Security Scan Report: apple.umpku.ac.id

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Submitted: Feb 17, 2026, 3:40:27 PMCompleted: Feb 17, 2026, 3:41:59 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is apple.umpku.ac.id and was registered NaN years ago.

Submitted URL: https://apple.umpku.ac.id/site/login

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

High‑risk phishing site impersonating Apple; do not provide credentials or personal data.

Risk Factors
Brand impersonation / typosquatting (Apple branding on unrelated domain)
Unranked domain used for brand spoofing
Domain age information unavailable

Details

Page Title

apple.umpku.ac.id

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

Within the Indonesian country-code top-level domain (.ac.id), 'apple.umpku.ac.id' is registered and includes subdomain 'apple'. Count 5 characters in 'umpku' split between two vowels and three consonants. Tokenizing the label suggests 2 words: ump, ku. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apple.umpku.ac.id/site/login

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:747 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
56%
adult content
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.21.43.40United States
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:sfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8OldD:PhoC9JSqzzbs6o3Sj3gcrss2eAN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184506:A4sQ0YYCYBDjAOUjdDBCJLEYAoxmUugAc+QGREGiWEdhcI1LRlQQaBLhLRA4CAchURiEDgAEKAcSIKQVzgAFhiNKB6BwhrBi

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#3a7078

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data