Security Scan Report: ipfs.io

Submitted: Oct 29, 2025, 9:00:41 AMCompleted: Oct 29, 2025, 9:01:38 AMpubliccompleted
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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/bafkreihbxvhylrhunz4d5p6wdbtswqy2nee5kdhbmk3m4qfs5jvhrmoqcu

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating Norton on IPFS gateway; high risk

Risk Factors
Brand impersonation on non‑official domain
IPFS‑hosted content presenting a login prompt
Unranked domain lacking reputable ranking
Absence of legitimate authentication infrastructure
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

news media journalism

(40%)

Domain Information

Domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io). The core label 'ipfs' covers 4 characters containing 1 vowel alongside three consonants. Breaking it apart gives 2 words: i, pfs. Median word length is two characters. The linguistic tilt is English for 'i'. Secondary signals appear in Chinese (Pinyin) and Bosnian.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreihbxvhylrhunz4d5p6wdbtswqy2nee5kdhbmk3m4qfs5jvhrmoqcu

Page Load Overview

15.13s
Total Load Time
5
HTTP Requests
4
Domains
87 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:199 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism40% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
40%
government public service
36%
adult content
35%
healthcare medical
35%
documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.185.138United States
AS15169GOOGLE
0209.94.90.1United States
AS40680PROTOCOL
0192.3.141.254Buffalo, New York, United States
AS36352AS-COLOCROSSING
0142.250.185.106United States
AS15169GOOGLE
0142.251.140.170United States
AS15169GOOGLE
02a00:1450:4001:81d::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
0142.250.184.234United States
AS15169GOOGLE
02a00:1450:4001:80b::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02a00:1450:4001:81c::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
0142.250.186.42United States
AS15169GOOGLE
524--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C33547EB6C122A361010DD8BEEB450D7EB85101D71C1A247A8D672987A4FBDCEC1F9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:caDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaD/:cPPPPPPPPPPPPPPPPPPPPXzJBnhe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53149:scwwAgJASg4YAihMYCQMFAooLYiRrjcYukAuUAhZAwASAgABlQ4EIESCXYxgqhptCGnWaEEFYWYZYATFgJQMoAQIkOVJIrg1

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:ffc3c7e7e7e7ffff
Perceptual Hash:f7338ccc8a8b8999
Difference Hash:000e0e0a0e0c0000
Wavelet Hash:fac2c0c0c0c0fefe
Color Hash:#40bfae

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data