Security Scan Report: cycling74.com

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Submitted: Sep 28, 2026, 6:12:17 AMCompleted: Sep 28, 2026, 6:12:55 AMpubliccompleted

This website contacted 10 IPs in 1 country across 10 domains to perform 144 HTTP transactions. The main domain is cycling74.com and was registered 22 years ago.

Submitted URL: https://cycling74.com/forums/how-to-send-messages-in-and-out-of-poly

The Cisco Umbrella rank of the primary domain is #679,667 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Long-established official Cycling '74 community forum. Own-brand content, no credential or payment forms, only a MailerLite newsletter signup. No threat-intel, YARA or IDS hits — legitimate site.

Safety Factors (5)
Established domain (29 years old, registered 1997)
Self-branding detected — title/meta match the domain, no impersonation
Newsletter form uses reputable third-party provider (MailerLite)
Cisco Umbrella top-1M ranked domain (#679,667)
Cross-origin traffic limited to common services (Rollbar, MailerLite, Gravatar)
Domain age information unavailable

Details

Page Title

How to send messages in and out of poly? - MaxMSP Forum | Cycling '74

Scan Type

public

Domain Name Analysis

The domain 'cycling74.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'cycling74' stretches across 9 characters split between 1 vowel and six consonants, along with two digits. Breaking it apart gives two words: cycling, 74. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cycling74.com/forums/how-to-send-messages-in-and-out-of-poly

Page Load Overview

3.27s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,439 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion29% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

forum community discussion
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18161.35.248.199Clifton, New Jersey, United States
AS14061DigitalOcean, LLC
14192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
14172.64.145.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
14172.64.150.190Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
14104.18.34.38Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
14104.18.37.66Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1415.197.227.42Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
14104.18.42.227Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
14172.64.153.218Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
143.33.192.25Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
14410--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0140919D9A05137130301AB7BA2B7DDF559996786008DDCF8BD80886BCEEEB36532C7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GB0zrTox0v5xBVxbi/ulmsA1eTlhOkQqhehSrh9gh1hNlUQH13rXK5Bo89x7+Bz1:Y/yY1beoKcUwm6WP09i/28PySymuv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:192220:BQQHXVsE0VCiFIMwCIE9xhSoW4ghxPAURIIkWBAoBMFEDCBqhZHugFhQA+IEZT0wARYCGQjMgAIhDiogAaClRCkGYEgSUo4r

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:ffffffffcf8f8f8f
Perceptual Hash:b8c73939c7394919
Difference Hash:321c342c1c1a1a1e
Wavelet Hash:0083bf87878f8f87
Color Hash:#c5ac87

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data