Security Scan Report: www.unsubnotime.site

Submitted: Oct 10, 2025, 1:09:30 PMCompleted: Oct 10, 2025, 1:10:18 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is unsubnotime.site and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Site appears legitimate with minimal risk; primarily a simple unsubscribe form.

Safety Factors
Collects only non‑sensitive email address
No external links or redirects
No brand impersonation or trademark misuse
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.unsubnotime.site' uses the .site top-level domain and includes subdomain 'www'. Count 11 characters in 'unsubnotime' split between 5 vowels and 6 consonants. Word splitting yields 4 words: un, sub, no, time. Expect 2.5 characters per word on average. The linguistic tilt is Catalan for 'un'. You will also see it in Spanish and Latvian contexts.

Screenshot

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

Page Load Overview

12.54s
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
415.197.253.240United States
AS16509AMAZON-02
099.83.185.157United States
AS16509AMAZON-02
03.33.249.164United States
AS16509AMAZON-02
0151.101.193.229San Francisco, California, United States
AS54113FASTLY
0104.16.174.226United States
AS13335CLOUDFLARENET
02606:4700::6810:aee2United States
AS13335CLOUDFLARENET
0104.16.175.226United States
AS13335CLOUDFLARENET
052.223.53.203United States
AS16509AMAZON-02
02606:4700::6810:afe2United States
AS13335CLOUDFLARENET
49--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15031532090F32E9F208394A439EA62009DD4C083C74A491436EC2BFA8FD6D4E8EE73D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:dXBuNYfeZD3B5C5jq0pdRCJfoifpd0kSqM0TsSLfuoTi/ZdPL6RW94mQH/yA:lBu6e3e5GJwif6AmoT4l6BNfx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1874:AADAAAgBAAAAACAAEAAAQAIBAECIAGAGAECAAMAESAAAAAMAAEAAIIBCEABoAgBAAACAAAABEAAAgAEAAAAAAAhAASAAAIAA

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:#40bdbf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data