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Security Scan Report: poczta-onet.netlify.app

Redirected to:
https://poczta-onet.netlify.app/
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Submitted: Jul 24, 2026, 2:45:10 AMCompleted: Jul 24, 2026, 2:46:20 AMpubliccompleted

Summary

This website contacted 4 IPs in 2 countries across 7 domains to perform 3 HTTP transactions. The main domain is poczta-onet.netlify.app and was registered 8 years ago.

Submitted URL: http://poczta-onet.netlify.app/

Effective URL: https://poczta-onet.netlify.app/Redirected

AI Security Verdict

High Risk

Confidence: 88%

9
Risk Score

Site harvests Poczta Onet credentials on an unverified Netlify subdomain; high‑risk phishing page.

Risk Factors
Brand impersonation
Credential collection form
Unknown subdomain age on hosting platform
Threat‑intel IP match (known attacker)
External network request to ipify.org
Domain age information unavailable

Details

Page Title

Poczta Onet – potwierdzenie danych

Scan Type

public

Language

🇵🇱

Polish

(80% confidence)

Category

news media journalism

(52%)

Domain Information

Within the application-focused generic top-level domain (.app), 'poczta-onet.netlify.app' is registered, featuring subdomain 'poczta-onet'. The registrable portion 'netlify' spans 7 characters holding two vowels versus five consonants. Tokenizing the label suggests 3 words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://poczta-onet.netlify.app/

Page Load Overview

2.20s
Total Load Time
7
HTTP Requests
7
Domains
70 KB
Total Size

Language Analysis

Primary Language

🇵🇱Polish
Code: pl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pl
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pl
Text Length:461 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism52% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
52%
government public service
46%
gambling betting
42%
technology software
35%
social media network
33%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
435.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
165.9.130.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
118.64.211.121Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
74--

Page Statistics

7
Requests
6
Unique Domains
72.3 KB
Total Size

Detected Technologies1

PasswordField
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10332A85752F30841A513D0A97BF387092A25C103DC0ADE287FED57E9DF8EAA4A59378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Nr2d9TC6SL9Q1+eJ5raJy4yFOLzFHvCrB2r5iEiSiaiXCKSU8ciR:f6Jjn49FGc5iEiSiaiXOdciR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11408:oM4SBIkEhGES9LERAgJoUkGiKgBIIVzwKyAEAigo9xxLQSkoqNCrrEAIyCCTFcAQiTCnDSjXSkAcJApWEApDtGhjggwEnJXK

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:ffffe7ffe7e7e7ff
Perceptual Hash:b38ccc6699993366
Difference Hash:00320c320c4c0c10
Wavelet Hash:c0d8c0d8c3c3c3ff
Color Hash:#55bf40

Other Hashes

Crop Resistant:00320c320c4c0c10

Scan History

Scan history not available

Unable to load historical scan data