstj-dephub-go-id-v1-qr-rfidd06-mtbwlceiwt.edgeone.app' is registered, featuring subdomain 'ujiberkala-dstj-dephub-go-id-v1-qr-rfidd06-mtbwlceiwt'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Word splitting yields two words: edge, one. Median word length comes out to 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-rfidd06-mtbwlceiwt.edgeone.app/

Page Load Overview

0.98s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:121 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical64% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
64%
healthcare medical
28%

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

T11D52C8C1EFE61ACCA42BC0595FBE672A2629E013D44DC59CB59E0EB0CF44185B4FB1B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBoShBkhBEhBMhBMhBQhBKXh1RaXQl:KrzhNK/lMHmGgdkqaQAIo0od

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14153:NEQSNHSdLwdQPZRmDSGIiBAiAmEEC4QBMIYJAAAKmGEQAIEOhIC2gzhAKQUMQIaCgSn0RSEkdGTYpIjIODcOgDoAvz7CABkj

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:dcdcbcbc3c3c0000
Perceptual Hash:da9a61389a65c7c3
Difference Hash:3030706070600000
Wavelet Hash:dcfcfcfcbc3c0000
Color Hash:#931f69

Other Hashes

Crop Resistant:3030706070600000

Scan History

Scan history not available

Unable to load historical scan data