Summary
This website contacted 24 IPs in 2 countries across 4 domains to perform 5 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.
Submitted URL: https://ipfs.io/ipfs/bafkreidp42tfghrwmilnike2zku4fppfpjg6vya5t3sduciozpz4j5br34
The Cisco Umbrella rank of the primary domain is #104,019 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
IPFS‑hosted page shows no credential collection; low risk but exercise caution.
Risk Factors
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
news media journalism
(40%)Domain Information
You're looking at domain 'ipfs.io' on the British Indian Ocean Territory country-code top-level domain (.io) while skipping any subdomain. Its registrable label 'ipfs' stretches across 4 characters containing one vowel alongside three consonants. It segments into two words: i, pfs. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.
Screenshot
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 |
|---|---|---|---|
| 2 | 142.250.185.170 | United States | AS15169GOOGLE |
| 1 | 142.250.185.106 | United States | AS15169GOOGLE |
| 1 | 192.3.141.254 | Buffalo, New York, United States | AS36352AS-COLOCROSSING |
| 1 | 209.94.90.1 | United States | AS40680PROTOCOL |
| 0 | 142.250.186.42 | United States | AS15169GOOGLE |
| 0 | 142.250.184.202 | United States | AS15169GOOGLE |
| 0 | 2602:fea2:2::1 | United States | AS40680PROTOCOL |
| 0 | 142.250.186.106 | United States | AS15169GOOGLE |
| 0 | 2a00:1450:4001:82a::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 0 | 142.250.181.234 | United States | AS15169GOOGLE |
| 5 | 24 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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