government public service

corporate

news/blog

English

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CookieConsent

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HandheldFriendly

MobileOptimized

width=device-width, initial-scale=1.0, viewport-fit=cover

viewport

max-snippet:-1,max-image-preview:large,max-video-preview:-1

robots

In response to misinformation about the 2025 reconciliation law, particularly regarding undocumented immigrants’ health care eligibility, this resource addresses misleading claims and explains why they are either highly distorted or entirely false.

description

Fact Checking Immigrants, Health Care, and the 2025 Tax and Budget Law

https://www.nilc.org/resources/fact-checking-immigrants-health-care-and-the-2025-tax-and-budget-law/

https://www.nilc.org/wp-content/uploads/2024/09/cropped-SEO-Image.png

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msapplication-TileColor

https://www.nilc.org/wp-content/themes/nilc2024/_html/source/images/favicons/browserconfig.xml

msapplication-config

theme-color

generator

HSTS header missing - vulnerable to protocol downgrade attacks

CSP header missing - vulnerable to XSS attacks

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Porkbun Abuse

Porkbun LLC

nilc.org


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Matomo

First-Party Tracking

Meta/Facebook

Google authentication and security services

Google

Consent Management Platform

✅ Low Risk - https://www.nilc.org/resources/fact-checking-immigrants-health-care-and-the-2025-tax-and-budget-law/

Requests	IP Address	Location	AS Autonomous System
57	142.250.184.226	Unknown	Unknown
0	142.250.186.46	Unknown	Unknown
0	216.58.206.68	Unknown	Unknown
0	142.251.140.163	Unknown	Unknown
0	167.172.238.193	Unknown	Unknown
0	104.18.1.22	Unknown	Unknown
0	104.26.8.19	Unknown	Unknown
0	142.250.186.72	Unknown	Unknown
0	23.212.215.73	Unknown	Unknown
0	216.58.206.42	Unknown	Unknown
57	106	-	-

Security Scan Report: www.nilc.org

Summary

AI Security Verdict

Safe Website

Safety Factors

Details

Website Access Blocked

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Content Similarity HashesFor malware variant detection

Image Hashes

Perceptual Hashes

Other Hashes

Scan History