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Security Scan Report: www.mncunsubme.online

Submitted: Oct 21, 2025, 7:42:27 PMCompleted: Oct 21, 2025, 7:43:08 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is mncunsubme.online and was registered NaN years ago.

Submitted URL: https://www.mncunsubme.online/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

New domain with a simple unsubscribe form and no malicious indicators; low risk.

Risk Factors
Domain is less than 90 days old (new domain)
Safety Factors
No password or payment collection
No malicious Indicators of Compromise
Simple unsubscribe functionality only
Domain age information unavailable

Details

Page Title

Unsubscribe - My Django App

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

technology software

(36%)

Domain Information

The domain 'www.mncunsubme.online' uses the modern generic top-level domain (.online) with subdomain 'www'. The registrable portion 'mncunsubme' spans 10 characters holding three vowels versus seven consonants. Breaking it apart gives 5 words: m, nc, un, sub, me. The median word length lands at 2 characters. The linguistic tilt is Latvian for 'm'. Usage also turns up in Catalan and Italian contexts.

Screenshot

Security scan screenshot of https://www.mncunsubme.online/

Page Load Overview

3.41s
Total Load Time
4
HTTP Requests
2
Domains
195 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
HTML Lang Attribute:ru
Text Length:158 chars
Detector Agreement:100%
Language mismatch: Declared as ru but detected as en

Website Classification

Primary Category

technology software36% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
015.197.253.240United States
AS16509AMAZON-02
052.223.53.203United States
AS16509AMAZON-02
0104.16.174.226United States
AS13335CLOUDFLARENET
02606:4700::6810:aee2United States
AS13335CLOUDFLARENET
0104.16.175.226United States
AS13335CLOUDFLARENET
099.83.185.157United States
AS16509AMAZON-02
02606:4700::6810:afe2United States
AS13335CLOUDFLARENET
03.33.249.164United States
AS16509AMAZON-02
48--

Detected Technologies1

X-UA-Compatible
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF31312190F3299F209384A439EA66049DD4C483C71A490536EC2BEA8FC6D4E8EE73D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:dXBuNYfeZD3B5C5jq0pdRCJfoifpd0kSqM0TsLD/qTi/ZdPL6RW94mQH/yA:lBu6e3e5GJwif6sT4l6BNfx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1874:AADAAAgBAAAAACAAEAAAQAIBAEAIAGAGAEAAAMAESAAACAMAAEAAIIBAEABoAgBAAACAAAABEAAAgAEAAAAAAAhAASAAAIAA

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:001c3e3e3e3e3e0e
Perceptual Hash:954a7a626ac967a6
Difference Hash:f0f0f8f8ecfcf8fc
Wavelet Hash:001c3e3e3e3e3f0e
Color Hash:#1f937c

Other Hashes

Crop Resistant:f0f0f8f8d8f8f8fc,f0f0f8f8ecfcf8fc

Scan History

Scan history not available

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