Security Scan Report: www.linkedin.com

Submitted: Apr 1, 2026, 11:18:06 AMCompleted: Apr 1, 2026, 11:19:14 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 12 domains to perform 103 HTTP transactions. The main domain is linkedin.com and was registered NaN years ago.

Submitted URL: https://www.linkedin.com/company/veo-technologies/?utm_source=ActiveCampaign&utm_medium=email&utm_content=Choose%20a%20FREE%20add-on&utm_campaign=Campaign%3A%20CFA26%20-%20Email%201%20%28ROW%29

The Cisco Umbrella rank of the primary domain is #260 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate LinkedIn company page for Veo Technologies; no security concerns detected.

Safety Factors
Established domain with high Cisco Umbrella ranking
No malicious Indicators of Compromise
Page type is article, not a phishing login page
All external resources are legitimate LinkedIn/ Microsoft services
Domain age information unavailable

Details

Page Title

Veo Technologies | LinkedIn

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

Domain 'www.linkedin.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'linkedin' stretches across 8 characters with 3 vowels and 5 consonants. Segmentation suggests 2 words: linked, in. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.linkedin.com/company/veo-technologies/?utm_source=ActiveCampaign&utm_medium=email&utm_content=Choose%20a%20FREE%20add-on&utm_campaign=Campaign%3A%20CFA26%20-%20Email%201%20%28ROW%29

Page Load Overview

2.16s
Total Load Time
103
HTTP Requests
12
Domains
18.9 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
Text Length:14,012 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
86%
social media network
83%
entertainment media
82%
government public service
76%
corporate business
74%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1534.120.250.63Kansas City, Missouri, United States
AS396982Google LLC
1134.36.73.246Kansas City, Missouri, United States
AS396982Google LLC
11142.251.127.84United States
AS15169Google LLC
11172.64.146.215United States
AS13335Cloudflare, Inc.
11146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
11146.75.123.42Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
11104.18.38.117United States
AS13335Cloudflare, Inc.
11150.171.109.194United States
AS8075Microsoft Corporation
11104.18.41.41United States
AS13335Cloudflare, Inc.
1039--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC849361A6F43A3B051786FA7692F711D9A5D10BD64C8DA5F8AC53840FE2FB22D1F20C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:aWa2Y4GcSRPd1ZNWuuG3CfGdaGMD+BJRyPqhzSoKQFUNluLueKykkFrwPVB1L56g:w1CbMLQqO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:389129:EEAQFAIBQiMEJCQsiMY50aECQHekL0MagBzUUwwhWhFjBqogQIAUdANFpANUIEAhwSGHhQRDRHCAICAGAIRuCEjoeAEIY+KT

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:0000999bdbdbffef
Perceptual Hash:9c336347343c99cb
Difference Hash:ccd333323232310c
Wavelet Hash:0000999b9b9bfbcf
Color Hash:#512dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data