Security Scan Report: fiscalpolicy.org

Submitted: Jan 20, 2026, 5:18:52 AMCompleted: Jan 20, 2026, 5:20:25 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 1 HTTP transaction. The main domain is fiscalpolicy.org and was registered NaN years ago.

Submitted URL: https://fiscalpolicy.org/author/eeisner

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate informational page about an economist; no security concerns detected.

Safety Factors
Established domain with long registration history
Informational content with clear author attribution
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Emily Eisner, Author at Fiscal Policy Institute

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

The domain 'fiscalpolicy.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. The registrable portion 'fiscalpolicy' spans 12 characters containing 4 vowels alongside eight consonants. Tokenizing the label suggests 2 words: fiscal, policy. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fiscalpolicy.org/author/eeisner

Page Load Overview

5.34s
Total Load Time
96
HTTP Requests
9
Domains
365 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:10,097 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
63%
news media journalism
58%
education learning
57%
corporate
35%
social_media
30%

Detected Features

Search
Articles
OG: profile
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12141.193.213.10United States
AS209242Cloudflare London, LLC
12104.18.40.153United States
1265.21.110.156Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
12142.250.185.72United States
AS15169GOOGLE
12142.250.186.164United States
AS15169GOOGLE
12142.251.141.67Unknown
12195.181.175.41Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
12104.17.24.14UnknownUnknown
968--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104D3B7B2A41C8437036777DD8196F71CE1B7D268EB824D91BFFD932C97CAEA4205A508

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:v6Kr3VZkzNKucbXrz/PSv86fhxAuwyF2M9OBkmY8XnnEnbHAkpfki0AjV6mpI9gu:v64ucbXrz/PSv86fhxAuwyF2M9OBkmYc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:138747:C2EGAiChQBOmYKS7jBigKJNGKYDESgCIEdAoAEQRZhG2wlRABTIIFQKARAQcCI0AwYgxWAQYSx7EXpRAQsE3TplIc1kZYFMo

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:7f0081e7e7dfffff
Perceptual Hash:a70f0987a38d9ce3
Difference Hash:c0f1330f8e360e1a
Wavelet Hash:7f008187c7c3c3cf
Color Hash:#862d5c

Scan History

Scan history not available

Unable to load historical scan data