Security Scan Report: wellness.az.gov

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Completed: publiccompleted
This website contacted 16 IPs in 1 country across 2 domains to perform 10 HTTP transactions. The main domain is az.gov and was registered 27 years ago.

Submitted URL: https://wellness.az.gov/flushot

The Cisco Umbrella rank of the primary domain is #66,175 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Official Arizona Department of Administration (.az.gov, 27-year-old government domain) flu-shot benefits page. No forms collecting credentials or payment, no impersonation, no threat-intel or malware hits. Legitimate.

Safety Factors (5)
Established .gov domain (27 years old, ranked in the top 100K)
No credential or payment collection — single same-origin search form
No Indicators of Compromise, YARA, Safe Browsing or phishing/malware IDS hits
Consistent self-branding with the domain, no third-party brand impersonation
Cloudflare 'Just a moment...' challenge for the datacenter scanner is ordinary bot protection, not evasion
Domain age information unavailable

Details

Page Title

Flu Shot | Department of Administration | Benefits Wellnessother network

Scan Type

public

Domain Name Analysis

Domain 'wellness.az.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'wellness'. The registrable portion 'az' spans 2 characters split between one vowel and one consonant. Breaking it apart gives one word: az. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wellness.az.gov/flushot

Page Load Overview

0.59s
Total Load Time
1021 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,121 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
64%
government public service
50%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.18.36.192Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.110.97Google · CDNUnited States
AS15169Google LLC
0104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.21.27.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.64.151.64Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.94Google · CDNUnited States
AS15169Google LLC
1016--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE03951299F02037006384C66A79BB2DEAD2C05BEA076145F3BD476E5FDFD469C13A2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:YmamiHo5eR04drHk2ZevXDAoerRbx4jKXdeeeeOeeeepeeeeueeeehpfee0JxeJu:YnmiHo5eR04drHk2ZevXDAoerRd4IeeC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41283:MCEHyBSQAECvxSmQQSbUA8FFIARABMAUEkQAALiSJKgMJdkBCIYhIgOv1FgVAx0nhFAqIiAFAlAAAAAuKAGAHItSpMte6Bam

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:ff80000000ebffff
Perceptual Hash:f969969696978930
Difference Hash:2a1313131517603f
Wavelet Hash:ff80000000efffff
Color Hash:#6c9ae0

Scan History

Scan history not available

Unable to load historical scan data