Security Scan Report: vegnews.com

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Submitted: Dec 3, 2025, 5:06:37 AMCompleted: Dec 3, 2025, 5:10:34 AMpubliccompleted
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Summary

This website contacted 29 IPs in 3 countries across 23 domains to perform 187 HTTP transactions. The main domain is vegnews.com and was registered NaN years ago.

Submitted URL: https://vegnews.com/tabitha-brown-vegan-tiktok

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate VegNews article with no security concerns.

Safety Factors
Established domain with long registration history
Standard newsletter signup only (email field)
No suspicious redirects or external malicious links
Domain age information unavailable

Details

Page Title

From TikTok to Target, This Is the Tabitha Brown Effect | VegNews

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(88%)

Domain Information

Domain 'vegnews.com' uses the commercial generic top-level domain (.com) without a subdomain. The core label 'vegnews' covers 7 characters holding two vowels versus five consonants. Segmentation suggests 3 words: ve, g, news. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vegnews.com/tabitha-brown-vegan-tiktok

Page Load Overview

236.03s
Total Load Time
187
HTTP Requests
23
Domains
11.6 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:11,466 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network88% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
88%
news media journalism
69%
news/blog
50%
entertainment media
37%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19142.250.185.194United States
AS15169GOOGLE
6157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
665.9.175.114United States
AS16509AMAZON-02
6161.35.149.64Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
6206.189.173.88Santa Clara, California, United States
AS14061DIGITALOCEAN-ASN
6172.66.158.41United States
AS13335CLOUDFLARENET
6142.250.185.136United States
AS15169GOOGLE
6146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113FASTLY
664.233.184.157United States
AS15169GOOGLE
6216.58.206.66United States
AS15169GOOGLE
18729--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158F318E30104A1AA9D2F97A4FFB97709F70A883AD63765E6F1E52D5C2352BC53442B0C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bT/fpUBbrJPKfN0w+eASlR2wkesMLXBBcZP:f8brJPKF0wfAyR2wkesMLXBBc1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:161534:SAUwVkaGGESENERFgQAotCAQRyKCM2MHjIAFQhpEkoUOkBBApRiEIWQgEPcRB/vchBRirHS4gIAIQgSBRDGIAOmIigIB8EJB

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:e1ffffffbf00e2ff
Perceptual Hash:e349696bcb696289
Difference Hash:cb034487690d4e08
Wavelet Hash:60a9ffff3c0000e7
Color Hash:#3ad22d

Scan History

Scan history not available

Unable to load historical scan data