Summary
API
This website contacted 34 IPs in 3 countries across 11 domains to perform 29 HTTP transactions. The main domain is ipfs.io.
Submitted URL: https://ipfs.io/ipfs/bafybeielk62toivswjg5inihpku5bxg63ud3lsharmkvoffmr7ppsoclfa/
The Cisco Umbrella rank of the primary domain is #104,019 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 92%
Impersonates Google on IPFS, flagged as phishing – do not trust
Risk Factors (3)
Details
Page Title
N/A
Scan Type
public
Domain Name Analysis
The domain name 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. The registrable portion 'ipfs' spans 4 characters with one vowel and 3 consonants. Breaking it apart gives 2 words: i, pfs. The median word length lands at two characters. No strong language cues emerged from the frequency lists.
Screenshot
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Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 29 | 2.22.50.134 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 184.86.103.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 184.86.103.159 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 63.176.8.218 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 0 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 104.18.54.45 | United States | AS13335CLOUDFLARENET |
| 0 | 57.144.244.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 0 | 157.240.253.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 29 | 34 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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