Security Scan Report: leonardoai.pxf.io

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Submitted: Dec 21, 2025, 4:31:44 PMCompleted: Dec 21, 2025, 4:32:53 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is leonardoai.pxf.io and was registered NaN years ago.

Submitted URL: https://leonardoai.pxf.io

The Cisco Umbrella rank of the primary domain is #3,463 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate but is currently unreachable.

Safety Factors
Well‑established domain
High Cisco Umbrella reputation
Absence of credential or payment collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

leonardoai.pxf.io

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

news media journalism

(39%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'leonardoai.pxf.io' is registered; it also runs on subdomain 'leonardoai'. Its registrable label 'pxf' stretches across 3 characters split between 0 vowels and 3 consonants. Splitting it apart reveals two words: px, f. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://leonardoai.pxf.io

Page Load Overview

0.85s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:91 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism39% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
39%
adult content
32%
healthcare medical
27%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.201.76.231Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Oldq:AhoC9JSqzzbs6o3Sj3gcrsY2eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184553:UpRhGseLQgPIAOAECBQS5SQsAICmIqSEEgkSEAKQoIBzgU0KEEMQDAqDXMUAAsAAhRwWg0phoLICyTSOFoMFgAAECBAoJMpN

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

Average Hash:7f7f0707fffffcfc
Perceptual Hash:9221d2ed5e3d3370
Difference Hash:c0c0587860000004
Wavelet Hash:4f4f07070c0c0f0c
Color Hash:#82bf40

Other Hashes

Crop Resistant:c0c0587860000004

Scan History

Scan history not available

Unable to load historical scan data