Security Scan Report: start.aftersell.app

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Submitted: Nov 27, 2025, 7:57:04 PMCompleted: Nov 27, 2025, 8:02:17 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 3 domains to perform 8 HTTP transactions. The main domain is start.aftersell.app.

Submitted URL: https://start.aftersell.app/

The Cisco Umbrella rank of the primary domain is #37,956 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'start.aftersell.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'start'. Count 9 characters in 'aftersell' with 3 vowels and 6 consonants. Word splitting yields two words: after, sell. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://start.aftersell.app/

Page Load Overview

0.51s
Total Load Time
8
HTTP Requests
3
Domains
308 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
0
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
634.96.122.8Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
134.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
123.227.39.200Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
12600:1901:0:5e8a::Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
12620:127:f00e:ff01::Canada
AS13335CLOUDFLARENET
85--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FC183293ED6C6324C5249293E76F498E709113FD619E766B4DE82788F43BEA4803DD4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Ap9eXzkABFACXAk+B2AzIda5GFM9WKHWUsZz4vnx0qXcGJi:y9kznlTerz+aWM4KHkMnxBXxJi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5659:AgIASCEwYh0BxkCRAQwArBOiYQJaAgQISDAgBIAcBURQIhgAIAACoVQ6GMkIAwDGlIAYQAipABQEAJQCIMYYAAyAAgGSAEAg

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#79aad2

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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