Security Scan Report: ipfs.io

Redirected to:
https://bafkreicvkjehvr3meesnxvydzjecjffol6tams7df4dojsnns2omqdxhgy.ip...
Submitted: Jun 27, 2026, 7:44:03 AMCompleted: Jun 27, 2026, 7:45:19 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 bafkreicvkjehvr3meesnxvydzjecjffol6tams7df4dojsnns2omqdxhgy.ipfs.inbrowser.link and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafkreicvkjehvr3meesnxvydzjecjffol6tams7df4dojsnns2omqdxhgy#[[-Email-]]

Effective URL: https://bafkreicvkjehvr3meesnxvydzjecjffol6tams7df4dojsnns2omqdxhgy.ipfs.inbrowser.link/#[[-Email-]]Redirected

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The IPFS gateway page returns a 410 Gone error, contains no forms or malicious code, and shows no evidence of phishing or malware.

Safety Factors
Domain age 4424 days (well‑established)
No forms or data collection elements
No malicious indicators from any source
Domain age information unavailable

Details

Page Title

410 Gone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'ipfs.io' is registered and has no subdomain. The second-level label 'ipfs' is 4 characters long holding 1 vowel versus 3 consonants. Tokenizing the label suggests 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/bafkreicvkjehvr3meesnxvydzjecjffol6tams7df4dojsnns2omqdxhgy#[[-Email-]]

Page Load Overview

0.36s
Total Load Time
3
HTTP Requests
2
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:329 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2209.94.90.1United States
AS40680Protocol Labs
1209.94.90.3United 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

T1E9D186316A603CA5533748A9BE95EB381E5E75D7CE0C2E40F9AC0038CFC85A0A673E5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TJhp3MuQi5Mtjyo3Y5exszQucQ0JF06vSAYR1Ieq720EhSa:9hp3MuQi5Lolxuifo6vSdJqKYa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6715:AagC4wGAERQIiyoQjAALgAwAIsIHEGaURgCRhhoAwLFqRgqADBwKAAAggFgx2uhEhCAeXACHAgFUBIYDGDIpNRYUIhgBFgAd

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:#6c9ee0

Other Hashes

Scan History

Scan history not available

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