Security Scan Report: jul-lhbedal7-joshkemi21-netizen.ipfs.4everland.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is 4everland.app and was registered 5 years ago.

Submitted URL: https://jul-lhbedal7-joshkemi21-netizen.ipfs.4everland.app/[email protected]

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Roundcube Webmail login hosted on IPFS that captures the entered username and password and posts them to an unrelated external domain (mybestjobs.co.ke). Clear credential phishing.

Risk Factors (5)
Brand impersonation of Roundcube Webmail on an unrelated IPFS host
Credential-harvesting login form (username + password) with pre-filled victim email address
Cross-origin POST of form data to mybestjobs.co.ke/gth/next.php — credential exfiltration
Decentralised IPFS hosting used to host a phishing kit
Unranked, unmoderated host with no legitimate relationship to the impersonated webmail service
Domain age information unavailable

Details

Page Title

Roundcube Webmail :: Welcome to Roundcube Webmail

Scan Type

public

Domain Name Analysis

Domain 'jul-lhbedal7-joshkemi21-netizen.ipfs.4everland.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'jul-lhbedal7-joshkemi21-netizen.ipfs'. The second-level label '4everland' is 9 characters long holding 3 vowels versus five consonants, along with 1 digit. Word splitting yields 3 words: 4, ever, land. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jul-lhbedal7-joshkemi21-netizen.ipfs.4everland.app/?email=sahana@cashninja.com

Page Load Overview

0.96s
Total Load Time
160 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:73 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism55% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news media journalism
55%
cryptocurrency blockchain
44%
technology software
33%
government public service
29%
healthcare medical
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
194.136.171.57United Kingdom
AS42831UK Dedicated Servers Limited
1104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
77--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125728DB738B315623407A1743FB6870A3A35C117920D9A653EBE53D88F8AE05ED613CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:U0s8FQPFIFklPFlszXqhQV0B0I2gnnS6EjcK6u0qf0bnkmB:U0s8FQPFIFkltybqhQVsQ6EjcK6VXB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17044:IAECAgDgAINkKGESAYYCpAVxi8SOBwAfQAOAEODzJGiFESIGQ+VgALkK6CsDZgBwDbQTKCkFShSCAEAAwEEGi1DihAIIFUBJ

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:0000181818000000
Perceptual Hash:cccd3333cccc1999
Difference Hash:1008103030080000
Wavelet Hash:3f3f3f3f18080000
Color Hash:070000001c0

Other Hashes

Crop Resistant:1008103030080000

Scan History

Scan history not available

Unable to load historical scan data