Summary
API
Submitted URL: https://irktorgnewss.ru
The Cisco Umbrella rank of the primary domain is #825,525 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 55%
Ad-heavy Russian regional business-news site with an abnormal 258-hop cross-domain redirect chain and many ad-tech domains. No credential/payment form, no impersonation, no malware, YARA or IDS hit on the page itself.
Risk Factors (1)
Safety Factors (5)
Details
Page Title
Бизнес в Иркутске сегодня - Иркутская Торговая газета
Scan Type
public
Domain Name Analysis
The domain 'irktorgnewss.ru' uses the Russian country-code top-level domain (.ru). Count 12 characters in 'irktorgnewss' split between three vowels and nine consonants. Breaking it apart gives five words: irk, to, rg, news, s. Average segment length settles at 2 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 |
|---|---|---|---|
| 192 | 85.198.119.106 | Russia | AS29182JSC IOT |
| 5 | 92.53.64.248 | Moscow, Moscow, Russia | AS49505JSC Selectel |
| 5 | 172.67.168.217Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 193.3.184.135 | Russia | AS50214QWARTA LLC |
| 5 | 87.250.251.119Yandex · CLOUD | Russia | AS13238YANDEX LLC |
| 5 | 88.212.201.198 | Moscow, Moscow, Russia | AS39134Edinaya Set Limited Liability Company |
| 5 | 5.101.71.73 | Yerevan, Yerevan, Armenia | AS201589edgeam LLC |
| 5 | 178.176.128.203 | Naberezhnyye Chelny, Tatarstan Republic, Russia | AS31133PJSC MegaFon |
| 5 | 23.111.203.116 | Moscow, Moscow, Russia | AS50340JSC Selectel |
| 5 | 155.212.203.195 | Moscow, Moscow, Russia | AS47764LLC VK |
| 1362 | 235 | - | - |
Detected Technologies11
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
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