Security Scan Report: inauka.ru

Submitted: Jan 24, 2026, 5:48:44 PMCompleted: Jan 24, 2026, 5:50:13 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is inauka.ru.

Submitted URL: https://inauka.ru/finansy/2024/06/27/kak-prinimat-oplatu-iz-za-rubezha-sovremennye-resheniya/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk phishing site; do not submit any credentials.

Risk Factors
Credential harvesting form (password field without username)
Unknown domain age increases suspicion
Unranked/low‑reputation domain
Domain age information unavailable

Details

Page Title

Как принимать оплату из-за рубежа: современные решения

Scan Type

public

Language

🇷🇺

Russian

(80% confidence)

Category

finance banking

(77%)

Domain Information

Within the Russian country-code top-level domain (.ru), 'inauka.ru' is registered without a subdomain. The core label 'inauka' covers 6 characters with four vowels and two consonants. Splitting it apart reveals 3 words: in, auk, a. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://inauka.ru/finansy/2024/06/27/kak-prinimat-oplatu-iz-za-rubezha-sovremennye-resheniya/

Page Load Overview

1.60s
Total Load Time
71
HTTP Requests
10
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:ru
Detection Confidence:80%
Script Type:Cyrillic
HTML Lang Attribute:ru-RU
Text Length:9,512 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking77% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
77%
news/blog
50%
corporate
35%
forum
20%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1557.144.110.192Warsaw, Mazovia, Poland
AS32934FACEBOOK
14138.201.36.34Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
14192.178.170.95United States
AS15169GOOGLE
14142.250.185.72United States
AS15169GOOGLE
14172.217.18.2United States
AS15169GOOGLE
715--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195F3F8726650143B220BA2CBD1203F1EF0939B7AFE9747E2E7F432AD96F8CD19555209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qHzYpYWPtUhuGRAk/OsIq5r+E+8WHHqY6jQe2SSO/A2bxTMZI3VS4:qHzYxChuGRH/Ofq5WHH4QD4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162469:gKI6QwCIimhYASLCwgjDUnBv+0UGZqAAgPZARQrsEIghARkAkIMITDGgiI4IMGgCIQY5MHMhEgEAJQRQEBXRsALExucRhAXo

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:0000f9fffbfffbff
Perceptual Hash:ec123245b9edcb49
Difference Hash:c4d4b3361606262e
Wavelet Hash:000000fbfbfbfbc3
Color Hash:#5365ac

Scan History

Scan history not available

Unable to load historical scan data