Security Scan Report: econet.live

Submitted: Mar 7, 2026, 12:38:30 PMCompleted: Mar 7, 2026, 12:39:59 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is econet.live and was registered NaN years ago.

Submitted URL: https://econet.live/public/vendors/timepicker/images/ui-icons_444444_256x240.html

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: '404 Not Found' with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(44%)

Domain Information

The domain 'econet.live' uses the .live top-level domain. Count 6 characters in 'econet' holding three vowels versus 3 consonants. Word splitting yields 2 words: eco, net. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://econet.live/public/vendors/timepicker/images/ui-icons_444444_256x240.html

Page Load Overview

0.17s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:85 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism44% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
44%
government public service
40%
healthcare medical
36%
phishing scam
34%
cryptocurrency blockchain
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
286.107.77.238Germany
AS216395HostBet Cloud Technologies Private Limited
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A21A717C1D1545BD8330060FA81AB6292194291661B9FA03ADFB669F1CE19A66B12EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hViH43IgD6FJRA3ZsjNQCRtgoLY95Mu56+eMHLFySH43It:biAIo69j2CZLY5Mc6NML7AIt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1142:AAAAEAAAAEQAAAAAAAAAAAAAAAAAAIAAgBAAABAAAAQAgAABAAAAMACBCIACAAAAAAgAQAAAAQAAACIAAAAIAAAAAAAAAEAA

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:ffffe7e7ffffffff
Perceptual Hash:e666999926666699
Difference Hash:08000c0c00000000
Wavelet Hash:fcfce4e4041c3c3c
Color Hash:#1f3393

Other Hashes

Crop Resistant:08000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data