Security Scan Report: www.vaccineadvisor.com

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Submitted: Jul 5, 2026, 11:26:48 PMCompleted: Jul 5, 2026, 11:28:17 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 2 HTTP transactions. The main domain is vaccineadvisor.com and was registered NaN years ago.

Submitted URL: https://www.vaccineadvisor.com/news/nyc-legionnaires-outbreak-fourth-death-confirmed-101-sickened/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears legitimate with a low risk level; it hosts a standard login form on an established domain.

Risk Factors
High JavaScript obfuscation score (minified/packed code)
Multiple external ad/tracking domains loaded
Safety Factors
Established domain with long registration history
Self‑branding aligns with domain
No external threat intelligence hits
No cross‑origin credential submission
Domain age information unavailable

Details

Page Title

NYC Legionnaires' Outbreak: Fourth Death Confirmed, 101 Sickened - Vaccine Advisor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(47%)

Domain Information

The domain 'www.vaccineadvisor.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'vaccineadvisor' stretches across 14 characters containing six vowels alongside 8 consonants. Segmentation suggests two words: vaccine, advisor. Average segment length settles at 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.vaccineadvisor.com/news/nyc-legionnaires-outbreak-fourth-death-confirmed-101-sickened/

Page Load Overview

10.34s
Total Load Time
251
HTTP Requests
46
Domains
2.3 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:5,566 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
47%
government public service
28%
news/blog
20%
news
15%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2698.89.101.246Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
25142.251.20.95Google · CDNUnited States
AS15169Google LLC
25104.20.20.189Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2518.66.147.10Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
25104.18.9.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2598.90.100.204Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2565.8.131.25Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
25104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
25142.251.13.154Google · CDNUnited States
AS15169Google LLC
252.16.204.150Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
25110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DB4F176CD8C0B7E8654150DB0B96B1C53F2C64EC963B58AF7B72A1B9BD6E40960B0CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:AGVFyJ0bVHmTC5LSX6v8YJWKpUaXcdbXAl:AGVFZ75z1JXmaXCg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500057:TAANMICYBSiRcJS0KVqhEYmhIAEFAhgpjSMggUBCGAvYASlJASDMiErhQjARZnOKDAkSIQQkKJgAHnAQMSlAomUoKVO+AgMC

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:00003c3c3c3c0000
Perceptual Hash:8b4630edcfb96630
Difference Hash:2bc5e97969699f99
Wavelet Hash:01003cffbfff8301
Color Hash:#643a78

Scan History

Scan history not available

Unable to load historical scan data