Security Scan Report: euroali.ru

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Submitted: Sep 19, 2026, 8:01:21 AMCompleted: Sep 19, 2026, 8:01:41 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Scan only captured an Antibot Cloud IP-block/robot-check page. No forms, no Indicators of Compromise, no malware or impersonation. Unranked+unknown age are neutral priors; nothing malicious found.

Safety Factors
Anti-bot / IP-block challenge page rather than harvestable content
Zero forms, zero credential or payment fields
No Indicators of Compromise or threat-intel matches
No JavaScript malware or obfuscated network sinks
No cross-origin credential exfiltration
Content classifier flagged no malicious category (weak 'adult content' 55% label only, low-signal)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain name 'euroali.ru' uses the Russian country-code top-level domain (.ru) with no subdomain. The core label 'euroali' covers 7 characters with 5 vowels and 2 consonants. Word splitting yields two words: euro, ali. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://euroali.ru

Page Load Overview

0.49s
Total Load Time
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Text Length:130 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content55% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
55%
news media journalism
39%
documentation technical
32%
phishing scam
32%
healthcare medical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
282.202.162.115Russia
AS29182JSC IOT
182.202.162.120Russia
AS29182JSC IOT
182.202.162.111Russia
AS29182JSC IOT
182.202.162.107Russia
AS29182JSC IOT
179.174.14.123Russia
AS29182JSC IOT
182.202.162.113Russia
AS29182JSC IOT
76--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B51209BAAA3105BAC93D5782FF663066161D113D50BDC64BECCA298CFC63D944E3788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:cLH5q+PM3tsNAo1jdQ9sFjAdviAaRo70bSXnoA/tm:cLU+PMmuoZdQ9sFjOqAaRo7WSvI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2534:BBAAAAEAAAwAAQUCgAAECAAgASAgAgAEBggQAgAAAACICDAkggNQAoFAAACCAAAQABIACAAAAABiIgAAAAA4AAICUAgBCBAB

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:ffffffc3c3ffffff
Perceptual Hash:a399ce316699ce31
Difference Hash:0000000e0e000408
Wavelet Hash:3c3c3c2403373f27
Color Hash:#d2797e

Other Hashes

Crop Resistant:0000000e0e000408

Scan History

Scan history not available

Unable to load historical scan data