Security Scan Report: mcafee-antivirus.netlify.app

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Submitted: Jul 6, 2026, 11:36:09 AMCompleted: Jul 6, 2026, 11:37:16 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site impersonates the McAfee brand on an unranked Netlify subdomain without collecting credentials, yielding a moderate risk of brand‑related phishing.

Risk Factors (3)
Brand impersonation on a hosting‑platform subdomain
Unranked domain with unknown creation date
Urgent/discount marketing language
Safety Factors (3)
No forms collecting credentials or payments
No malicious JavaScript or network indicators detected
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

My Google AI Studio App

Scan Type

public

Domain Name Analysis

The domain 'mcafee-antivirus.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'mcafee-antivirus'. The second-level label 'netlify' is 7 characters long holding two vowels versus 5 consonants. Segmentation suggests three words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mcafee-antivirus.netlify.app/

Page Load Overview

0.55s
Total Load Time
495 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:13,944 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
government public service
32%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1863.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
181--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182A3633123183E3EA8578BE4F361B779516E5284EA1B90BCA1BC52711BCBC54FD6B2C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tiVL6IGGhVd2M/gssssussssrssssVssssZssssHssss97jD:6LFT/2ev

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100519:OEP6xMIJiRQ0aGESFAAOEYwCFYiFZN2rJELBZCAKEQEXUGCiAIEBzBmg6AUQMlBm4gEAhDHIQXiE9JiBFxppCMBCZCgAHAcZ

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:00ffffcbf1f1f1db
Perceptual Hash:ed92126d3a73126d
Difference Hash:6926381323232333
Wavelet Hash:00ffcf81f1f1d181
Color Hash:#3a7864

Scan History

Scan history not available

Unable to load historical scan data