Summary
This website contacted 10 IPs in 2 countries across 11 domains to perform 41 HTTP transactions. The main domain is lillyoncologypipeline.com and was registered NaN years ago.
Submitted URL: https://lillyoncologypipeline.com
Effective URL: https://www.lillyoncologypipeline.com/Redirected
The Cisco Umbrella rank of the primary domain is #177,363 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 92%
Site impersonates Lilly brand on a low‑ranking domain; likely phishing – do not provide any information.
Risk Factors
Details
Page Title
Lilly Oncology Pipeline Database - View Statuses & Resources
Scan Type
public
Language
English
Category
documentation technical
(76%)Domain Information
The domain name 'lillyoncologypipeline.com' uses the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'lillyoncologypipeline' stretches across 21 characters split between eight vowels and 13 consonants. Splitting it apart reveals 3 words: lilly, oncology, pipeline. The median word length lands at eight 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 |
|---|---|---|---|
| 6 | 185.89.210.90 | Germany | |
| 3 | 18.245.86.88 | Germany | |
| 3 | 65.8.131.117 | United States | AS16509AMAZON-02 |
| 3 | 18.244.18.62 | Germany | |
| 3 | 18.245.60.47 | Germany | Unknown |
| 3 | 76.223.57.73 | United States | AS16509AMAZON-02 |
| 3 | 15.197.149.68 | United States | AS16509AMAZON-02 |
| 3 | 142.250.185.104 | United States | AS15169GOOGLE |
| 3 | 52.222.214.37 | Germany | Unknown |
| 3 | 23.56.207.178 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 33 | 10 | - | - |
Detected Technologies2
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