Security Scan Report: moonlit-phoenix-8039b7.netlify.app

Submitted: Aug 15, 2026, 1:50:13 AMCompleted: Aug 15, 2026, 1:51:21 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The site imitates a Google login page but contains no forms; flagged by Safe Browsing and uses brand impersonation, indicating moderate risk.

Risk Factors
Brand impersonation of Google on a non‑official domain
Google Safe Browsing social engineering warning
Unknown subdomain age on a hosting platform
Domain age information unavailable

Details

Page Title

Sign in - Google Accounts

Scan Type

public

Domain Name Analysis

The domain name 'moonlit-phoenix-8039b7.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'moonlit-phoenix-8039b7'. The registrable portion 'netlify' spans 7 characters with two vowels and 5 consonants. It segments into 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://moonlit-phoenix-8039b7.netlify.app/

Page Load Overview

0.29s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:223 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software38% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
38%

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

T15F32F9A335A024207857C3B87A97E35A3623C403C906CA2479DC465EDF8EFD54DB76D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:wI7ThN4KRsqNmR4+F7OFFM5Mnx4AZRgXvOnxYDzT1B6Sf+Vqq27l:wIhWKWqe4K7OFFtnx3Lg2A/cVqVB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11457:4TAGUUi9EIBImhBgKqSQAAiCBgE5qEQ/AcgigKFGEECsIIIog/EPGVRKGoK6xCEQRIQBCgpIAcIgDLQUesEAsTUhQFRABVMy

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:7fe7e7e3e3ffff7e
Perceptual Hash:a623998c4c9d99db
Difference Hash:800c080404000080
Wavelet Hash:64e4e4e4232bf372
Color Hash:#1f9370

Other Hashes

Crop Resistant:800c080404000080

Scan History

Scan history not available

Unable to load historical scan data