Security Scan Report: pnevmoteh.ru

Redirected to:
https://www.pnevmoteh.ru/
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Submitted: Oct 1, 2026, 7:44:06 AMCompleted: Oct 1, 2026, 7:45:02 AMpubliccompleted

This website contacted 17 IPs in 4 countries across 13 domains to perform 208 HTTP transactions. The main domain is pnevmoteh.ru and was registered 18 years ago.

Submitted URL: https://pnevmoteh.ru

Effective URL:

https://www.pnevmoteh.ru/
Redirected

The Cisco Umbrella rank of the primary domain is #419,361 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Long-established (10+ years) Russian compressor/construction-equipment shop on its own matching domain. No credential/payment forms, no Indicators of Compromise, no malware or phishing signals — legitimate online store.

Safety Factors (5)
Domain age ~10.9 years (registered 2015)
Site displays its own brand matching the domain (self-branding, no impersonation)
No credential, login or payment forms — only search and location-selector forms
No Indicators of Compromise, YARA, IDS or Safe Browsing detections
Legitimate third-party integrations (Yandex Metrica, amoCRM, SendPulse, GetSiteControl) consistent with a real e-commerce site
Domain age information unavailable

Details

Page Title

Пневмотех.ру - интернет магазин инструментов и строительного оборудования в Москве - официальный сайт

Scan Type

public

Domain Name Analysis

Domain 'pnevmoteh.ru' uses the Russian country-code top-level domain (.ru). The core label 'pnevmoteh' covers 9 characters with three vowels and six consonants. It segments into 4 words: p, nev, mote, h. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pnevmoteh.ru

Page Load Overview

6.73s
Total Load Time
7.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ru
Text Length:58,919 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical85% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
85%
cryptocurrency blockchain
77%
healthcare medical
75%
corporate business
74%
technology software
68%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1693.125.48.29Belarus
AS6697Republican Unitary Telecommunication Enterprise Beltelecom
12185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1287.250.250.119Yandex · CLOUDRussia
AS13238YANDEX LLC
12108.138.26.9Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1290.156.233.120Russia
AS47764LLC VK
12136.110.228.234Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1223.111.41.206Moscow, Moscow, Russia
AS50340JSC Selectel
12103.228.171.58Frankfurt am Main, Hesse, Germany
AS44051Fornex Hosting S.L.
1290.156.232.15Russia
AS47764LLC VK
1287.250.251.119Yandex · CLOUDRussia
AS13238YANDEX LLC
20817--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15505879191F6046602E5E6B09D202E0DB90640BFE6A79E117B7C5F6ABFC3C50DD2B34B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:lZZ3gMg4gsgFgbgLgugSgxg6gYgWAgdgqg6gVgtgTgFgZgygHIXvMF:HZ3P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:856805:EGpIGCIJWMaRMEQAdgJxEOBgArw1CBEALCmJBRELsAASHBAUjIAgYQAAVQJAqGIXAMDRRqniQiCUkDVAGwCkY0EAgG4P4AHC

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:ffcf8181c3ffcbff
Perceptual Hash:b97986d34639434e
Difference Hash:181f2b3b2f1abae6
Wavelet Hash:00c78181c3efcb7f
Color Hash:#331f93

Scan History

Scan history not available

Unable to load historical scan data