Security Scan Report: binomen.ru

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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 5 domains to perform 75 HTTP transactions. The main domain is binomen.ru and was registered 1 year 10 months ago.

Submitted URL: https://binomen.ru

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Established, self-branded Russian space-news portal with no forms, no impersonation and no threat-intel, hunting rule or IDS hits; only minor concerns are right-click blocking and low reputation.

Risk Factors (2)
JavaScript disables the browser context menu (weak anti-analysis signal)
Domain is unranked in Cisco Umbrella and shows minimal business-legitimacy signals (no legal/contact/ownership pages detected)
Safety Factors (5)
Domain registered over 1 year ago (established, low age risk)
No credential-harvesting or payment forms present in the captured DOM
No Indicators of Compromise, hunting-rule matches, network IDS alerts, or phishing-kit roster hits
Content is coherent space/astronomy news matching the site's own branding — no impersonation of another entity
No cross-origin credential exfiltration; external scripts limited to fonts and a counter service
Domain age information unavailable

Details

Page Title

Space Binome. — Астро-космический информационный портал.

Scan Type

public

Domain Name Analysis

Domain 'binomen.ru' uses the Russian country-code top-level domain (.ru) and has no subdomain. The core label 'binomen' covers 7 characters split between 3 vowels and four consonants. Segmentation suggests 2 words: bin, omen. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Исследования ДНКв Иваново. Заказать вывоз мебели срочно Space Втоте. АСТРО-КОСМИЧЕСКИЙ ИНФОРМАЦИОННЫЙ ПОРТАЛ. Новос Астрономия Космос Разработки NASA Роскосмос НЛО Картас Я н день tl B 2008 году во...

Page Load Overview

1.62s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ru-RU
Text Length:11,860 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
79%
blog personal website
78%
government public service
77%
documentation technical
72%
adult content
68%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1181.90.180.86Russia
AS50340JSC Selectel
8142.251.127.95Google · CDNUnited States
AS15169Google LLC
888.212.202.52Moscow, Moscow, Russia
AS39134Edinaya Set Limited Liability Company
8193.3.184.137Russia
AS50214QWARTA LLC
8142.251.14.94Google · CDNUnited States
AS15169Google LLC
888.212.201.204Moscow, Moscow, Russia
AS39134Edinaya Set Limited Liability Company
8193.3.184.133Russia
AS50214QWARTA LLC
8193.3.184.27Russia
AS50214QWARTA LLC
8193.3.184.76Russia
AS50214QWARTA LLC
759--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF24743144F824AB1102D0C5EAD07E4EAE92957F8E6F1A4673BC4FD87FD2DA2891721D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:IR0JStQJNp2SePDh9rGfMSlnUS1zYM6mYKqLLVUHh3ZWlyeCeFmY:HJStQJ2SePDh9rGfMSlnUS1zYM6mYKqR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:225128:GAkAgIADj+QiEAAIQIHJJZCIAuAGIwRNcgpIQAAwANn0SAIRKKxZwIFZBEkgZDS4A6qBBiZAUVACAIgBAA/BRSgIG4ACkehA

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:ff3fffc383c383c5
Perceptual Hash:a184da257aa5d29f
Difference Hash:6a61969616960619
Wavelet Hash:ff00ffc383c38381
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data