Security Scan Report: moyaikona.ru

Submitted: Oct 2, 2025, 10:36:47 AMCompleted: Oct 2, 2025, 10:37:21 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 22 HTTP transactions. The main domain is moyaikona.ru.

Submitted URL: https://moyaikona.ru/wp-content/app/sf_marley/sf_marley/[email protected]

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Phishing site impersonating SF Express to harvest credentials; treat as high‑risk and do not trust.

Risk Factors
Brand impersonation on low‑reputation domain
Credential‑stealing login form
Unranked domain with unknown age (likely new)
Email address in URL query string
Chinese language targeting SF Express customers
Domain age information unavailable

Details

Page Title

Track & Trace | Service&Support | SF

Scan Type

public

Language

🇨🇳

Chinese

(80% confidence)

Category

technology software

(97%)

Screenshot

Security scan screenshot of https://moyaikona.ru/wp-content/app/sf_marley/sf_marley/?email=hej@bloggz.se

Page Load Overview

2.38s
Total Load Time
22
HTTP Requests
2
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:80%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:80%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:7,796 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software97% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
97%
documentation technical
26%
social_media
25%
corporate
25%
forum
20%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
887.236.16.19St Petersburg, St.-Petersburg, Russia
AS198610Beget LLC
7148.153.240.77United States
AS63199CDSC-AS1
790.84.161.28UnknownUnknown
223--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A634E7B1B5A1117D0423D3D871A4AF152E63B39BDA8144D6B7FC93B86FB3CF26A06484

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LyoSaUCttw0b7PdPWx7QTgLgtx44W06VbewmP:yW3bMx7QA4Ky

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:246678:pAJFhboCADchHzCIUEgACAJACmITQATQiHyJgFBIUwNDMAwCqwYiuZLwhAcAcTMRYjOAHC2gC0iHCjpQBQBkGA5gEaWQRBAG

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:ffffffffff000000
Perceptual Hash:88d522aad5289df7
Difference Hash:58d9f0b0e8b181a8
Wavelet Hash:ff7c7e7e7e000000
Color Hash:#783a4b

Scan History

Scan history not available

Unable to load historical scan data