Summary
This website contacted 13 IPs in 4 countries across 9 domains to perform 2 HTTP transactions. The main domain is mcc-uc-cucms1.feparkermh.com and was registered 35 years ago.
Submitted URL: https://mcc-uc-cucms1.feparkermh.com
AI Security Verdict
Safe Website
Confidence: 80%
Page shows no malicious indicators, has no forms, and is hosted on a long‑standing domain.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'mcc-uc-cucms1.feparkermh.com' on the commercial generic top-level domain (.com), featuring subdomain 'mcc-uc-cucms1'. Count 10 characters in 'feparkermh' holding three vowels versus seven consonants. Tokenizing the label suggests three words: fe, parker, mh. Expect two characters per word on average. 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 |
|---|---|---|---|
| 10 | 94.237.98.241 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 1 | 79.127.216.204 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 208.91.197.27 | British Virgin Islands | AS40034Confluence Networks Inc |
| 1 | 188.114.97.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 85.9.205.255 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 1 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 94.237.80.97 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 1 | 87.248.119.252 | United Kingdom | AS203220Yahoo-UK Limited |
| 1 | 150.171.109.193Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 1 | 94.237.89.114 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 22 | 13 | - | - |
Page Statistics
Detected Technologies3
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