Security Scan Report: ipfs.io

Submitted: Oct 29, 2025, 12:06:17 PMCompleted: Oct 29, 2025, 12:09:17 PMpubliccompleted
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Summary

This website contacted 25 IPs in 2 countries across 4 domains to perform 5 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreiazq6qeiuglecu4wxgpekf3r5eofefby57lfqd7waw7xis3hpvrvi

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Impersonates Norton on an unranked IPFS domain; likely phishing.

Risk Factors
Brand impersonation (Norton) on unranked domain
IPFS‑hosted content used for credential‑harvesting appearance
Deceptive login prompt shown to users
Domain not associated with the legitimate brand
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

Domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io). The registrable portion 'ipfs' spans 4 characters holding one vowel versus 3 consonants. Segmentation suggests 2 words: i, pfs. Median word length is 2 characters. 'i' most strongly signals English. You will also see it in Chinese (Pinyin) and Bosnian contexts.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreiazq6qeiuglecu4wxgpekf3r5eofefby57lfqd7waw7xis3hpvrvi

Page Load Overview

5.77s
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

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.186.106United States
AS15169GOOGLE
1209.94.90.1United States
AS40680PROTOCOL
1142.250.185.106United States
AS15169GOOGLE
1192.3.141.254Buffalo, New York, United States
AS36352AS-COLOCROSSING
0142.250.184.202United States
AS15169GOOGLE
0142.251.140.170United States
AS15169GOOGLE
02a00:1450:4001:830::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
0142.250.185.202United States
AS15169GOOGLE
02a00:1450:4001:831::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
0216.58.206.74United States
AS15169GOOGLE
525--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14833447EB6C122A361010DD8BEEB450D7EB85101D71C1A247A8D672987A4FBDCEC1F9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:caDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDQjaDU:cPPPPPPPPPPPPPPPPPPPPXzJBnh9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53149:KcwDgFMAAFBAqumIYCTMBoJoScqArjBQjEC+UWNYCAABogGRWBqWKEZAFR5sMAcBI63iIRAAYkIYhgCnAgKggFXLkcF5gIwl

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:#862d49

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data