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

Submitted: Sep 5, 2026, 4:51:06 AMCompleted: Sep 5, 2026, 4:52:15 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Page impersonates Google and harvests credentials on an unknown‑age Netlify subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation of Google
Credential collection form on unknown‑age subdomain
Unranked domain (not in Cisco Umbrella top 1M)
Domain age information unavailable

Details

Page Title

Sign in - Google Accounts

Scan Type

public

Domain Name Analysis

Domain 'moonlit-phoenix-8039b7.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'moonlit-phoenix-8039b7'. The core label 'netlify' covers 7 characters containing 2 vowels alongside five consonants. It segments into 3 words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.27s
Total Load Time
6 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
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB3209A3356024207467C2B87B97E34A36239403C9068A2479EC425EDF8EFE55EB76DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PABI7ThN4KRsqNmR4+F7OFFM5Mnx4AZRgXvOnxYDzT1B6Sf+Vqq27l:PABIhWKWqe4K7OFFtnx3Lg2A/cVqVB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11993:IfQmSEI48AUAhFKBIKBCL6EGHQQoIDNQSwjQByATGCTAoRgwRgIADhSAskUcBhK3MJiRACiFYULISYCUcrMKBBKgAgFBgQ6C

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:a623998d4ccd999b
Difference Hash:800c080404000080
Wavelet Hash:27a70707070fcf4e
Color Hash:#d279b8

Other Hashes

Crop Resistant:800c080404000080

Scan History

Scan history not available

Unable to load historical scan data