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Security Scan Report: clinicaltables.nlm.nih.gov

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Submitted: Sep 17, 2026, 1:41:04 PMCompleted: Sep 17, 2026, 1:41:43 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/54eb384f-d5a5-475f-aa60-f59a61aed8f4Domain and IP registration (RDAP)/api/v1/rdap/54eb384f-d5a5-475f-aa60-f59a61aed8f4Certificate Transparency/api/v1/ct/clinicaltables.nlm.nih.govHow often this domain was scanned/api/v1/domain/stats/clinicaltables.nlm.nih.govScan history for this domain/api/v1/domain/history/clinicaltables.nlm.nih.gov?limit=15

This website contacted 9 IPs in 1 country across 7 domains to perform 28 HTTP transactions. The main domain is clinicaltables.nlm.nih.gov and was registered 21 years ago.

Submitted URL: https://clinicaltables.nlm.nih.gov

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official U.S. National Library of Medicine (NIH) Clinical Table Search Service on a 28-year-old .nih.gov domain. No credential/payment forms, no threat-intel, YARA, or IDS hits. Legitimate.

Safety Factors (5)
Well-established government domain (.nih.gov) active for 28 years
Ranked in Cisco Umbrella top 100K (10,460)
Content matches official National Library of Medicine clinical data service
No forms collecting credentials or payment data
No obfuscated or exfiltrating JavaScript; standard CDN/analytics only
Domain age information unavailable

Details

Page Title

Clinical Table Search Service

Scan Type

public

Domain Name Analysis

Domain 'clinicaltables.nlm.nih.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'clinicaltables.nlm'. Count 3 characters in 'nih' containing one vowel alongside 2 consonants. It segments into 1 word: nih. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://clinicaltables.nlm.nih.gov

Page Load Overview

2.16s
Total Load Time
912 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Text Length:21,175 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
healthcare medical
47%
government public service
38%
documentation technical
36%
technology software
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4130.14.65.58Bethesda, Maryland, United States
AS70National Library of Medicine
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3142.251.127.97Google · CDNUnited States
AS15169Google LLC
33.174.46.89Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
33.174.46.56Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
289--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14CA1F98B7BA1126B1A1680517BF3710DFE23D10B57A8D962BCEC805CEF97B5AC50B748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:5AbAQjeVZdgidGAn8oF6918Jo0q/3qA03c8Iy1L+QaS2:ubzjeXgidzd6918J8/3f0mS2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4991:AAAAFIAjABjASBAAgRDAgIFCAEZIARkIiiwYAEgoIyAAQBIQAAgABQlEggwEwGSIBoAUkoMAAAAgBChAoxIwAfEgKAIBKAGD

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:003f2fe7e76363e7
Perceptual Hash:a41b0c6c72655b7e
Difference Hash:60edcece8cc6c68e
Wavelet Hash:00002fe7f7636767
Color Hash:#761f93

Other Hashes

Crop Resistant:60edcece8cc6c68e,8000202020202020

Scan History

Scan history not available

Unable to load historical scan data