Security Scan Report: fraser.stlouisfed.org

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Submitted: Oct 8, 2025, 9:17:44 PMCompleted: Oct 8, 2025, 9:18:26 PMpubliccompleted

Summary

This website contacted 17 IPs in 2 countries across 6 domains to perform 51 HTTP transactions. The main domain is fraser.stlouisfed.org and was registered NaN years ago.

Submitted URL: https://fraser.stlouisfed.org/title/federal-open-market-committee-meeting-minutes-transcripts-documents-677?browse=1930s

The Cisco Umbrella rank of the primary domain is #127,469 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

The site is a legitimate Federal Reserve resource with no security concerns.

Safety Factors
Well‑established government domain
Clear branding matching the official St. Louis Fed
Transparent content with public financial data
Domain age information unavailable

Details

Page Title

Federal Open Market Committee Meeting Minutes, Transcripts, and Other Documents | Title | FRASER | St. Louis Fed

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(70%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'fraser.stlouisfed.org' is registered; it also runs on subdomain 'fraser'. Count 10 characters in 'stlouisfed' containing 4 vowels alongside 6 consonants. Splitting it apart reveals three words: st, louis, fed. Median word length comes out to three characters. 'st' is most common in Danish usage. Usage also turns up in Dutch and Chinese (Pinyin) contexts. Taken together, it feels Danish.

Screenshot

Security scan screenshot of fonts.googleapis.com

Page Load Overview

2.47s
Total Load Time
51
HTTP Requests
6
Domains
783 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
Text Length:5,225 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
70%
government public service
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.185.72United States
AS15169GOOGLE
3216.58.206.74United States
AS15169GOOGLE
3172.217.18.3United States
AS15169GOOGLE
3142.250.186.174United States
AS15169GOOGLE
3216.239.32.36United States
AS15169GOOGLE
323.197.136.38Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
3142.250.184.234United StatesUnknown
32001:4860:4802:32::36United StatesUnknown
32a00:1450:4001:813::2008United StatesUnknown
32a00:1450:4001:828::2003United StatesUnknown
5117--

Page Statistics

51
Requests
9
Unique Domains
872.6 KB
Total Size

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C61383337C45581F01627AC66BF06B2D92C1C77ACAE12106B6ECC7975B86EE43E118AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PSnXHldZlymtVLTVUk5TV9+pDqVG24+/pIZpgTCvARupgew4dtrKrsMHtiD6bHSr:qvnqpDlF+/az0ttbK/7aF0vTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42667:gHAOICAHFISWAaMAGEIRs6CBAISqSCAJA97DWAUIE7UmAQQCQoMgOGDARyCHAeIHCADMCDoYMABYHkREEioIKRNAATCEIlYR

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:9380879f9fbf9f07
Perceptual Hash:be1e0c8e0e9e3696
Difference Hash:672b3c73696d676e
Wavelet Hash:9100879f9fbf9303
Color Hash:#783a4c

Other Hashes

Crop Resistant:672b3c73696d676e

Scan History

Scan history not available

Unable to load historical scan data