Security Scan Report: enterkaitaelleme.sbs

Redirected to:
https://enterkaitaelleme.sbs/login_up.php
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 3 countries across 3 domains to perform 27 HTTP transactions. The main domain is enterkaitaelleme.sbs and was registered 6 days ago.

Submitted URL: https://enterkaitaelleme.sbs/

Effective URL:
https://enterkaitaelleme.sbs/login_up.php
Redirected

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Unranked .sbs host running a Plesk admin login. Host IP appears on Spamhaus DROP (abuse reputation), but no phishing kit, credential exfiltration, or brand impersonation was detected.

Risk Factors (2)
Credential login form hosted on unranked, random-looking .sbs domain
Hosting IP flagged by Spamhaus DROP (generic abuse reputation, not content malware)
Safety Factors (5)
Login form posts same-origin; no cross-origin credential exfiltration detected
No threat-intelligence Indicators of Compromise against the page or its resources
No JavaScript malware (hunting rule) patterns or obfuscated credential-handling behavior
Page displays its own software brand (Plesk panel), not another entity's brand
No payment fields, no disguised/hidden password fields
Domain age information unavailable

Details

Page Title

Plesk Obsidian 18.0.80

Scan Type

public

Domain Name Analysis

Within the .sbs top-level domain, 'enterkaitaelleme.sbs' is registered. Its registrable label 'enterkaitaelleme' stretches across 16 characters with eight vowels and 8 consonants. It segments into six words: enter, ka, it, a, elle, me. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enterkaitaelleme.sbs/

Page Load Overview

1.62s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:445 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software47% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
47%
cryptocurrency blockchain
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9217.60.102.144Netherlands
AS209373Swissnet LLC
634.8.226.60Google · CDNKansas City, Missouri, United States
AS396982Google LLC
634.246.208.147Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
6108.133.19.3Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
274--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12DA3061A48183F3B07C723F27C9B358DBAB49194A1D41050A9EE816D07EEF9DE12F06B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:rNoMidlQUyi3jtCte8LzUZlfRjyto6j2Z7nm6xzw2NSZ/rPPnpOa58kp:poMidlQUyvhUZV9B6jc7nXU/rXRC4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103850:gDlyrQsATxpLmAQROAcBMGgBhSK0oPQBCNppAEA6EkHLSAItQICymGUwJYAkCwIACBEGAYdBwgBzZRoHAA4knoAJInAaAUNw

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:0018011818181800
Perceptual Hash:886667cc743633b3
Difference Hash:61730db3b3b3b34d
Wavelet Hash:0018233b3d3d3931
Color Hash:#e06cb1

Scan History

Scan history not available

Unable to load historical scan data