Summary
API
This website contacted 1 IP in 1 country across 8 domains to perform 4 HTTP transactions. The main domain is itmecredits.comkaumistralustry-furnace-4.89-167-14-161.sslip.io and was registered 11 years ago.
Submitted URL: http://itmecredits.comkaumistralustry-furnace-4.89-167-14-161.sslip.io/hide.html
Effective URL:
The Cisco Umbrella rank of the primary domain is #479,547 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 85%
No malicious activity detected; site appears legitimate.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Domain Name Analysis
The domain name 'itmecredits.comkaumistralustry-furnace-4.89-167-14-161.sslip.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'itmecredits.comkaumistralustry-furnace-4.89-167-14-161'. The registrable portion 'sslip' spans 5 characters containing 1 vowel alongside four consonants. Breaking it apart gives two words: s, slip. Median word length is 2.5 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 |
|---|---|---|---|
| 4 | 89.167.14.161 | Gunzenhausen, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 4 | 1 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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