Security Scan Report: www.btcsolgreen.net

Redirected to:
https://btcsolgreen.net/
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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 2 domains to perform 9 HTTP transactions. The main domain is btcsolgreen.net and was registered 2 months ago.

Submitted URL: https://www.btcsolgreen.net/

Effective URL:
https://btcsolgreen.net/
Redirected

AI Security Verdict

High Risk

Confidence: 72%

8
Risk Score

68-day-old unranked crypto/AI-finance site whose own domain is a single-source phishing report; it loads scripts from odd .cfd/.pro hosts and promises maximized investment returns. No forms or malware found, but risk is high — avoid.

Risk Factors (5)
Primary domain flagged as phishing in threat intelligence (single-source, unverified)
IDS ET DROP Spamhaus alert (HIGH) on the hosting network
Resources loaded from suspicious/unrelated .cfd and .pro domains
Investment-return marketing ('maximice su capital', 'maximizar su rentabilidad') with no regulatory, licensing or company disclosures — only a generic Buenos Aires address and boilerplate privacy/terms links
Very new (68 days) and unranked domain behind a cryptocurrency/financial-advice brand
Domain age information unavailable

Details

Page Title

BTC Solgreen — Plataforma de IA para decisiones financieras

Scan Type

public

Domain Name Analysis

The domain name 'www.btcsolgreen.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'www'. The core label 'btcsolgreen' covers 11 characters with three vowels and eight consonants. Breaking it apart gives three words: btc, sol, green. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.btcsolgreen.net/

Page Load Overview

1.88s
Total Load Time
36 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:3,747 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
58%
government public service
58%
technology software
48%
corporate business
41%
corporate
35%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3158.94.210.119Amsterdam, North Holland, Netherlands
AS202412Omegatech LTD
1188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1104.21.95.214Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
97--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160633C6139D6001562B3E896A3DB771EAA2DE1038849C495F6FD8661DFC7FE2B12370C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:xNWEOOwxrDQbwV92j1agoQxFLR5p792wkSgpVYa23p7rI+iT3uQ/KUrFq9LhN3RJ:xNWEOOwxiNoc5R5p7ZkSIed0/K8y7r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72937:EAIBSgjDAwACMSqoqQ04unCBIVEGAYSUQQ4RRgAsEHCDBMQIWH4ECAVpImQ0QRwExAJEgZCRjCQhAtwQxA0ABCoVQBMbYfLl

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:ff01012303030707
Perceptual Hash:a3c9fcdcc9c1c1c8
Difference Hash:abffdfdfefdfffff
Wavelet Hash:ff03272707070f0f
Color Hash:#34862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data