government public service

education learning

news/blog

forum community discussion

English

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The domain 'colloq2023.nmanet.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'colloq2023'. The registrable portion 'nmanet' spans 6 characters with two vowels and four consonants. Breaking it apart gives two words: n, manet. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

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Congressman Hakeem Jefferies - National Colloquium on African American Health

Hakeem Jeffries represents the diverse Eighth Congressional District of New York, an area that encompasses large parts of Brooklyn and a section of Queens. Serving his fifth term in the United States Congress, Rep. Jeffries is a member of the House Judiciary Committee and House Budget Committee. Rep. Jeffries is Chairman of the House Democratic … Continue reading "Congressman Hakeem Jefferies"

https://colloq2023.nmanet.org/bios/congressman-hakeem-jefferies/

National Colloquium on African American Health

https://colloq2023.nmanet.org/manage/assets/uploads/2022/03/jeffries.jpeg

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generator

HSTS header missing - vulnerable to protocol downgrade attacks

CSP header missing - vulnerable to XSS attacks

Network Solutions, LLC

nmanet.org

Abuse

Google LLC

GOOGLE

Home

Congressman Hakeem Jefferies

The Journey to  Health Parity: Black Health &amp; Wellness Matter


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Requests	IP Address	Location	AS Autonomous System
10	172.217.208.95Google · CDN	United States	AS15169Google LLC
7	173.236.141.10	United States	AS26347New Dream Network, LLC
7	151.101.193.155Fastly · CDN	United States	AS54113Fastly, Inc.
7	142.251.110.97Google · CDN	United States	AS15169Google LLC
31	4	-	-

Security Scan Report: colloq2023.nmanet.org

Summary

AI Security Verdict

Safe Website

Safety Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Page Statistics

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History