Security Scan Report: www.myncunsubme.store

Submitted: Jul 17, 2026, 9:28:53 PMCompleted: Jul 17, 2026, 9:30:28 PMpubliccompleted
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Summary

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

Submitted URL: https://www.myncunsubme.store

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site hosts a basic unsubscribe form without any malicious indicators; it is considered legitimate.

Safety Factors
Simple unsubscribe form with only email field
No external form submission or credential exfiltration
No brand impersonation
Domain age information unavailable

Details

Page Title

Unsubscribe - My Django App

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

technology software

(36%)

Domain Information

The domain 'www.myncunsubme.store' uses the .store top-level domain; it also runs on subdomain 'www'. Count 11 characters in 'myncunsubme' with 3 vowels and eight consonants. Breaking it apart gives five words: my, nc, un, sub, me. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.myncunsubme.store

Page Load Overview

0.35s
Total Load Time
4
HTTP Requests
2
Domains
195 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
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
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
252.223.53.203Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13531552190F3295F209384E439E966009DD4C083C70A491536EC2BFA5FC6D4E9EE33D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:dXBuNYfeZD3B5C5jq0pdRCJfoifpd0kSqM0TsIgQ9Ti/ZdPL6RW94mQH/yA:lBu6e3e5GJwif6OV9T4l6BNfx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1874:AADAAAgBAAAAASAAEAAAQgIBAEAIAGAGAEAAAMAESAAAAAMAAEAAIIBAEABoAgBAAACAAAABEAAAgAEAAAAAAApAASAAAIAA

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:#931f27

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data