Security Scan Report: badanpangan.go.id

Submitted: Apr 7, 2026, 1:07:40 PMCompleted: Apr 7, 2026, 1:09:19 PMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 12 domains to perform 1 HTTP transaction. The main domain is badanpangan.go.id and was registered NaN years ago.

Submitted URL: https://badanpangan.go.id

The Cisco Umbrella rank of the primary domain is #751,661 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

The site appears to be a legitimate government website with no phishing or malware indicators.

Safety Factors
Well‑established domain (registered 2022‑02‑25)
Official government agency (Badan Pangan Nasional) branding matches domain
No suspicious redirects or cross‑origin credential exfiltration
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Badan Pangan Nasional - Home

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

government public service

(84%)

Domain Information

Domain 'badanpangan.go.id' uses the Indonesian country-code top-level domain (.go.id) with no subdomain. Count 11 characters in 'badanpangan' containing four vowels alongside 7 consonants. It segments into 4 words: bad, an, pang, an. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://badanpangan.go.id

Page Load Overview

6.42s
Total Load Time
121
HTTP Requests
17
Domains
5.7 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
Text Length:2,414 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
84%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11103.18.117.236Indonesia
AS132634Direktorat E-Goverment Kementerian KOMINFO
10142.250.154.136United States
AS15169Google LLC
10172.66.0.227United States
AS13335Cloudflare, Inc.
10142.251.13.94Unknown
10188.114.97.3United States
AS13335Cloudflare, Inc.
10146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
10142.251.13.95UnknownUnknown
10142.251.14.97United States
AS15169Google LLC
10104.16.174.226United States
AS13335Cloudflare, Inc.
10104.26.2.143UnknownUnknown
12112--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183C3E96272A1083F35A349F4B750BF1D794ED143D69BACA8BEAC42517FCEDB61942308

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VvcP5/tseKphjkngHldrUOsujJwbrv7dAwGn8T03BgV6Rgi:qP5/zKphogHlduvCpgi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126143:BmdIGFUDC5KiqpSClQQjAGRBYggB7CICgHAhDNMEYA8apFBkCUPauSAIuI5BBjR2cgiCAhOQKIRD0DCYApIkVVAJBAoLDgDI

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:f7fffefeff818181
Perceptual Hash:bbd46b2ec07b1462
Difference Hash:cc2b5cccc4333b1b
Wavelet Hash:00c7fe7eff818181
Color Hash:#81e06c

Scan History

Scan history not available

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