Security Scan Report: ipmnet.ru

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Submitted: May 6, 2026, 2:50:18 AMCompleted: May 6, 2026, 2:51:33 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 54 HTTP transactions. The main domain is ipmnet.ru and was registered NaN years ago.

Submitted URL: https://ipmnet.ru

The Cisco Umbrella rank of the primary domain is #869,623 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Critical malware C2 alert on an old, form‑free site makes it high‑risk; avoid and report.

Risk Factors
Critical IDS alert indicating possible command‑and‑control traffic
Low domain reputation ranking despite long domain age
Domain age information unavailable

Details

Page Title

Институт проблем механики им. А.Ю. Ишлинского РАН (ИПМех РАН)

Scan Type

public

Language

🇷🇺

Russian

(70% confidence)

Category

documentation technical

(39%)

Domain Information

The domain 'ipmnet.ru' uses the Russian country-code top-level domain (.ru) without a subdomain. Its registrable label 'ipmnet' stretches across 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests two words: ip, mnet. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipmnet.ru

Page Load Overview

3.40s
Total Load Time
53
HTTP Requests
1
Domains
624 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:70%
Script:Cyrillic
Direction:ltr

Detection Details

Language Code:ru
Detection Confidence:70%
Script Type:Cyrillic
Text Length:7,780 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical39% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
39%
education learning
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
53188.44.34.79Russia
AS2848Federal State Budgetary Educational Institution of Higher Education Lomonosov Moscow State Un
531--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB13566191DB98DF2214F11AED207F097C9300FFBB9A6B2122741DBE75E2564CA24B4F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:c6a1yudePxURXUF+zx2IXlu2mxEe63y3EHEnz:cnyudePxURXbHXlrmxEe63y3Eknz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43063:zBCihhpGAyMkEqCkaFSIwSAdiEaB5oiFkNEmAJDCSVcHBCHVGgiJLIDygYJACRREAGIj4WkJRLAnVI0xgE5EACYCSdILUAFD

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:8300ff989affffbf
Perceptual Hash:bd6826256de586b8
Difference Hash:26272d3232683e76
Wavelet Hash:83008d888aff9fbe
Color Hash:#2d8386

Scan History

Scan history not available

Unable to load historical scan data