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Security Scan Report: chain-alysis.top

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Submitted: May 22, 2026, 2:43:28 AMCompleted: May 22, 2026, 2:45:50 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 61 HTTP transactions. The main domain is chain-alysis.top and was registered NaN years ago.

Submitted URL: http://chain-alysis.top/moshennichestvo-v-trejdinge/index.html

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

The site is a high‑risk advance‑fee fraud page: new unranked domain, collects personal data, and shows strong phishing indicators.

Risk Factors
New, unranked domain
Presence of a personal‑data collection form
High‑severity IDS alerts
Cross‑origin POST to Telegram API
ML classifier strong phishing indication
Safety Factors
No credential or payment fields in the form
No JavaScript malware YARA matches detected
Page marked as an article (og:type=article) rather than a login page
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 8 to 3
Domain age information unavailable

Details

Page Title

Мошенничество в трейдинге – Получите помощь юриста по возврату средств

Scan Type

public

Language

🇷🇺

Russian

(80% confidence)

Category

phishing scam

(91%)

Domain Information

Domain 'chain-alysis.top' uses the .top top-level domain. The second-level label 'chain-alysis' is 12 characters long with four vowels and seven consonants; it also includes one hyphen. It segments into 3 words: chain, a, lysis. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://chain-alysis.top/moshennichestvo-v-trejdinge/index.html

Page Load Overview

36.83s
Total Load Time
71
HTTP Requests
7
Domains
1004 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

Language Code:ru
Detection Confidence:80%
Script Type:Cyrillic
HTML Lang Attribute:ru-RU
Text Length:20,315 chars
Detector Agreement:80%

Website Classification

Primary Category

phishing scam91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

phishing scam
91%
gambling betting
61%
cryptocurrency blockchain
53%
corporate
35%
news/blog
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15151.101.65.229United States
AS54113Fastly, Inc.
14104.17.25.14United States
AS13335Cloudflare, Inc.
14188.114.96.3United States
AS13335Cloudflare, Inc.
14185.174.173.22Amsterdam, North Holland, Netherlands
AS21100Green Floid LLC
14142.250.154.97United States
AS15169Google LLC
715--

Detected Technologies9

Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
WordPress
75%
PHP
50%
MySQL
50%
Google Tag Manager
50%
Google Analytics
35%
jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F945C12325D242A103B92CB90263B2DB0DADDFFFEA246907AFD5772B7F5C90715A118

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:FPzQsG7AauL0r04Gy12WaSNNC1pHgGRiJ9/IXXCWCiq9YCb5b5P+QsyhlDZjSv8p:7EEDIkvCb5PwyHZVPgoPsqKo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:427840:JAGYFMMphA0R6gJrCkAqCkCEkDkUqQEkLNCgYBQgrkAiB3iQEUoCwCDZBiATRsxCX6cJAIhEO0kC8EmGEkgbIHWFV1eCFh6A

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:ffd3d1d1f3ffffff
Perceptual Hash:ec6c9393926c6693
Difference Hash:0327272727273b37
Wavelet Hash:f18181d1c383cfcf
Color Hash:#8bd22d

Other Hashes

Crop Resistant:0327272727273b37,6d6d5055254d0d6d

Scan History

Scan history not available

Unable to load historical scan data