Security Scan Report: etijose.top

Redirected to:
https://www.mcafee.com/de-de/index.html
Site favicon
Submitted: Completed: publiccompleted
This website contacted 19 IPs in 4 countries across 16 domains to perform 94 HTTP transactions. The main domain is etijose.top.

Submitted URL: https://etijose.top

Effective URL:
https://www.mcafee.com/de-de/index.html
Redirected

AI Security Verdict

Safe Website

Confidence: 86%

1
Risk Score

Redirect chain from a .top host ends on the genuine www.mcafee.com homepage. No impersonation, no credential or payment form, no malware or phishing evidence — the page served is McAfee's own site.

Safety Factors (4)
Final destination is the brand's own official domain, www.mcafee.com, ranked in the Cisco Umbrella top 1M
No credential-harvesting or payment forms on the page — identical counts from the captured DOM
No obfuscated or malicious JavaScript, no hunting rule or kit-roster matches
Cross-origin form submission goes to mcafee.com (legitimate same-brand SSO/purchase flow)
Domain age information unavailable

Details

Page Title

McAfee | Sicher online mit Antivirus und VPN – Download frei

Scan Type

public

Domain Name Analysis

The domain 'etijose.top' uses the .top top-level domain and has no subdomain. The second-level label 'etijose' is 7 characters long holding four vowels versus 3 consonants. It segments into 3 words: et, i, jose. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://etijose.top

Page Load Overview

0.78s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de-DE
Text Length:15,855 chars
Detector Agreement:80%

Website Classification

Primary Category

blog personal website87% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
87%
technology software
79%
corporate business
75%
phishing scam
73%
news media journalism
53%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22172.236.104.43Chicago, Illinois, United States
AS63949Akamai Connected Cloud
4172.234.216.100Chicago, Illinois, United States
AS63949Akamai Connected Cloud
4172.232.7.47Chicago, Illinois, United States
AS63949Akamai Connected Cloud
4172.238.172.122Chicago, Illinois, United States
AS63949Akamai Connected Cloud
4173.239.53.32Garden City, New York, United States
AS27257Webair Internet Development Company Inc.
45.79.110.170Netherlands
AS60781LeaseWeb Netherlands B.V.
4104.103.106.200Akamai · CDNVienna, Vienna, Austria
AS16625Akamai Technologies, Inc.
423.36.156.195Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
423.52.180.163Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
423.194.190.151Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9419--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E15FE5CB0A49368A0BF20F769D105427F5EF7C2DAC991D5B2AE4BA42BD3C66F80F051

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:kvtVX3RGV9kII2FeipbVxub7Iluvub7Ilujg7I02iub7Iluj77IcSqub7Ilu2K7a:mtVnRe9G/ZSNXCyD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:919486:AmUBgOEnAogEx6gAVyKGIOxIgF6gRAIqizIFHkiiMBxHAwAjUjS2kySkAhU0aEzUK6AAgmMwHwTAgiDDSABwCY5HAT5EBAGa

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:fffff9b9b979f9f0
Perceptual Hash:cb95f6996c890dc8
Difference Hash:b29973737353a121
Wavelet Hash:fffc19190939f0c0
Color Hash:#bd6ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data