Summary
This website contacted 10 IPs in 2 countries across 10 domains to perform 16 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.
Submitted URL: https://ipfs.io/ipfs/bafkreiadlkqtl4ffwd3yyrdmvcchzgcozddsgyql3frtnkpnuikeqmyltq#[email protected]
The Cisco Umbrella rank of the primary domain is #104,019 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 92%
Phishing login page on IPFS impersonating NortonLifeLock; avoid and report.
Risk Factors
Details
Page Title
Login
Scan Type
public
Language
English
Category
technology software
(36%)Domain Information
The domain name 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. The core label 'ipfs' covers 4 characters containing one vowel alongside 3 consonants. Word splitting yields two words: i, pfs. Average segment length settles at 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 |
|---|---|---|---|
| 7 | 178.63.16.224 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 1 | 104.17.24.14 | United States | AS13335Cloudflare, Inc. |
| 1 | 151.101.130.137 | United States | AS54113Fastly, Inc. |
| 1 | 104.21.73.185 | United States | AS13335Cloudflare, Inc. |
| 1 | 104.17.25.14 | United States | AS13335Cloudflare, Inc. |
| 1 | 104.18.11.207 | United States | AS13335Cloudflare, Inc. |
| 1 | 209.94.90.1 | United States | AS40680Protocol Labs |
| 1 | 151.101.194.137 | United States | AS54113Fastly, Inc. |
| 1 | 142.251.14.95 | United States | AS15169Google LLC |
| 1 | 151.101.65.229 | United States | AS54113Fastly, Inc. |
| 16 | 10 | - | - |
Detected Technologies13
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
Scan history not available
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