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Security Scan Report: munit.io

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Submitted: Dec 5, 2025, 1:09:14 AMCompleted: Dec 5, 2025, 1:12:16 AMpubliccompleted
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Summary

This website contacted 46 IPs in 3 countries across 16 domains to perform 152 HTTP transactions. The main domain is munit.io and was registered NaN years ago.

Submitted URL: https://munit.io/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well-established domain with long registration history
Absence of malicious Indicators of Compromise
No forms collecting sensitive data
Clear legitimate branding and contact information
Domain age information unavailable

Details

Page Title

Home - Munitio

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

suspicious phishing

(59%)

Domain Information

The domain name 'munit.io' uses the British Indian Ocean Territory country-code top-level domain (.io) without a subdomain. The registrable portion 'munit' spans 5 characters holding 2 vowels versus 3 consonants. Word splitting yields 2 words: m, unit. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://munit.io/

Page Load Overview

1.17s
Total Load Time
152
HTTP Requests
16
Domains
2.1 MB
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-US
Text Length:6,546 chars
Detector Agreement:75%

Website Classification

Primary Category

suspicious phishing59% confidence
Type: spa
Method: ml+structural

All Detected Categories

suspicious phishing
59%
corporate
35%
malicious
33%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
119192.0.78.131San Francisco, California, United States
AS2635AUTOMATTIC
6216.58.212.136United States
AS15169GOOGLE
6192.0.77.32San Francisco, California, United States
AS2635AUTOMATTIC
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
313.226.244.104United States
AS16509AMAZON-02
3150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3104.26.13.42United States
AS13335CLOUDFLARENET
323.32.238.219Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3192.0.78.200San Francisco, California, United States
AS2635AUTOMATTIC
3216.239.32.36United States
AS15169GOOGLE
15246--

Detected Technologies10

WordPress
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%
PHP
50%
MySQL
50%
WordPress.com
40%
HTTP/3
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12484B6A0B6161F3EB26F13AEF543B608548B7177E79949F5F0BE000C59D9E82326271B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FbqKqpjsVXYRLNlUPs20993Ee1XJEoG0U5WPxDhcunmQjaXubS+cBCFok5JE3L:1zSNlUPsz8FL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:386517:jCkYjadsDi0oiGIGQUxJFBEAzHDmEegihHARSAEYoSlNmD1jJIDSAANAAAKiQiBDCEQWE4Y5YjlDMBrF2QxaUBDkDMIYQiiG

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:000018181c7e7e3c
Perceptual Hash:8a2da7833d832f8d
Difference Hash:2b317171f1f8e8e1
Wavelet Hash:0110183c3c7e7f7f
Color Hash:#ad87c5

Other Hashes

Crop Resistant:cbcbcbf0c2c0c8c6,e8a8d2b6b68088e0,2b337171f1f8e8e0

Scan History

Scan history not available

Unable to load historical scan data