Security Scan Report: ppslider.netlify.app

Submitted: Feb 5, 2026, 11:04:53 PMCompleted: Feb 5, 2026, 11:06:24 PMpubliccompleted
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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 ppslider.netlify.app and was registered NaN years ago.

Submitted URL: https://ppslider.netlify.app

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; the site appears safe.

Safety Factors
No credential or payment forms present
No malicious JavaScript patterns detected
Site returns a standard error page (ERR_TUNNEL_CONNECTEON_FATLED)
No external domains linked
Domain age information unavailable

Details

Page Title

ppslider.netlify.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

The domain 'ppslider.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'ppslider'. The core label 'netlify' covers 7 characters containing two vowels alongside 5 consonants. Splitting it apart reveals 3 words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ppslider.netlify.app

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:756 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
65%
adult content
56%
government public service
28%
phishing scam
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B7048F77329A063986558498F05B43099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:gfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszO2bMy8Oldi:rhoC9JSqzzbs6o3Sj3gcrs62eAI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184491:aTBtBABEGBsBFKQgIEgABlig4QgAkkbsEFLsKXIRwIGSEEOGE8FFQMDQL5shzFgqRgMmwCIQKNFAyiQACJhmUjgISRCQAADw

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:3c1c000c0f0f0f0f
Color Hash:#87c5be

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data