Security Scan Report: opac.isibali.ac.id

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Submitted: Jul 13, 2026, 12:20:43 AMCompleted: Jul 13, 2026, 12:22:02 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 opac.isibali.ac.id and was registered NaN years ago.

Submitted URL: https://opac.isibali.ac.id

The Cisco Umbrella rank of the primary domain is #525,922 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 90%

1
Risk Score

The site appears legitimate with no malicious indicators.

Safety Factors
Established domain age
Self‑branding matches domain
Educational library content
No malicious scripts or exfiltration
Domain age information unavailable

Details

Page Title

UPA. Perpustakaan | Institut Seni Indonesia Bali

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

education learning

(87%)

Domain Information

Within the Indonesian country-code top-level domain (.ac.id), 'opac.isibali.ac.id' is registered, featuring subdomain 'opac'. Its registrable label 'isibali' stretches across 7 characters holding four vowels versus 3 consonants. Segmentation suggests three words: is, i, bali. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://opac.isibali.ac.id

Page Load Overview

10.85s
Total Load Time
71
HTTP Requests
2
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
Text Length:3,327 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
87%

Detected Features

Search
OG: book

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
71104.26.1.129Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
711--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110F2847024F9153B01A384D5E835AB09AED3C347C7076A08B1FC5BE55FDAC4A886B6BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:H3Z5sCWPdCCINi8+mSg3nPBD/jEAylUVRFE9i6HzPc5zTMn:HRlBD/jEL905zTMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36037:bABAADCCCom6wGSB0DAnZxKpHBUloBoqMUEBRwAEuB5HEuOBghDmEAQwGGOQBMMGghqpSSKARNkAxEBghT0CdMBJAoFhlMoI

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:00000010ffffffff
Perceptual Hash:981939bd9b0a23b7
Difference Hash:337171e9008e343a
Wavelet Hash:00000000ffffffff
Color Hash:#742d86

Other Hashes

Scan History

Scan history not available

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