Security Scan Report: digilib.uinsgd.ac.id

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Submitted: Jan 8, 2026, 2:14:54 AMCompleted: Jan 8, 2026, 2:17:33 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 49 HTTP transactions. The main domain is digilib.uinsgd.ac.id and was registered NaN years ago.

Submitted URL: https://digilib.uinsgd.ac.id

The Cisco Umbrella rank of the primary domain is #135,608 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established university domain (.ac.id)
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Welcome to Digital Library UIN Sunan Gunung Djati Bandung - Digital Library UIN Sunan Gunung Djati Bandung

Scan Type

public

Language

🇺🇸

English

(30% confidence)

Category

technology software

(46%)

Domain Information

You're looking at domain 'digilib.uinsgd.ac.id' on the Indonesian country-code top-level domain (.ac.id); it also runs on subdomain 'digilib'. Count 6 characters in 'uinsgd' containing 2 vowels alongside four consonants. Word splitting yields three words: u, in, sgd. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://digilib.uinsgd.ac.id

Page Load Overview

90.20s
Total Load Time
21
HTTP Requests
2
Domains
789 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:30%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:30%
Script Type:Latin
Text Length:1,080 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
46%
documentation technical
44%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7216.58.206.36United States
AS15169GOOGLE
7103.55.33.119Indonesia
AS63879UIN Sunan Gunung Djati Bandung
7142.250.185.67IndonesiaUnknown
213--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A33221B3D4F19926138047D6F9B5BB2C8A4B444BCBC09D15F5AD087AAF96DA30D8378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:AuELa0DrafRvpyz9CJJdDb8KeUSnltk3TnLwbaU/8WAkcuzJNXni9wYDuY9pJGow:Amvyw18DUUk3TnUeU0jI/niCIuG4ow

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11334:gCQiAZUGgRgYIJwbRIAsmwRIxJ1NwQpMCSXGsgQmDUhBKxACCwwBQUFfQD0AZGDhqjwkGEFAzQJBRCAiBQoBEEAgNKMASRIJ

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:0000ffc7c7c7ffff
Perceptual Hash:b5070f0f0f87a58d
Difference Hash:600c141e161e3000
Wavelet Hash:0000c3c3c3c7feff
Color Hash:#6c40bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data