Security Scan Report: neosia.unhas.ac.id

Redirected to:
https://neosia.unhas.ac.id/login
Site favicon
Submitted: Sep 27, 2026, 6:37:18 PMCompleted: Sep 27, 2026, 6:37:58 PMpubliccompleted

This website contacted 9 IPs in 2 countries across 5 domains to perform 22 HTTP transactions. The main domain is neosia.unhas.ac.id and was registered 18 years ago.

Submitted URL: https://neosia.unhas.ac.id

Effective URL:

https://neosia.unhas.ac.id/login
Redirected

The Cisco Umbrella rank of the primary domain is #254,276 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Official Universitas Hasanuddin academic portal (neosia.unhas.ac.id), a 28-year-old institutional domain with its own same-origin login form. No impersonation, no threat-intel, YARA, or IDS hits. Safe to use.

Risk Factors (1)
Single Function() constructor call in JavaScript (common in legitimate bundled scripts, weak signal only)
Safety Factors (4)
Established domain (28 years old) belonging to a known Indonesian state university
Login page uses its own institutional branding on its own official domain
No threat-intelligence matches, malware signatures, or network IDS alerts
No payment fields and no cross-origin credential submission
Domain age information unavailable

Details

Page Title

Login | Portal Akademik

Scan Type

public

Domain Name Analysis

The domain name 'neosia.unhas.ac.id' uses the Indonesian country-code top-level domain (.ac.id), featuring subdomain 'neosia'. Count 5 characters in 'unhas' with two vowels and 3 consonants. It segments into 2 words: un, has. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://neosia.unhas.ac.id

Page Load Overview

3.58s
Total Load Time
10.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:171 chars
Detector Agreement:50%

Website Classification

Primary Category

forum community discussion48% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

forum community discussion
48%
phishing scam
46%
education learning
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
63.174.46.51Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
2103.195.142.182Indonesia
AS134614Universitas Hasanuddin
23.174.45.75Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
23.174.46.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.174.46.2Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.174.46.28Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.174.45.120Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
229--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B1420443BB125087A2AC369F1A3F7516329B003A66FEC7BF7A03D5C9F895058493E97

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/4UhlYg5ZYZuOzeYSq90F3mpfiW2akorzjU:/4UhxFYSW2akornU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:201560:qkooBUJiZBAgTQsORIAZDGAEQQAi9gBNEwQEAjAhTYKCKeYsyAFDFBFBQEyhhKVEEABUAJIQRhwVUAqGxMog8RJeRYIoN5zQ

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:ffffe7e7e7ffffff
Perceptual Hash:e763989899636666
Difference Hash:0c324d4d28080000
Wavelet Hash:03030303c7dfcfcf
Color Hash:#4d783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data