Security Scan Report: merry-maamoul-33ac49.netlify.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://merry-maamoul-33ac49.netlify.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Google login, collects credentials, and is flagged by Safe Browsing – treat as high‑risk phishing.

Risk Factors (3)
Brand impersonation of Google on unranked domain
Credential collection form
Safe Browsing social engineering warning
Domain age information unavailable

Details

Page Title

Sign in - Google Accounts

Scan Type

public

Domain Name Analysis

Domain 'merry-maamoul-33ac49.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'merry-maamoul-33ac49'. Count 7 characters in 'netlify' split between two vowels and five consonants. Word splitting yields three words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

regia c Sign in Use your Google Account | Email or phone — Forgot password? Create account Privacy - Terms

Page Load Overview

3.50s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:70%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:ar
Text Length:177 chars
Detector Agreement:100%
Language mismatch: Declared as ar but detected as en

Website Classification

Primary Category

education learning69% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
69%
social media network
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E912A5D722731415340389A87FF74B45391AE457E907C9683ADC53A8CF86BC8A9B3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2IGqTEb/ZHnDobxxUG+s+s2fvM/Zez43eVUO5ccJ/52ltsIJE7MHOHg5Pm:2IQdaQZe0gFm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9151:nWBDAohRE4GZWKJphDhC0gjwEWABKABWghshAMJQ8QSwJHBgEFkmmAoJp4JSIi0E6AQBAIctFCrECQAQJCZDc7FU1QhxLKyB

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:ffffe7e7e3e3ffff
Perceptual Hash:e69b9964319b6664
Difference Hash:0000080804040000
Wavelet Hash:3f2727270404243c
Color Hash:N/A

Other Hashes

Crop Resistant:0000080804040000

Scan History

Scan history not available

Unable to load historical scan data