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Security Scan Report: www.unsubgetlost.site

Submitted: Nov 13, 2025, 2:22:29 PMCompleted: Nov 13, 2025, 2:23:40 PMpubliccompleted
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Summary

This website contacted 10 IPs in 0 countries across 2 domains to perform 4 HTTP transactions. The main domain is unsubgetlost.site and was registered NaN years ago.

Submitted URL: https://www.unsubgetlost.site/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Unsubscribe page appears legitimate with low risk despite recent domain registration.

Risk Factors
Relatively new domain (163 days) may be less established
Safety Factors
No malicious Indicators of Compromise matches
No credential or payment collection fields
No brand impersonation or trademark misuse
No hidden or deceptive elements detected
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.unsubgetlost.site' uses the .site top-level domain and includes subdomain 'www'. The second-level label 'unsubgetlost' is 12 characters long holding four vowels versus 8 consonants. Tokenizing the label suggests four words: un, sub, get, lost. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.unsubgetlost.site/

Page Load Overview

27.65s
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
4151.101.193.229UnknownUnknown
099.83.185.157UnknownUnknown
052.223.53.203UnknownUnknown
0151.101.1.229UnknownUnknown
0151.101.65.229UnknownUnknown
03.33.249.164UnknownUnknown
015.197.253.240UnknownUnknown
0151.101.129.229UnknownUnknown
02606:4700::6810:aee2UnknownUnknown
02606:4700::6810:afe2UnknownUnknown
410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE31331090F32A5F205398A479E966006DD4C083C71A4D1436EC2BFA4FD6D4F8EE33D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:dXBuNYfeZD3B5C5jq0pdRCJfoifpd0kSqM0TsxJAYOTi/ZdPL6RW94mQH/yA:lBu6e3e5GJwif6/2T4l6BNfx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1874:AADAAAgBAAAAICAAEAAAQAIBAEAIAGAGAEAAAMAESAAAIAMAAEAAIIBAEABoAgBAAACAAAAREAAAgAEAAAAAAAhAASAAAIAA

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:#53aca8

Other Hashes

Crop Resistant:f0f0f8f8d8f8f8fc,f0f0f8f8ecfcf8fc

Scan History

Scan history not available

Unable to load historical scan data