Summary
API
This website contacted 2 IPs in 1 country across 1 domain to perform 32 HTTP transactions. The main domain is leancon.ai and was registered 3 years 1 month ago.
Submitted URL: https://leancon.ai
AI Security Verdict
High Risk
Confidence: 70%
Page reads as a legitimate LeanCon construction-planning SaaS with no forms or impersonation, but its primary domain carries an unverified single-source malware-loader report, which drives an elevated risk rating.
Risk Factors (2)
Details
Page Title
LeanCon | Construction Planning Delivered in Minutes
Scan Type
public
Domain Name Analysis
You're looking at domain 'leancon.ai' on the Anguillan country-code top-level domain (.ai) while skipping any subdomain. Its registrable label 'leancon' stretches across 7 characters split between 3 vowels and four consonants. It segments into two words: lean, con. Median word length comes out to 3.5 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 |
|---|---|---|---|
| 16 | 104.21.16.221Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 16 | 172.67.216.65Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 32 | 2 | - | - |
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