Security Scan Report: megapolitan.kompas.com

Bot Protection Detected

This website is protected by perimeterx bot protection. The screenshot and page details below show the page as it was captured.

Site favicon
Submitted: Sep 7, 2026, 2:59:33 PMCompleted: Sep 7, 2026, 3:01:19 PMpubliccompleted

Summary

This website contacted 80 IPs in 8 countries across 56 domains to perform 2 HTTP transactions. The main domain is megapolitan.kompas.com and was registered 17 years ago.

Submitted URL: https://megapolitan.kompas.com

The Cisco Umbrella rank of the primary domain is #24,095 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page is a legitimate news article site with no malicious indicators.

Safety Factors
Established domain with long registration history
Self‑branding aligns with domain
No malicious IoC or YARA detections
No credential or payment collection
Page type is article (news content)
Domain age information unavailable

Details

Page Title

Berita Megapolitan Peristiwa Terbaru Hari Ini

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

education learning

(97%)

Domain Information

Within the commercial generic top-level domain (.com), 'megapolitan.kompas.com' is registered; it also runs on subdomain 'megapolitan'. The registrable portion 'kompas' spans 6 characters holding two vowels versus 4 consonants. Breaking it apart gives 2 words: kom, pas. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of 4fcc269481bc.e76cb985.eu-central-1.token.awswaf.com

Page Load Overview

1.04s
Total Load Time
206
HTTP Requests
56
Domains
2.7 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:67,820 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning97% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
97%
healthcare medical
94%
government public service
87%
documentation technical
67%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4854.192.35.123Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.245.86.67Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2185.184.8.90Amsterdam, North Holland, Netherlands
AS204995RTB Marketing and Tech Services Ltd
2108.137.60.180Aws · CLOUDJakarta, Jakarta, Indonesia
AS16509Amazon.com, Inc.
269.173.156.138Netherlands
AS26667Magnite, Inc.
218.245.86.62Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
223.2.69.131Bogotá, Bogota D.C., Colombia
AS16625Akamai Technologies, Inc.
299.84.152.31Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.31.102.110Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2104.18.26.193Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20680--

Page Statistics

206
Requests
56
Unique Domains
4.6 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C310A2798BAC0CD54D1162A45A733092A90CD13471CD4163DDFE7B42F2CBF2858326C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRYwoFJVe/323o1xMjROvJxx7PYN0yFmohz9UReQjMy40vHCXtraAqTAVWWVG:TmJ223oNJxx7PYNjzz9UReQAzXlaAZy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1606:AAAAAAAEAEAAAABIAAACYAAAAAAAIAAAIAJAAAAAAABYQBAgwAAAIQEEAAAAAAAAAACAAAAAYEAAAAAACAGAAIAAAAAABUIA

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:0000ffffe3ffffff
Perceptual Hash:ed121a6b631a39e5
Difference Hash:5823000f0f2b3303
Wavelet Hash:0000cbe7c383fbfb
Color Hash:#b879d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data