Security Scan Report: www.unsubbeoff.site

Submitted: Jan 10, 2026, 4:53:36 PMCompleted: Jan 10, 2026, 4:55:36 PMpubliccompleted
Loading additional data...

Summary

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

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

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Unsubscribe page with only an email field; no malicious indicators detected.

Safety Factors
Simple email collection for unsubscribe
No credential or payment collection
Domain age beyond critical new‑domain window
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.unsubbeoff.site' uses the .site top-level domain; it also runs on subdomain 'www'. The core label 'unsubbeoff' covers 10 characters with four vowels and 6 consonants. Breaking it apart gives four words: un, sub, be, off. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

24.63s
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
2151.101.129.229United States
252.223.53.203United States
AS16509AMAZON-02
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E41512190F3299F208394A439E96204ADC4C493CB5A491436EC3BFA8FD2D0E8EE33D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hrXBuNYfeZD3B5C5jq0pdRCJfoifpd0kSqM0TsbDMTi/ZdPL6RW94mQH/yA:pBu6e3e5GJwif6hwT4l6BNfx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1889:ACAEEFAAAAQACAIACABAABAIAEAQBAAgICAAAAAAAAAIggAAAlAAAiABIgABAAACIAAAQAACAwBACACgAAAAAAAgEBAAkAAg

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:#2d867d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data