Security Scan Report: lifestyleofafoodie.com

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Submitted: Dec 21, 2025, 2:15:38 PMCompleted: Dec 21, 2025, 2:17:04 PMpubliccompleted
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Summary

This website contacted 65 IPs in 7 countries across 47 domains to perform 255 HTTP transactions. The main domain is lifestyleofafoodie.com and was registered NaN years ago.

Submitted URL: https://lifestyleofafoodie.com/ina-garten-brownie-pudding/

The Cisco Umbrella rank of the primary domain is #913,813 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Password fields on a low‑rank, well‑aged domain raise moderate risk; proceed carefully.

Risk Factors
Password fields on a low‑reputation domain may be used for credential harvesting
Low Cisco Umbrella ranking (913,813) increases suspicion for brand‑related pages
Multiple redirects (4) can be used to obscure the true destination
Safety Factors
Domain age is 2578 days (well‑established)
No malicious Indicators of Compromise matches found
No payment or credit‑card fields present
Standard hosting without IPFS or cloud‑storage red flags
No noindex meta tags detected
Domain age information unavailable

Details

Page Title

The Viral Ina Garten Brownie Pudding Recipe Everyone Is Making

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(98%)

Domain Information

Within the commercial generic top-level domain (.com), 'lifestyleofafoodie.com' is registered with no subdomain. Its registrable label 'lifestyleofafoodie' stretches across 18 characters containing 9 vowels alongside nine consonants. Tokenizing the label suggests five words: lifestyle, of, a, food, ie. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lifestyleofafoodie.com/ina-garten-brownie-pudding/

Page Load Overview

11.85s
Total Load Time
255
HTTP Requests
47
Domains
2.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:14,337 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
98%
entertainment media
82%
news media journalism
55%
blog personal website
52%
adult content
40%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6323.52.180.230Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
3199.232.174.114Stockholm, Stockholm County, Sweden
AS54113FASTLY
33.164.68.30United States
AS16509AMAZON-02
3188.245.186.73Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
3199.232.174.132Stockholm, Stockholm County, Sweden
AS54113FASTLY
352.223.6.21United States
AS16509AMAZON-02
3185.89.211.116Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
33.124.64.248Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3185.89.210.20Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
3216.58.209.162United States
AS15169GOOGLE
25565--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C6C46DB2AE6414768B6F8344916FF78DB2208023DB8A47DDF1A5836C65CEDF51136B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:wXup82WW84z8JRZJ6IDeR4h9sTxB3VjAwhETIF8GpMrZ4Ds3:wXu984zVs3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:586918:EIx8mEGTCCIKzQVawYkAQyMggQOoCAgA5InAqWkIG0KCBAZwIZQECECJEBDABR4KDD4VuqRmXZEZ+LEGJABEFRqDtIICDIBC

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:00df89d9f9cff9f9
Perceptual Hash:e91e16964d693e49
Difference Hash:263b3b33332c3313
Wavelet Hash:008f8989f987f9e9
Color Hash:#1f6d93

Scan History

Scan history not available

Unable to load historical scan data