Summary
API
Submitted URL: https://sora.net.ru/
AI Security Verdict
Moderate Risk
Confidence: 65%
Unofficial 'Sora 2' landing page on a non-OpenAI domain with hidden links to a lookalike AI-brand network and cross-domain redirects; no credential or payment forms and no malware/IoC hits, so misleading brand use rather than confirmed phishing.
Risk Factors (4)
Safety Factors (4)
Details
Page Title
Sora 2 - нейросеть для создания и редактирования видео
Scan Type
public
Domain Name Analysis
You're looking at domain 'sora.net.ru' on the Russian country-code top-level domain (.ru); it also runs on subdomain 'sora'. The second-level label 'net' is 3 characters long holding one vowel versus two consonants. Word splitting yields 1 word: net. The median word length lands at three 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 |
|---|---|---|---|
| 15 | 185.184.129.231 | Russia | AS210656Yandex.Cloud LLC |
| 12 | 87.250.250.119Yandex · CLOUD | Russia | AS13238YANDEX LLC |
| 12 | 77.88.21.119Yandex · CLOUD | Moscow, Moscow, Russia | AS13238YANDEX LLC |
| 12 | 87.250.251.119Yandex · CLOUD | Russia | AS13238YANDEX LLC |
| 51 | 4 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data