Security Scan Report: ekoatlantic.net

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is ekoatlantic.net and was registered 3 months ago.

Submitted URL: https://ekoatlantic.net/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Roster-anchored fake AI trading platform: YARA-detected lead-token capture plus SMS verification overlay for call-centre fraud, on a 119-day-old unranked domain. Avoid.

Risk Factors (5)
Known malicious lead-funnel kit identified by the analyst-vetted roster (fake AI trading platform / SMS-verified sign-up fraud)
Critical high-precision YARA detection of lead-token capture and SMS one-time-code verification overlay
Investment-service claims with no company identity, licence, or regulatory disclosure
Young, unranked domain presenting itself as a global trading platform
High-severity IDS alert (Spamhaus DROP listed traffic)
Domain age information unavailable

Details

Page Title

Next-Gen Algorithmic Trading Platform — Eko Atlantic

Scan Type

public

Domain Name Analysis

The domain name 'ekoatlantic.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. Its registrable label 'ekoatlantic' stretches across 11 characters split between five vowels and 6 consonants. Breaking it apart gives three words: e, ko, atlantic. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ekoatlantic.net/

Page Load Overview

2.96s
Total Load Time
39 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,523 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6158.94.210.119Amsterdam, North Holland, Netherlands
AS202412Omegatech LTD
61--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE933A5231A300365563A1EA77EB6B1DBB29C203C809C8287FFD56059FC6FE9A46374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:aN5mfMa+8/OF4X0sSjzYMFAbVQxFXOO3BcsMESw2SgpVYa23p7rI+iT3uQ/KUrFM:m78/OSXgzYM2bVcBOO5r2SIed0/K8y7r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93852:CiDaBEED6SkQBFFCGaIFmIoBJAAEJvwUQt6AUwQEgQSfnAByoBIKFMCCSuDAjEAwC5EHwIQEFz1AZAiCpJJBIAAillJECzE1

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data