Security Scan Report: frolicking-cannoli-62ddbc.netlify.app

Redirected to:
https://frolicking-cannoli-62ddbc.netlify.app/
Submitted: Jul 30, 2026, 1:45:12 PMCompleted: Jul 30, 2026, 1:46:20 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is frolicking-cannoli-62ddbc.netlify.app and was registered 8 years ago.

Submitted URL: http://frolicking-cannoli-62ddbc.netlify.app/

Effective URL:

https://frolicking-cannoli-62ddbc.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing page impersonating Google; avoid and report as scam.

Risk Factors (4)
Brand impersonation on unrelated domain
Credential harvesting form
Unranked hosting subdomain
Safe Browsing social engineering alert
Domain age information unavailable

Details

Page Title

Sign in - Google Accounts

Scan Type

public

Domain Name Analysis

You're looking at domain 'frolicking-cannoli-62ddbc.netlify.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'frolicking-cannoli-62ddbc'. The registrable portion 'netlify' spans 7 characters containing two vowels alongside five consonants. Tokenizing the label suggests 3 words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://frolicking-cannoli-62ddbc.netlify.app/

Page Load Overview

0.56s
Total Load Time
4 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:291 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software40% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
40%
social media network
32%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A02845A3AF704622453C5B837D367063661C0039806CE643BEC4BA8EF9AF955A633DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8w6592Y3xLP9OnCXVrNENm/cEF1Oh8KcFj:G59Vcm/cEWh8Kc1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8602:ba54AfIQiDBJoBAxKLxQLBqFQkABRQgM4UIKEAEEBwmoLgISYFFMccrAEAJAAQRGghSCAnibVNhYGADgIgQ4mMAxC0BcIUA0

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:3c3c181000000000
Perceptual Hash:cccc9bb366648999
Difference Hash:2a2a302418000000
Wavelet Hash:38383830273f0f0f
Color Hash:#2dd2ba

Other Hashes

Crop Resistant:2a2a302418000000

Scan History

Scan history not available

Unable to load historical scan data