Summary
This website contacted 1 IP in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is kleinanzeigen.04939.icu and was registered NaN years ago.
Submitted URL: https://l24.im/3pvP
Effective URL: https://kleinanzeigen.04939.icu/receive/62678572?mail=W0FOQUZFTUFd&meta=rlWjMKWwLJ50LJqyVwb1YPWhLJ1yVwbvKUIxBQAxKUIxLmN5VRShLJMyoJRvYPWwnTS0K2yxVwbgZGNjZmH4ZQHmZwVmBFjvp2IlqzywMFV6VzgfMJyhLJ56MJyaMJ4vYPW0rKOyVwbvLJ5uMzIgLI9gLJyfVa0%3DRedirected
AI Security Verdict
High Risk
Confidence: 78%
New, unranked redirect site; likely suspicious – avoid.
Risk Factors
Details
Page Title
kleinanzeigen.04939.icu
Scan Type
public
Language
English
Category
real estate property
(39%)Domain Information
Within the Manx country-code top-level domain (.im), 'l24.im' is registered without a subdomain. The core label 'l24' covers 3 characters holding zero vowels versus one consonant, plus 2 digits. Tokenizing the label suggests two words: l, 24. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 3 | 188.114.97.3 | United States | |
| 3 | 1 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data