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Security Scan Report: uinsa.ac.id

Submitted: Feb 26, 2026, 10:14:03 PMCompleted: Feb 26, 2026, 10:16:03 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is uinsa.ac.id.

Submitted URL: https://uinsa.ac.id

The Cisco Umbrella rank of the primary domain is #639,809 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site shows a 403 error, has no malicious indicators, but unknown age and low ranking give it a moderate risk rating.

Risk Factors
Unknown domain age – cannot verify establishment
Low Cisco Umbrella ranking (outside top 100k)
Page inaccessible (403 Forbidden) – no visible content
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns found
No network IDS alerts detected
Served over HTTPS
Domain age information unavailable

Details

Page Title

403 Forbidden

Scan Type

public

Language

🇩🇰

Danish

(74% confidence)

Category

unknown

(0%)

Domain Information

Domain 'uinsa.ac.id' uses the Indonesian country-code top-level domain (.ac.id) and has no subdomain. The registrable portion 'uinsa' spans 5 characters containing three vowels alongside two consonants. Breaking it apart gives four words: u, in, s, a. Median word length is 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uinsa.ac.id

Page Load Overview

0.71s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:74%
Script Type:Latin
Text Length:27 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.218.106.214Jakarta, Jakarta, Indonesia
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Amazon Web Services
50%
Amazon ELB
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13EF0E29BAF19203F3F2381B0F4C72268DF640A16EF8924D28749011F728900288F5FAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxRgsoCbx0Aqogs01lIHTF83TF83TF83TF83TF83TFf:kYEmAUtnSTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7f7548cd6d3cf66efef1d0081dd6e436

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:e7ffffffffffffff
Perceptual Hash:e666666666666626
Difference Hash:0c00000000000000
Wavelet Hash:e0f8f0f0f0f0f0f0
Color Hash:#6f3a78

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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