Security Scan Report: kaitaellemeentermenter.sbs

Redirected to:
https://kaitaellemeentermenter.sbs/login_up.php
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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 3 countries across 3 domains to perform 27 HTTP transactions. The main domain is kaitaellemeentermenter.sbs and was registered 6 days ago.

Submitted URL: https://kaitaellemeentermenter.sbs/

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

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Genuine-looking Plesk login, but on a 4-day-old random .sbs domain whose host IP is Spamhaus DROP-listed. No exfiltration or malware, yet the operator cannot be verified — do not enter credentials unless you own this server.

Risk Factors (3)
Control-panel login presented on a 4-day-old, unranked domain with a random, unmemorable name — no way to verify who operates the server being logged into
Host address returned an ET DROP Spamhaus drop-list IDS alert, suggesting the infrastructure is associated with abusive traffic
Logging in would hand server-administrator credentials to an unidentified operator on very new infrastructure
Safety Factors (5)
No brand impersonation of another organisation: the title is auto-generated Plesk software branding, and Plesk panels are normally served on customer-owned hostnames
No credential exfiltration and no cross-origin form submission — the form posts to its own origin
No hunting rule malware patterns, no obfuscated or anti-analysis JavaScript, no known phishing kit in the kit roster
No threat-intelligence Indicators of Compromise against the page or its loaded resources
Page loads genuine Plesk/Sentry resources, consistent with a real, unmodified control panel
Domain age information unavailable

Details

Page Title

Plesk Obsidian 18.0.80

Scan Type

public

Domain Name Analysis

The domain name 'kaitaellemeentermenter.sbs' uses the .sbs top-level domain and has no subdomain. Count 22 characters in 'kaitaellemeentermenter' with 10 vowels and 12 consonants. Breaking it apart gives 8 words: ka, it, a, elle, me, enter, m, enter. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.04s
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
7217.60.102.144Netherlands
AS209373Swissnet LLC
563.33.76.219Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
534.111.148.117Google · CDNKansas City, Missouri, United States
AS396982Google LLC
534.8.226.60Google · CDNKansas City, Missouri, United States
AS396982Google LLC
534.246.208.147Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
275--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18BA3061A48183F3B07C723F27C9B358DBAB49194A1D41050A9EE816D07EEF9DE52F06B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lNoMidlQUyi3jtCte8LzUZlfRjyto6j2Z7nm6xzw2NSZ/rPPnpOa58kp:7oMidlQUyvhUZV9B6jc7nXU/rXRC4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103850:mjAyLQoABxhIiAQJICMlUGkDhCL4oCQgLFppUEAZGKGNEAgrQAOwBoUih5ACAAaAEBKCASagzgRhZBoEgA4gmIAJIlBCKwJg

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:#4082bf

Scan History

Scan history not available

Unable to load historical scan data