Security Scan Report: smile.unp.ac.id

Redirected to:
https://smile.unp.ac.id/elearning/
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Submitted: Jun 29, 2026, 2:59:03 AMCompleted: Jun 29, 2026, 3:00:17 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 38 HTTP transactions. The main domain is smile.unp.ac.id and was registered NaN years ago.

Submitted URL: https://smile.unp.ac.id

Effective URL: https://smile.unp.ac.id/elearning/Redirected

The Cisco Umbrella rank of the primary domain is #327,771 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

The site appears to be a legitimate university e‑learning portal with no malicious indicators.

Safety Factors
Old domain age
Self‑brand matches domain
Absence of forms that collect credentials or payments
No malicious IoC, YARA, or IDS detections
Domain age information unavailable

Details

Page Title

Home | SMILE UNP

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(80%)

Domain Information

The domain 'smile.unp.ac.id' uses the Indonesian country-code top-level domain (.ac.id), featuring subdomain 'smile'. The registrable portion 'unp' spans 3 characters with one vowel and 2 consonants. It segments into two words: un, p. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://smile.unp.ac.id

Page Load Overview

6.62s
Total Load Time
38
HTTP Requests
4
Domains
63 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:186 chars
Detector Agreement:67%

Website Classification

Primary Category

education learning80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
80%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.251.13.94United States
AS15169Google LLC
9103.216.87.43Indonesia
AS63499Universitas Negeri Padang
9142.251.13.95United States
AS15169Google LLC
9116.206.199.167Bogor, West Java, Indonesia
AS133800PT Biznet Gio Nusantara
384--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134E2D85964E81953D2A3D0DBB5227E091A66F107858C4C11B6BC47EC4FC3F9CA9CF2BA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:AhkXo2V/SRdCf6hdA41rU+xoqStj75hd1SJH314g6yYTNYQb8cQ:AhkY2VS3/hx1rU+BYj7rSl3P6xTmQbfQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33848:SIXHgEHUgsgREXAASmUQiC1Akh0XBBARkLEoJSEAJAJIEAhhAGb0qRQwDTCRJBMFDFAAgdgqEgEKjUHRqCKQKwDAAJTbMQB5

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:00ffffffffffffff
Perceptual Hash:ba3a3a2a2a6a6e6a
Difference Hash:7d30010000000000
Wavelet Hash:000fffff00000000
Color Hash:#2d8630

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data