Summary
API
This website contacted 4 IPs in 1 country across 14 domains to perform 65 HTTP transactions. The main domain is pips2.com and was registered 1 year ago.
Submitted URL: https://pips2.com/today
AI Security Verdict
Low Risk
Confidence: 85%
The site shows its own branding, has no forms or malicious indicators, and appears legitimate.
Safety Factors (5)
Details
Page Title
Pips NYT Today - Easy, Medium, and Hard | Pips2
Scan Type
public
Domain Name Analysis
Within the commercial generic top-level domain (.com), 'pips2.com' is registered while skipping any subdomain. The registrable portion 'pips2' spans 5 characters containing one vowel alongside 3 consonants, along with one digit. Word splitting yields 2 words: pips, 2. 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 |
|---|---|---|---|
| 17 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 16 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 16 | 188.114.97.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 16 | 142.251.14.157Google · CDN | United States | AS15169Google LLC |
| 65 | 4 | - | - |
Detected Technologies4
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