Security Scan Report: assets.pippa.io

Submitted: Jul 6, 2026, 4:31:52 AMCompleted: Jul 6, 2026, 4:33:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is assets.pippa.io and was registered NaN years ago.

Submitted URL: https://assets.pippa.io

The Cisco Umbrella rank of the primary domain is #146,273 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

documentation technical

(44%)

Domain Information

The domain 'assets.pippa.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'assets'. The core label 'pippa' covers 5 characters split between 2 vowels and 3 consonants. Splitting it apart reveals two words: pip, pa. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://assets.pippa.io

Page Load Overview

0.21s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:456 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical44% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
44%
healthcare medical
32%
cryptocurrency blockchain
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
218.245.60.66Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE5167A5EAE309B51137C8E11AFF676631EAC037D19A6265F69C5398CFCDD40BC31901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9yW5ok1ncqugukVPANyAgN+NPFFNKy5PertF:niFWN15AN427zyW5fczgumPANhgNyPL6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2896:ICAAEBgEiAAAhkAAEQEAgYAABEgICAQgAAQAJACCAoEEBAAAAECIIZJAAAAkAAAAABQCAAAA0GlAACAwCAAAAAQBAQACCAJB

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:001fffffffffffff
Perceptual Hash:991919191d1f1e7e
Difference Hash:f8d0000000000000
Wavelet Hash:000fffff00000000
Color Hash:#3a783b

Other Hashes

Crop Resistant:f8d0000000000000

Scan History

Scan history not available

Unable to load historical scan data