Security Scan Report: ecoin9.cc

Redirected to:
https://ecoin9.cc/Login/index
Site favicon
Submitted: Completed: publiccompleted
This website contacted 14 IPs in 2 countries across 5 domains to perform 32 HTTP transactions. The main domain is ecoin9.cc and was registered 11 months ago.

Submitted URL: https://ecoin9.cc/Index/index/Lang/en-us

Effective URL:
https://ecoin9.cc/Login/index
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

High‑confidence phishing site; confirmed scam.

Risk Factors (3)
Newly registered domain (<7 days) with login form
Hidden password field indicating attempt to harvest credentials
Absence of any legitimate brand verification
Domain age information unavailable

Details

Page Title

Ecoin Exchange App

Scan Type

public

Domain Name Analysis

Domain 'ecoin9.cc' uses the .cc country-code top-level domain without a subdomain. The registrable portion 'ecoin9' spans 6 characters split between 3 vowels and 2 consonants, along with 1 digit. Segmentation suggests three words: eco, in, 9. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

=: ECOIN Phove number Sign In | Register

Page Load Overview

2.62s
Total Load Time
720 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt
Text Length:1,281 chars
Detector Agreement:100%
Language mismatch: Declared as pt but detected as en

Website Classification

Primary Category

technology software65% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
65%
cryptocurrency blockchain
62%
finance banking
56%
healthcare medical
48%
news media journalism
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25188.114.96.3United States
AS13335CLOUDFLARENET
3142.250.186.99United States
AS15169GOOGLE
2188.114.97.3United States
AS13335CLOUDFLARENET
276.223.60.10United States
AS16509AMAZON-02
265.8.131.109United States
AS16509AMAZON-02
213.248.176.92United States
AS16509AMAZON-02
22a00:1450:4001:82f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
265.8.131.74United States
AS16509AMAZON-02
22a00:1450:4001:827::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a06:98c1:3121::3United States
AS13335CLOUDFLARENET
3214--

Detected Technologies2

JQueryv2.1.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15213297893E7562AC83B86C0797523093AE7924ECA9709073BFC2B751FE9CDA741244D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UnuHAYtjWiTe6N02c08tF3lAnARYJFoqmwi0J5WM0yuxf+Nph7ewv6UJSj3c4FMy:RBxQFyFhrWM0Dxf+1ltkUgmV2EkOli

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42295:CUMAQoPE4FqXBMAwnD1IOgZVkC4dWksiMREBaAMVFphAASC5A7jujLEvHMHAAAOYgAIIRAiiIBLCAIQli8GtLgkAcKCo8FQM

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:01001c3c3c3d0100
Perceptual Hash:8a5c2527d78a5c67
Difference Hash:691731796971730d
Wavelet Hash:81193d3d3d3d3f01
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data