Security Scan Report: molina-botview.imigrasi.go.id

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Submitted: May 30, 2026, 1:19:33 AMCompleted: May 30, 2026, 1:20:51 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is molina-botview.imigrasi.go.id and was registered NaN years ago.

Submitted URL: https://molina-botview.imigrasi.go.id

The Cisco Umbrella rank of the primary domain is #267,694 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no malicious indicators.

Safety Factors
Well‑established domain with long registration history
Absence of forms or credential collection
No IoC or IDS alerts
Low ranking does not imply impersonation
Domain age information unavailable

Details

Page Title

Imigrasi - Heldpesk Chatbot

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the Indonesian country-code top-level domain (.go.id), 'molina-botview.imigrasi.go.id' is registered; it also runs on subdomain 'molina-botview'. Count 8 characters in 'imigrasi' with 4 vowels and four consonants. Breaking it apart gives 4 words: i, migr, as, i. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://molina-botview.imigrasi.go.id

Page Load Overview

2.20s
Total Load Time
10
HTTP Requests
1
Domains
132 KB
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:35 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10150.171.109.53United States
AS8075Microsoft Corporation
101--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102F11129F405ED8BECAA3A69103EED3F10CE946F4BA5DEB842C9CE5407414796793DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nGvXZtU7ZuMFpn+Xe0S8eaZHRcUYxa7cg1xqzc/xmWzD7lahSYExqzxSuG6hSuzd:GvJe7ZuMn9xgnqzcpmW3qzKVxC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7719:AAAAJoEkAUsAICrIEMIyBQyGAQgbBQAok0SMVKAMYWBoCOBQCcgCgAsBAAggikCs1EJW0ZAAaYACAEwoCSCUEMNckAEEZQsQ

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:0000001818000000
Perceptual Hash:88663399cc663399
Difference Hash:0000081010080000
Wavelet Hash:c0c0fcfc3c3c3c3c
Color Hash:#a1d279

Other Hashes

Crop Resistant:0000081010080000

Scan History

Scan history not available

Unable to load historical scan data