Summary
This website contacted 5 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is mir-olymp.ru.
Submitted URL: https://mir-olymp.ru
AI Security Verdict
Confirmed Scam
Confidence: 80%
Login form on unknown‑age, unranked domain with heavily obfuscated scripts – treat as high‑risk credential phishing.
Risk Factors
Details
Page Title
Международные олимпиады
Scan Type
public
Language
Russian
Category
education learning
(82%)Domain Information
Domain 'mir-olymp.ru' uses the Russian country-code top-level domain (.ru) without a subdomain. The core label 'mir-olymp' covers 9 characters with 2 vowels and six consonants, along with one hyphen. Splitting it apart reveals 2 words: mir, olymp. The median word length lands at four characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 87.250.250.119 | Russia | AS13238YANDEX LLC |
| 10 | 142.251.141.99 | United States | AS15169Google LLC |
| 10 | 188.114.97.3 | United States | AS13335Cloudflare, Inc. |
| 10 | 142.250.201.170 | United States | AS15169Google LLC |
| 10 | 195.181.170.18 | Unknown | Unknown |
| 50 | 5 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
Unable to load historical scan data