Security Scan Report: ujiberkala-dstj-dephub-v1-qr-rfid060-oocmpgpj71.edgeone.app

Submitted: Jan 18, 2026, 4:27:50 PMCompleted: Jan 18, 2026, 4:28:59 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-v1-qr-rfid060-oocmpgpj71.edgeone.app and was registered NaN years ago.

Submitted URL: https://ujiberkala-dstj-dephub-v1-qr-rfid060-oocmpgpj71.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; the site appears legitimate.

Safety Factors
Established domain (>365 days)
No forms or credential collection
No malicious Indicators of Compromise
Content appears to be a simple file collection page
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(42%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ujiberkala-dstj-dephub-v1-qr-rfid060-oocmpgpj71.edgeone.app' is registered and includes subdomain 'ujiberkala-dstj-dephub-v1-qr-rfid060-oocmpgpj71'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ujiberkala-dstj-dephub-v1-qr-rfid060-oocmpgpj71.edgeone.app/

Page Load Overview

0.36s
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:74 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism42% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
42%
healthcare medical
28%
government public service
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

T13542A8C5EFE61ACCA41BC0585FBF67292229E053D44CC95CB59E0E64CF45185B4FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBozhBThBrhBLhBzh1RaXQl:KrzhNK/lMHmGgdkqb/nn/d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12237:cA0CVXAEDZMwtJwkCSWIyAASAEmMCwQBMBCPgACKiDI6SIMOoKA2wzigDQ8CgMfAgXm2RQAkzOTaBCpAKgImSCoROTZGgI0j

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:dcfcfcfcbc800000
Perceptual Hash:da9a3869988a6767
Difference Hash:3030606060000000
Wavelet Hash:dcfcfcfcfcc08000
Color Hash:#53a2ac

Other Hashes

Crop Resistant:3030606060000000

Scan History

Scan history not available

Unable to load historical scan data