Security Scan Report: st3telkom.ac.id

Submitted: Apr 10, 2026, 9:04:18 PMCompleted: Apr 10, 2026, 9:05:49 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is st3telkom.ac.id and was registered NaN years ago.

Submitted URL: https://st3telkom.ac.id

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No malicious activity detected; site is a placeholder with low risk.

Risk Factors
Domain is unranked in Cisco Umbrella and only 203 days old (moderately new)
Safety Factors
Site uses HTTPS
No login, payment, or credential collection forms
No external malicious links or redirects
No JavaScript malware or suspicious behavior detected
Domain age information unavailable

Details

Page Title

Sorry, the website has been stopped

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

adult content

(27%)

Domain Information

You're looking at domain 'st3telkom.ac.id' on the Indonesian country-code top-level domain (.ac.id). The second-level label 'st3telkom' is 9 characters long containing 2 vowels alongside 6 consonants, along with one digit. Word splitting yields four words: st, 3, tel, kom. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://st3telkom.ac.id

Page Load Overview

0.77s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:129 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content27% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.188.71United States
AS13335Cloudflare, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D43021803DE40A3CD9978D9426B3F3C842A5873DA1C98BD1F5B6DB4CA0D8A47A7F1E5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:JHJYDDQHVZHIs91TXESJBjgBSp00yCqJ3Z+IYM3WiesRQiULO0bpD9tcNQEfdomi:5mDD6oeFUycwpk06hWp1b99c7VE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58268:CyDFhksYAgChBkBKjhbZEETioUDRChUkg2ALzI4EeiIgInIQjhm9EAWXaAy6gJwHIkBAqEAw0wYACgUXEAQwEgkQhBktqiPB

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:ffe7e7e7ffffffff
Perceptual Hash:b326cccc993333c6
Difference Hash:00080c0c00000000
Wavelet Hash:ffe7e7c300000000
Color Hash:#4066bf

Other Hashes

Crop Resistant:00080c0c00000000

Scan History

Scan history not available

Unable to load historical scan data