Security Scan Report: www.pyth.network

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Submitted: Completed: publiccompleted
This website contacted 62 IPs in 3 countries across 33 domains to perform 265 HTTP transactions. The main domain is pyth.network and was registered 5 years ago.

Submitted URL: https://www.pyth.network/blog/pyth-network-adds-nyse-data-to-pyth-data-marketplace

The Cisco Umbrella rank of the primary domain is #707,153 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established pyth.network blog post announcing an NYSE market-data partnership. Self-branded, no forms, no credential capture, and no threat-intelligence, hunting rule, or IDS findings — legitimate corporate content.

Safety Factors (5)
Established domain (5+ years old)
Self-branding matches domain — no brand impersonation
Zero forms and zero credential/payment field capture
No Indicators of Compromise, hunting rule, or IDS hits
Content matches the domain's known business (market data infrastructure)
Domain age information unavailable

Details

Page Title

Pyth Network adds NYSE Data to Pyth Data Marketplace - Pyth Network — The Price of Everything

Scan Type

public

Domain Name Analysis

The domain 'www.pyth.network' uses the .network top-level domain and includes subdomain 'www'. Its registrable label 'pyth' stretches across 4 characters with zero vowels and four consonants. Word splitting yields two words: py, th. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

(2) PYTH Products Customers Solutions Resources Pricing A Pyth Network adds NYSE Data to Pyth Data Marketplace NYSE BCT, real-time quotes and trades from all five NYSE Group equity exchanges, is now...

Page Load Overview

3.63s
Total Load Time
4.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,041 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical61% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
61%
corporate business
52%
technology software
29%
government public service
26%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2131.43.160.6Aws · CLOUDNetherlands
AS16509Amazon.com, Inc.
431.43.161.6Aws · CLOUDNetherlands
AS16509Amazon.com, Inc.
4142.251.13.97Google · CDNUnited States
AS15169Google LLC
4184.24.77.29Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4172.66.171.25Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
418.64.211.45Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4143.204.181.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
418.245.86.101Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4172.65.208.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
418.64.211.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
26562--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15264D6235129E4245DD328FDE39DB62C682CA201FE33C19AA6FD056F99CEDF4226175C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jYim4TpcfFpBVxVPL3ItieSlkXesVkJVlat9VyalVbVe9V4wb3eLMe21yVU3eX7M:jYijTpGWADe21igSgwwSBD3Yqlg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:336336:ZLg1QZRF4FWNTYBlDIwQIgABwTmoFwAjCQ2wKAElQgEcggkozAKwE2+xAAaYZJGkxNVo2gCdTMjwaYIrjkAqGpsAyTiYMeQw

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:ffffff8381818181
Perceptual Hash:bfc0c63d3cc7c450
Difference Hash:380f863b3b3b2b2f
Wavelet Hash:feefff8181818181
Color Hash:07202400000

Scan History

Scan history not available

Unable to load historical scan data