Security Scan Report: ipfs.io

Redirected to:
https://bafybeieh2bgrfoxm5bpxy7jmcwcwsvg5wxzad2ydx3x25hmj3ebfzcdz2a.ip...
Submitted: Jul 18, 2026, 9:20:31 AMCompleted: Jul 18, 2026, 9:22:06 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is bafybeieh2bgrfoxm5bpxy7jmcwcwsvg5wxzad2ydx3x25hmj3ebfzcdz2a.ipfs.inbrowser.link and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafybeieh2bgrfoxm5bpxy7jmcwcwsvg5wxzad2ydx3x25hmj3ebfzcdz2a/GM.html#[email protected]

Effective URL: https://bafybeieh2bgrfoxm5bpxy7jmcwcwsvg5wxzad2ydx3x25hmj3ebfzcdz2a.ipfs.inbrowser.link/GM.html#[email protected]Redirected

The Cisco Umbrella rank of the primary domain is #104,019 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: '410 Gone' with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

410 Gone

Scan Type

public

Language

🇺🇸

English

(48% confidence)

Category

documentation technical

(99%)

Domain Information

You're looking at domain 'ipfs.io' on the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. Its registrable label 'ipfs' stretches across 4 characters containing 1 vowel alongside 3 consonants. It segments into 2 words: i, pfs. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafybeieh2bgrfoxm5bpxy7jmcwcwsvg5wxzad2ydx3x25hmj3ebfzcdz2a/GM.html#service@estelle.vn

Page Load Overview

0.30s
Total Load Time
3
HTTP Requests
2
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:48%
Script Type:Latin
Text Length:76 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical99% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
99%
technology software
67%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2209.94.90.2United States
AS40680Protocol Labs
1209.94.90.1United States
AS40680Protocol Labs
32--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8D196316A603CE5533A48A9BE85FB381E5E75D7CE0C2D40F9AC1438CFC85A4A663E5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TJhp3MuQi5Mtjyo3Y5exszQucQ0JF06vSAYR1Ieq72JSa:9hp3MuQi5Lolxuifo6vSdJqK8a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6715:AagC4wGAERQIgyoQjQALgAwAIsIHEGaURkCRhhoAwLFqRgqADBwKAAEggFgx2uhEgCAeXACHAgFUBIYDGDIpNQYcIhgBFgAd

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:00ffffffffffffff
Perceptual Hash:ad292b2b6a4a6a6e
Difference Hash:b300000000000000
Wavelet Hash:0000fffff0f0f0f0
Color Hash:#79a1d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data