Security Scan Report: open-exchange.net

Redirected to:
https://openexc.com/
Site favicon
Submitted: Sep 24, 2026, 5:30:10 PMCompleted: Sep 24, 2026, 5:31:08 PMpubliccompleted

This website contacted 40 IPs in 2 countries across 27 domains to perform 92 HTTP transactions. The main domain is openexc.com and was registered 14 years ago.

Submitted URL: https://open-exchange.net

Effective URL:

https://openexc.com/
Redirected

The Cisco Umbrella rank of the primary domain is #324,748 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Corporate OpenExchange site with no forms, no IoCs, no malware and no impersonation; the cross-domain redirect is ordinary. Final domain age is unknown, so scored low-risk rather than fully established.

Safety Factors (5)
No credential, payment, or login forms anywhere on the page
No Indicators of Compromise, YARA malware matches, phishing-kit roster hits, or IDS alerts
Business entity referenced with terms, privacy, about and contact content
Content is coherent, professional corporate material consistent with a real vendor site
Third-party resources are mainstream providers (Google Fonts, jsDelivr, cdnjs, HubSpot, DoubleClick analytics)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain name 'open-exchange.net' uses the network infrastructure generic top-level domain (.net) without a subdomain. The registrable portion 'open-exchange' spans 13 characters holding five vowels versus 7 consonants; it also includes 1 hyphen. It segments into two words: open, exchange. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://open-exchange.net

Page Load Overview

4.01s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:4,324 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business58% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
58%
news/blog
20%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.26.1.130Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
235.173.106.92Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
2172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
244.217.85.96Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
9240--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186A3E8A3A8DD603A665E61D87554B3286756C107CB0D9AD573FCA28CDFC4F9288B330E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lOf6ypyQlA8V0NC6KFpX4gwA8DeBSyTVRLhOELWZlCz94l2/OE33Xp+:Efz1lA8V0I6KFpX4k1pLLWZlO4m33Xp+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104450:GOIIhVAGAeDBAhCAQACWIjUQzRwgAQDQhao4kmZOxQ6kgIxNGCsKJGXo0vUaAFODykghIBBoGTCEBAq1hDCAQSkgAIEML0Qq

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:000000ffffffffff
Perceptual Hash:a02435b5b5b5b535
Difference Hash:9601010000000000
Wavelet Hash:000000010101fdff
Color Hash:#878ec5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data