Security Scan Report: siberians.forum24.ru

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Submitted: Sep 23, 2026, 1:21:46 AMCompleted: Sep 23, 2026, 1:24:08 AMpubliccompleted

This website contacted 228 IPs in 10 countries across 131 domains to perform 601 HTTP transactions. The main domain is siberians.forum24.ru and was registered 28 years ago.

Submitted URL: https://siberians.forum24.ru

The Cisco Umbrella rank of the primary domain is #105,908 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

A 3-year-old self-branded Russian cat-breed forum with its own member login; no Impersonation, Indicators of Compromise, malware or credential exfiltration. Only concern is an ad-heavy redirect chain and spammy user posts.

Risk Factors
196 redirects including 163 cross-domain hops through advertising/tracking networks (excessive redirect behaviour, minor privacy concern)
Safety Factors
Well-established domain (over 3 years old)
Self-branding detected — the site presents its own forum identity, not an impersonated brand
Login form is the forum's own same-origin member authentication, with no exfiltration or cross-origin submission
No Indicators of Compromise, no YARA matches, no IDS alerts, no Safe Browsing or kit-roster hits
Categorised as a community discussion forum by content analysis
Domain age information unavailable

Details

Page Title

Сибириада - форум о сибирских кошках

Scan Type

public

Domain Name Analysis

The domain name 'siberians.forum24.ru' uses the Russian country-code top-level domain (.ru) and includes subdomain 'siberians'. Count 7 characters in 'forum24' holding 2 vowels versus 3 consonants, along with two digits. Segmentation suggests 2 words: forum, 24. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://siberians.forum24.ru

Page Load Overview

85.11s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:60%
Script:Cyrillic
Direction:ltr

Detection Details

Text Length:4,214 chars
Detector Agreement:67%

Website Classification

Primary Category

forum community discussion32% confidence
Type: spa
Method: ml+structural

All Detected Categories

forum community discussion
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14791.194.2.65Russia
AS51520Datalogika Ltd.
2142.251.157.119Google · CDNUnited States
AS15169Google LLC
295.181.182.182Perm, Perm Krai, Russia
AS210756EdgeCenter LLC
292.53.96.242St Petersburg, St.-Petersburg, Russia
AS9123Jsc timeweb
2142.251.150.119Google · CDNUnited States
AS15169Google LLC
2142.251.20.94Google · CDNUnited States
AS15169Google LLC
2213.180.193.90Yandex · CLOUDRussia
AS13238YANDEX LLC
287.250.250.90Yandex · CLOUDRussia
AS13238YANDEX LLC
277.88.21.119Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
277.88.55.88Yandex · CLOUDRussia
AS13238YANDEX LLC
601228--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129710563C391A01A711B945FA895FE9E1189816FEF518B2CDDB93AF8D3904E2B123734

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:d4z+lPyif3HY91kC1i1H51Y1/13181B131ZWNTMnZMQLs7:d0y1raGY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3503:QAAhqlEAAF5RACUAQgUQAAIgAjAABgAAQABAAAQIIABCAAKAgAkCAGEAGAAIABCEAAgAASKAAIAgRhSiAAA0ohBCCIQCIKIA

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:3c3c3c0000000000
Perceptual Hash:c6c69399393966c6
Difference Hash:6868680200000000
Wavelet Hash:ffffffff00000000
Color Hash:#533a78

Other Hashes

Crop Resistant:6868680200000000

Scan History

Scan history not available

Unable to load historical scan data