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Security Scan Report: aiska-university.ac.id

Redirected to: https://unisa-surakarta.ac.id/

Submitted: Jan 21, 2026, 7:44:09 PMCompleted: Jan 21, 2026, 7:45:33 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 12 domains to perform 1 HTTP transaction. The main domain is unisa-surakarta.ac.id and was registered NaN years ago.

Submitted URL: https://aiska-university.ac.id

Effective URL: https://unisa-surakarta.ac.id/Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

New university‑related domain with no obvious malicious activity; proceed carefully.

Risk Factors
Very new domain (registered 14 days ago) increases likelihood of phishing or scam use
Safety Factors
No forms collecting credentials or payment information
No malicious Indicators of Compromise detected
Single redirect to final URL matches the displayed university name
Domain age information unavailable

Details

Page Title

Home | Universitas 'Aisyiyah Surakarta

Scan Type

public

Language

🇮🇩

ID

(49% confidence)

Category

government public service

(43%)

Domain Information

Within the Indonesian country-code top-level domain (.ac.id), 'aiska-university.ac.id' is registered. The registrable portion 'aiska-university' spans 16 characters split between 7 vowels and eight consonants, notching 1 hyphen. Tokenizing the label suggests four words: a, is, ka, university. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aiska-university.ac.id

Page Load Overview

15.54s
Total Load Time
116
HTTP Requests
16
Domains
16.0 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:49%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:49%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:3,348 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

government public service43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
43%
healthcare medical
43%
education learning
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.185.99United States
AS15169GOOGLE
9151.101.65.91United States
AS54113
9104.17.24.14United States
AS147129
9172.67.69.227United States
AS13335
9142.250.185.106United States
AS15169GOOGLE
9104.21.66.33United States
AS13335CLOUDFLARENET
9104.21.27.152United States
AS13335CLOUDFLARENET
9142.250.184.214United States
AS15169GOOGLE
9142.250.185.74United States
AS15169GOOGLE
9216.58.206.46United States
AS15169GOOGLE
11612--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A336371D9F0006B414392E6A2A5AF1A6FA5C21BDA8BDA0877FC47D59FC3CD68D0325C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:KSLtcsNazuDcpSaVaxaOmva1megv7ayaca8aRbaraCamaQaha2uCb9G:KHpwUOmi1megvGtHnRmWdpzk4G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52320:FacCMQ5SAARUociAmgBIkFggAGUxcD1CUGUiiBEbTiQNU0eBwraAAUDUkUCiEYOnkx4CpxM+lopOBSIcpEAArEIUCRGBGCCw

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:00357ffb3f0b0979
Perceptual Hash:817e72336c59a396
Difference Hash:d1d5faa2d6db99d1
Wavelet Hash:00037ffb3f0b0979
Color Hash:#bf409b

Other Hashes

Crop Resistant:d1d5faa2d6db99d1,9994c4ea7a7aae9a,d6c621d3d1d129a5,bd4d73372c6cf9f1,9e5636bf8fc3a5ac,ce972375715bd9e9

Scan History

Scan history not available

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