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Security Scan Report: www.alabamapublichealth.gov

Response type:PDF documentapplication/pdfHTTP 200The address opens a PDF document rather than a web page.
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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/7c45d7b9-86db-4434-85e9-623d39c13729Domain and IP registration (RDAP)/api/v1/rdap/7c45d7b9-86db-4434-85e9-623d39c13729How often this domain was scanned/api/v1/domain/stats/alabamapublichealth.govScan history for this domain/api/v1/domain/history/alabamapublichealth.gov?limit=15
This website contacted 6 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is alabamapublichealth.gov and was registered 9 years ago.

Submitted URL: https://www.alabamapublichealth.gov/familyplanning/assets/factsaboutdepoprovera.pdf

The Cisco Umbrella rank of the primary domain is #883,418 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate health information PDF from Alabama Public Health.

Safety Factors (4)
Established .gov domain
Long domain age and reputable ownership
No suspicious content or phishing language
PDF document with public health information
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain name 'www.alabamapublichealth.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Its registrable label 'alabamapublichealth' stretches across 19 characters split between eight vowels and eleven consonants. Splitting it apart reveals three words: alabama, public, health. Expect 6 characters per word on average. Most frequently, 'alabama' shows up in Chinese (Pinyin). Secondary signals appear in English and French.

Screenshot

(= faiseboutdepoprovera pl) ive Jo mao) G@OISIoe 6606 Facts About Depo-Provera (The Shot) What is Depo-Provera? Depo-Provera is a shot that prevents pregnancy fer up to 3 months. There are twe type...

Page Load Overview

1.02s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🇪🇪ET
Code: et
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Text Length:31,300 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software57% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
57%
documentation technical
56%
cryptocurrency blockchain
51%
government
48%
entertainment media
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0104.26.11.75United States
AS13335CLOUDFLARENET
0172.67.70.177United States
AS13335CLOUDFLARENET
0104.26.10.75United States
AS13335CLOUDFLARENET
02606:4700:20::681a:a4bUnited States
AS13335CLOUDFLARENET
02606:4700:20::ac43:46b1United States
AS13335CLOUDFLARENET
02606:4700:20::681a:b4bUnited States
AS13335CLOUDFLARENET
26--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ABC372367FF76C95C45DE18A82883C483DDB2687C6F1284BF7CE9E01DF10A46598B25A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:BS06ngxC/Dc+yRxRfjcmypyEK7o9XTPXPY2:96cgDc+InoDRbl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123845:CDJQwQXUBIxGUmTiBwAmMgpMMDYhCCAD4QJKIKIBOqgwBHQO4CYXLJATJKQVQTkkYRWAVDGtkRAssIoBiAgTiKDIxB4YYWAU

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:1c1c9c1c1c1c1c1c
Perceptual Hash:9e6d6d6113636989
Difference Hash:3034383cbc34b4b8
Wavelet Hash:1c9c9e1e1e1e1e1e
Color Hash:N/A

Other Hashes

Crop Resistant:0f0f787e7a4b445d,cbcbcbcbe0c3c8c6,0e063abe922db9aa,7337727676726254,3034383cbc34b4b8

Scan History

Scan history not available

Unable to load historical scan data