Summary
API
This website contacted 5 IPs in 3 countries across 7 domains to perform 81 HTTP transactions. The main domain is setneg.go.id and was registered 20 years ago.
Submitted URL: https://www.setneg.go.id
The Cisco Umbrella rank of the primary domain is #443,619 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The site appears to be the legitimate government portal with no phishing or malware indicators.
Safety Factors
Details
Page Title
Kementerian Sekretariat Negara RI
Scan Type
public
Domain Name Analysis
Domain 'www.setneg.go.id' uses the Indonesian country-code top-level domain (.go.id) with subdomain 'www'. The core label 'setneg' covers 6 characters holding 2 vowels versus 4 consonants. Splitting it apart reveals three words: set, ne, g. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 17 | 142.250.154.97 | United States | AS15169Google LLC |
| 16 | 203.130.230.3 | Indonesia | AS7713PT Telekomunikasi Indonesia |
| 16 | 36.66.206.36 | South Tangerang, Banten, Indonesia | AS7713PT Telekomunikasi Indonesia |
| 16 | 202.89.117.208 | Indonesia | AS45320Departemen Komunikasi dan Informasi Republik Indonesia |
| 16 | 79.127.211.90 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 81 | 5 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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