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Security Scan Report: designforcommons.org

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/90b0be35-9ae4-437c-bc41-d989616cb9d5Domain and IP registration (RDAP)/api/v1/rdap/90b0be35-9ae4-437c-bc41-d989616cb9d5How often this domain was scanned/api/v1/domain/stats/designforcommons.orgScan history for this domain/api/v1/domain/history/designforcommons.org?limit=15
This website contacted 13 IPs in 3 countries across 9 domains to perform 45 HTTP transactions. The main domain is designforcommons.org and was registered 11 years ago.

Submitted URL: https://designforcommons.org

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Established academic commons blog, but its primary domain matches a multi-source content-malware threat feed and its scripts contact BSC testnet blockchain RPC nodes — anomalous for the content. Treat as high risk.

Risk Factors (3)
Content-malware type Indicator of Compromise matching the primary domain, corroborated by two independent feeds
Nine cross-origin blockchain RPC connections including BSC testnet data-seed nodes embedded in an academic blog
Domain not ranked in Cisco Umbrella top 1M despite 10-year age
Domain age information unavailable

Details

Page Title

| DesignForCommons

Scan Type

public

Domain Name Analysis

Domain 'designforcommons.org' uses the non-profit oriented generic top-level domain (.org). Count 16 characters in 'designforcommons' containing 5 vowels alongside 11 consonants. Tokenizing the label suggests 3 words: design, for, commons. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://designforcommons.org

Page Load Overview

1.72s
Total Load Time
5.5 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:60,266 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software43% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
43%
documentation technical
41%
news media journalism
38%
blog personal website
37%
cryptocurrency blockchain
35%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
986.107.36.94Italy
AS52030Server Plan S.r.l.
3104.20.33.75Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3172.66.174.217Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
335.71.129.99Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33.33.196.84Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
315.197.152.159Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.215.53.55Washington, District of Columbia, United States
AS15830Equinix (EMEA) Acquisition Enterprises B.V.
3104.20.24.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.146.203Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4513--

Detected Technologies10

X-UA-Compatible
100%
WordPressv7.1.2
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Google-Tag-Manager
100%
Google-AnalyticsvUniversal
100%
PHP
50%
MySQL
50%
Google Analytics
35%
Elfsight
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A644C2BE7B2317932134305F6D1B358927DC153FA4259E5BDBAE228C7C26A10277B4E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NpQbkMQi4kQvHwqpufxkx+ogVnLYJkWgZylUfnXIGIFbYZFoX17UWZM:NpQf4kQvHAaxTgxRWgZylUfV1v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:325345:L7AZyEkABQLAxFvK9MCgUAEANZlgHQQSp5CAA0TwARVMQAEx4IqQQGdNQsHCHBkEtKiAgNxA9EtAE4DTQIoFgKmznOkRAWEC

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:ff0101010101030f
Perceptual Hash:aade9dd49ce488c1
Difference Hash:2323430313934713
Wavelet Hash:ff030387015b03ff
Color Hash:#d2b979

Other Hashes

Crop Resistant:2323430313934713

Scan History

Scan history not available

Unable to load historical scan data