Security Scan Report: rs.storefrontapp.ru

Submitted: Dec 25, 2025, 9:32:23 AMCompleted: Dec 25, 2025, 9:42:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is rs.storefrontapp.ru and was registered NaN years ago.

Submitted URL: https://rs.storefrontapp.ru

The Cisco Umbrella rank of the primary domain is #818,136 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Established domain age (>180 days)
No forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

technology software

(45%)

Domain Information

Domain 'rs.storefrontapp.ru' uses the Russian country-code top-level domain (.ru) and includes subdomain 'rs'. Its registrable label 'storefrontapp' stretches across 13 characters holding four vowels versus nine consonants. Splitting it apart reveals two words: storefront, app. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rs.storefrontapp.ru

Page Load Overview

23.40s
Total Load Time
19
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
Text Length:195 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software45% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
45%
news media journalism
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
294.139.253.227Asbest, Sverdlovsk Oblast, Russia
AS208677Cloud.ru
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A8E0687289340F29616025EDE9C2270AEBA4A68AD1211840A6D4B790A0DFA1F4503588

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B969SoomDvZDyZD3aunPoK2/iWabkW3b2qRNdxELa:kxV7HfwLjzu/bu3b267xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:e08fa5dd9807ec853805ec53e0ee52ff

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:00ffffffffffffff
Perceptual Hash:a92d2d2d2d2d2d2d
Difference Hash:8300000000000000
Wavelet Hash:00feccccf0f0f0f0
Color Hash:#931f4c

Other Hashes

Crop Resistant:8300000000000000

Scan History

Scan history not available

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