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Security Scan Report: magnit.ru

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Submitted: Sep 19, 2026, 1:28:10 AMCompleted: Sep 19, 2026, 1:28:53 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/63865ca4-41cf-4c4d-a4e8-2026ef9673baDomain and IP registration (RDAP)/api/v1/rdap/63865ca4-41cf-4c4d-a4e8-2026ef9673baCertificate Transparency/api/v1/ct/magnit.ruHow often this domain was scanned/api/v1/domain/stats/magnit.ruScan history for this domain/api/v1/domain/history/magnit.ru?limit=15

This website contacted 40 IPs in 6 countries across 31 domains to perform 577 HTTP transactions. The main domain is magnit.ru and was registered 29 years ago.

Submitted URL: https://magnit.ru

The Cisco Umbrella rank of the primary domain is #77,857 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=26) on well-ranked domain #77,857.

Safety Factors
Well-established domain (ranked #77,857)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Доставка продуктов на дом – купить готовую еду и продукты в Магнит

Scan Type

public

Domain Name Analysis

The domain 'magnit.ru' uses the Russian country-code top-level domain (.ru) while skipping any subdomain. The second-level label 'magnit' is 6 characters long split between 2 vowels and 4 consonants. Tokenizing the label suggests two words: magn, it. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://magnit.ru

Page Load Overview

19.26s
Total Load Time
6.6 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru
Text Length:143 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping80% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
80%
government public service
46%
documentation technical
40%
healthcare medical
37%
social media network
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31178.248.238.72Russia
AS51115HLL LLC
1477.88.44.55Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
14195.209.90.6Russia
AS34879OOO Sovremennye setevye tekhnologii
1477.88.21.119Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
1490.156.233.120Russia
AS47764LLC VK
14195.209.109.115Russia
AS52007LLC AdRiver
14188.72.103.125Dubai, Dubai, United Arab Emirates
AS215013Yandex.Cloud LLC
145.255.255.77Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
14195.209.87.173Russia
AS34879OOO Sovremennye setevye tekhnologii
1477.88.55.88Yandex · CLOUDRussia
AS13238YANDEX LLC
57740--

Detected Technologies6

Nuxt.js
50%
Node.js
50%
HSTS
40%
Vue.js
30%
Yandex.Metrika
20%
Prebid
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17AB40995FB5483676217CBF08431291630B7BFBBDF4B908089DB07682EE69B8354DD89

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:H31KWIO2ks1x4c3jWyDBPFuAaqbydXINw6w5sTSQHHxqtZfrqiWQJkN:H31KWIO2ksyoNFaipKCr0GnQJW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:513121:QdEQIChxrAmFIcOqAjgVMiEAGzYBKsZYIFoBgiBCeCCgEaQCDEglMyPSAIKAPAa7VAUawUjJQoogIUJUoNATLheWRgHhqGZA

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:fbc3c3c3ff818383
Perceptual Hash:bdc18f3dc1893cc2
Difference Hash:323333332b2f2323
Wavelet Hash:bbc38383ff818383
Color Hash:#ac6553

Other Hashes

Crop Resistant:323333332b2f2323

Scan History

Scan history not available

Unable to load historical scan data