Security Scan Report: bellpass.netlify.app

Submitted: Aug 30, 2026, 12:45:20 PMCompleted: Aug 30, 2026, 12:47:56 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Netlify's own password gate in front of the site; no phishing, malware, or impersonation signals. Unknown-age subdomain and no reputation are weak priors only — content unobserved behind the gate.

Risk Factors (1)
Unranked subdomain on a free hosting platform (netlify.app) whose actual creation date is unknown
Safety Factors (4)
Gate page is the hosting provider's access-control mechanism, not a credential-harvesting form
No credential, payment, or disguised password fields tied to site content
No threat-intel, IDS, or JavaScript malware signals of any kind
No brand impersonation observed on the page
Domain age information unavailable

Details

Page Title

Password Protection

Scan Type

public

Domain Name Analysis

The domain 'bellpass.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'bellpass'. The second-level label 'netlify' is 7 characters long split between 2 vowels and five consonants. Word splitting yields 3 words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.36s
Total Load Time
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:82%
Script:Latin
Direction:ltr

Detection Details

Text Length:92 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism34% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
34%
government public service
30%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
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

T18971119A9A631882A903D9986BE3530627258113C107C8383FDD775CCFCB69D89F3B8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:8vupGJUJTxaTD706WrUNUJTb1ryE9hJN4JXBX1XqaqTV:MuPJdaTX06GtJfNyE7JN4JXhBmJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3548:CYtGIQAAQpQAQkAFgCiQoVIAQAgAAAgog2ACCCEIAATBAAJAEA8QAIAcACCRJAgIACBAEBgAggIECUIAAJQoAISACgABIMCl

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:0000001818000000
Perceptual Hash:9999666699996666
Difference Hash:100c30b2b2300410
Wavelet Hash:00003c3c18080000
Color Hash:#d22da6

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data