Security Scan Report: medlineplus.awsqa.nlm.nih.gov

Submitted: Completed: publiccompleted
This website contacted 18 IPs in 2 countries across 10 domains to perform 77 HTTP transactions. The main domain is nih.gov and was registered 29 years ago.

Submitted URL: https://medlineplus.awsqa.nlm.nih.gov/ency/article/001374.htm

The Cisco Umbrella rank of the primary domain is #10,460 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Official MedlinePlus (NLM/NIH) medical encyclopedia article on dengue fever on a long-established government domain; no forms collecting credentials, no threat-intel, hunting rule, IDS or Safe Browsing hits.

Safety Factors (6)
Official National Library of Medicine / MedlinePlus domain (nlm.nih.gov) with 29-year registration history
Top-100K Cisco Umbrella ranking for the primary domain
No credential, payment, or disguised password fields anywhere on the page
No threat-intelligence, hunting rule, IDS, or Safe Browsing hits
Cross-origin requests limited to standard analytics/tracking services (Google Analytics, Crazyegg, Google Tag Manager)
Content is verifiable public-health reference material consistent with the MedlinePlus brand it displays
Domain age information unavailable

Details

Page Title

Dengue fever: MedlinePlus Medical Encyclopedia

Scan Type

public

Domain Name Analysis

The domain name 'medlineplus.awsqa.nlm.nih.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'medlineplus.awsqa.nlm'. The second-level label 'nih' is 3 characters long holding one vowel versus two consonants. Breaking it apart gives one word: nih. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://medlineplus.awsqa.nlm.nih.gov/ency/article/001374.htm

Page Load Overview

2.35s
Total Load Time
611 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,137 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
healthcare medical
36%
news
15%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
918.66.147.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4100.50.46.243Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
4104.17.215.66Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4130.14.14.161Gaithersburg, Maryland, United States
AS70National Library of Medicine
4142.250.154.97Google · CDNUnited States
AS15169Google LLC
4104.19.148.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.14.113Google · CDNUnited States
AS15169Google LLC
4108.132.245.86Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
413.35.58.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
452.222.136.83Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7718--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10BD2A5B269D47973865312CB71A3636EE572C587CA630800B5FC47982FEAFB8681705F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6WJYC2AF3XX7kjUa8dWJuRhRkRlOmLYaS3:6WeM37kjUa8r7okmLYaS3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30561:DyWhmFiRkHIqAyEwSMAQLBhCYritZsAUUJkVgcguwCIigAAgUAGEHElkhYoDQwgEEMJQAXIBAh5CUDG5QQGjVEYibJCKI1gw

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:3f7f7f7f7f3f0301
Perceptual Hash:80c03f870bff0f87
Difference Hash:c0c0e080e0e0c6e3
Wavelet Hash:3e7e1e7e3e3e0200
Color Hash:N/A

Other Hashes

Crop Resistant:c0c0e080e0e0c6e3

Scan History

Scan history not available

Unable to load historical scan data