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Security Scan Report: fiscalpolicy.org

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Submitted: Jul 1, 2026, 3:01:40 PMCompleted: Jul 1, 2026, 3:03:13 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is fiscalpolicy.org and was registered NaN years ago.

Submitted URL: https://fiscalpolicy.org/new-york-hospitals-will-close-under-the-one-big-beautiful-bill-act

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate news article with low risk; no phishing or malware indicators detected.

Risk Factors
Critical JavaScript obfuscation score (high entropy, base64, concatenation)
Safety Factors
Long‑standing domain registration
Self‑branding, not impersonating another brand
Article content (og:type=article) – informational, not phishing
No credential/payment collection
Domain age information unavailable

Details

Page Title

New York Hospitals will Close under the "One Big Beautiful Bill Act" - Fiscal Policy Institute

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(85%)

Domain Information

You're looking at domain 'fiscalpolicy.org' on the non-profit oriented generic top-level domain (.org) with no subdomain. The second-level label 'fiscalpolicy' is 12 characters long split between four vowels and eight consonants. It segments into two words: fiscal, policy. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fiscalpolicy.org/new-york-hospitals-will-close-under-the-one-big-beautiful-bill-act

Page Load Overview

3.56s
Total Load Time
103
HTTP Requests
10
Domains
825 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:15,860 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism85% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
85%
documentation technical
75%
healthcare medical
73%
government public service
69%
news/blog
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28142.251.13.97Google · CDNUnited States
AS15169Google LLC
2565.21.110.156Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
25104.18.40.153Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
25141.193.213.10United States
AS209242Cloudflare London, LLC
1034--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C04F8726458003B52573BE9C056FF0CF1B7D254FB834B907AFCA26EA2CAEA9556170C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:B6jujR8AdBqzlzKNWbXrz/PsxvGooInk8bxAuwyF2M9OBFmY8XnnEnAQtiGTiduP:B6jI1WbXrz/PsxvGooInk8bxAuwyF2MW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:178679:MyBCCCIKV6BuMZOAgQkQIGHhgASwYInJIAORsaItKGUJGd6OUnACJIthIAB5AagoGQcgCiEKJGIAAJoEEeZgPGYmRQATMEDK

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:3f3fc5cdcd9d874f
Perceptual Hash:bb0705cf013f487b
Difference Hash:c0ec191919393c9c
Wavelet Hash:780785ddcd8d8707
Color Hash:#c58787

Other Hashes

Crop Resistant:c0ec191919393c9c

Scan History

Scan history not available

Unable to load historical scan data