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Security Scan Report: ujicoba-isbn-digilib-ybbs.pages.dev

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Submitted: May 12, 2026, 2:39:06 PMCompleted: May 12, 2026, 2:40:27 PMpubliccompleted
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Summary

This website contacted 25 IPs in 3 countries across 17 domains to perform 104 HTTP transactions. The main domain is ujicoba-isbn-digilib-ybbs.pages.dev and was registered NaN years ago.

Submitted URL: https://ujicoba-isbn-digilib-ybbs.pages.dev/$%7BcoverUrl%7D

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

The site exhibits critical malware C2 alerts and heavily obfuscated JavaScript on an unranked, likely newly created subdomain, indicating high‑risk malware distribution.

Risk Factors
Critical network IDS alert indicating malware C2 activity
Obfuscated JavaScript with high entropy
Unranked, newly created subdomain on a generic hosting platform
Cross‑origin POST request to external domain (openlibrary.org) without clear purpose
Domain age information unavailable

Details

Page Title

Perpus Digital YBBS - Ceria Edition

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

education learning

(46%)

Domain Information

Domain 'ujicoba-isbn-digilib-ybbs.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'ujicoba-isbn-digilib-ybbs'. The core label 'pages' covers 5 characters split between two vowels and three consonants. Breaking it apart gives one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ujicoba-isbn-digilib-ybbs.pages.dev/$%7BcoverUrl%7D

Page Load Overview

7.94s
Total Load Time
104
HTTP Requests
17
Domains
12.7 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:9,016 chars
Detector Agreement:67%

Website Classification

Primary Category

education learning46% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
46%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8151.101.129.229United States
AS54113Fastly, Inc.
4118.98.239.225Indonesia
AS18051Pustekkom
4104.26.2.143United States
AS13335Cloudflare, Inc.
4172.67.131.186United States
AS13335Cloudflare, Inc.
4104.26.3.143United States
AS13335Cloudflare, Inc.
4118.98.229.233Indonesia
AS18051Pustekkom
4192.178.183.97United States
AS15169Google LLC
476.223.54.146United States
AS16509Amazon.com, Inc.
4142.251.110.94United States
AS15169Google LLC
4104.18.1.22United States
AS13335Cloudflare, Inc.
10425--

Detected Technologies3

HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19324B521A145143FB063D5E7F1518F9E30A4871AE68B055CB7FC92F367CACEBA92129C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Fm+mxhVhOlhthLh0hchahVhvhvh7hx2J87MOYkNBMz7NFBZgQBkl8ERHsW6pe:DlJV/wmv3jba6iH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:217438:gEACEDkaYgKDGkihlBhgHAk2olZkaAywCzBkiQgUggBCEQxIqp3GxwCCRcoYLQQwgMEnABEioCCIIGBiNMQEBqSQ6CggwHAS

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:0018181818181800
Perceptual Hash:898d66337326e699
Difference Hash:cdb2b2b2b2b2b24c
Wavelet Hash:7f1b1b1b1b5858c1
Color Hash:#da6ce0

Other Hashes

Crop Resistant:92aa8696baa223aa,cdb2b2b2b2b2b24c

Scan History

Scan history not available

Unable to load historical scan data