Security Scan Report: www.clean-inbox.site

Submitted: Jan 1, 2026, 12:52:26 PMCompleted: Jan 1, 2026, 12:53:57 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is clean-inbox.site and was registered NaN years ago.

Submitted URL: https://www.clean-inbox.site

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; the page appears legitimate.

Safety Factors
Standard unsubscribe functionality
No credential or payment collection
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.clean-inbox.site' uses the .site top-level domain, featuring subdomain 'www'. The registrable portion 'clean-inbox' spans 11 characters containing 4 vowels alongside 6 consonants; bonus characters include 1 hyphen. Breaking it apart gives 3 words: clean, in, box. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.clean-inbox.site

Page Load Overview

2.57s
Total Load Time
4
HTTP Requests
2
Domains
191 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
215.197.253.240United States
AS16509AMAZON-02
2104.16.175.226United States
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E141336590F32E9F108398A839EA66009DD4C093C74A490436EC3BFA4FD6D4E9DD33D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hrXBuNYfeZD3B5C5jq0pdRCJfoifpd0kSqM0TsLXYDGI5Ti/ZdPL6RW94mQH/yA:pBu6e3e5GJwif6FXYLT4l6BNfx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1889:ACAEEFAAAAQAAAIACABAABAIAEAQBAAgICAAAAAAAAAIggAAAkAAAiABIgABCAQCIAAAQAACAwBACACgAAAAAAAgEBAAkAAg

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:954a7a6362c967a6
Difference Hash:f0f8f8f8ecfcf8fc
Wavelet Hash:001c3e3e3e3e3f0e
Color Hash:#783a40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data