ScanMalware.com

Security Scan Report: appstorrent.ru

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/caef568a-06a7-4cec-90a5-4c75cd53a613Domain and IP registration (RDAP)/api/v1/rdap/caef568a-06a7-4cec-90a5-4c75cd53a613How often this domain was scanned/api/v1/domain/stats/appstorrent.ruScan history for this domain/api/v1/domain/history/appstorrent.ru?limit=15
This website contacted 3 IPs in 1 country across 3 domains to perform 14 HTTP transactions. The main domain is appstorrent.ru.

Submitted URL: https://appstorrent.ru

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Just a moment...other network

Scan Type

public

Domain Name Analysis

The domain 'appstorrent.ru' uses the Russian country-code top-level domain (.ru) without a subdomain. Its registrable label 'appstorrent' stretches across 11 characters with 3 vowels and eight consonants. It segments into 2 words: apps, torrent. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appstorrent.ru

Page Load Overview

1.92s
Total Load Time
366 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:335 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
62%
documentation technical
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.21.39.78United States
AS13335CLOUDFLARENET
4104.18.95.41United States
AS13335CLOUDFLARENET
4104.16.79.73United States
AS13335CLOUDFLARENET
143--

Detected Technologies1

X-UA-Compatible
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F3824B338556101F723B0FE760A9BB145025F345A702A3FFF5A3AE5887C991B26633AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ha+Z9yIPl2boVmJkEqnoMBHnTa/iNrzhPsP7xdFGFOayKG0HsqA:4+Zcq4brJkxnoupPkbG80GYs1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18386:RkhggMhBUcJkQXCKFVCUWcZJaeLjYQcQyDUgwZJC3gAIxBICADIEToxq4Ek1QAqXJk5CBhoHBA2QwBiBg6KE2QLoFCEBILeM

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:dfc3c3ffffffffe7
Perceptual Hash:b0383089c7cfc7c7
Difference Hash:301c0c000000000c
Wavelet Hash:3c00003cfcfcfcc0
Color Hash:#9687c5

Other Hashes

Crop Resistant:301c0c000000000c

Scan History

Scan history not available

Unable to load historical scan data