Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ptl-pusa01.app.blackbaud.net and was registered NaN years ago.
Submitted URL: https://ptl-pusa01.app.blackbaud.net
The Cisco Umbrella rank of the primary domain is #18,520 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
No security concerns detected; the site is a legitimate, well‑established domain returning a 404 page.
Safety Factors
Details
Page Title
ptl-pusa01.app.blackbaud.net
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(50%)Domain Information
The domain name 'ptl-pusa01.app.blackbaud.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'ptl-pusa01.app'. The second-level label 'blackbaud' is 9 characters long split between three vowels and six consonants. It segments into 2 words: black, baud. Median word length is 4.5 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 |
|---|---|---|---|
| 1 | 52.179.210.140 | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 1 | 1 | - | - |
Detected Technologies1
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