Security Scan Report: www.philadelphiafed.org

Submitted: Nov 20, 2025, 11:05:43 AMCompleted: Nov 20, 2025, 11:08:22 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 5 domains to perform 44 HTTP transactions. The main domain is philadelphiafed.org and was registered NaN years ago.

Submitted URL: https://www.philadelphiafed.org/community-development/workforce-and-economic-development/do-anchor-institutions-support-regional-economic-resiliency-evidence-from-penn-state-university

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Federal Reserve page with no security concerns.

Safety Factors
Official Federal Reserve Bank of Philadelphia domain (philadelphiafed.org)
Consistent branding and content with the institution
Domain age information unavailable

Details

Page Title

Do Anchor Institutions Support Regional Economic Resiliency? Evidence from Penn State University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(78%)

Domain Information

You're looking at domain 'www.philadelphiafed.org' on the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Count 15 characters in 'philadelphiafed' containing six vowels alongside 9 consonants. Breaking it apart gives two words: philadelphia, fed. Average segment length settles at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.philadelphiafed.org/community-development/workforce-and-economic-development/do-anchor-institutions-support-regional-economic-resiliency-evidence-from-penn-state-university

Page Load Overview

1.53s
Total Load Time
44
HTTP Requests
5
Domains
1.2 MB
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
Text Length:4,544 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
78%
download file sharing
73%
healthcare medical
70%
adult content
65%
finance banking
49%

Detected Features

Articles
OG: {BA02F412-8FA7-4DB6-9EB8-ABAB104A3A63}

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
372.17.100.202Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.50.131.134Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
352.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
323.50.131.155Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.250.185.136United States
AS15169GOOGLE
313.107.246.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
32620:1ec:46::45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
32a00:1450:4001:831::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a02:26f0:7100::210:172Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32a02:26f0:7100::210:11aFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4414--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154E284319DF4117B611382C56BB997A6BF878B07F2421841B2AD0ECD8FD6D92880BD5F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:UmmSK5hKkeLxZfZgrLQ18/hQH+w4+hSaZ2tupfRce+m+cK+Yd0MciyIos:+RLQK+xMtuppF3xs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34065:xoAJ0gaRk4AgWpYBmQgECWBLHABHVBgJAJwbFg4QAwhVAYcCQxKBEMMBkhIIAYACFAOAqQAUCQ8Ji+RNIDaJ4LSkgzIViLLA

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:8181838181bdffff
Perceptual Hash:bb3d945a6b259c90
Difference Hash:1b3b332b2b691f33
Wavelet Hash:8181818181bdffff
Color Hash:#1f9321

Scan History

Scan history not available

Unable to load historical scan data