Security Scan Report: ipfs.io

Redirected to:
https://bafkreibds4udhr3fhctq5dbpcio3n3yvfurwwmq7msg3stitlojz5s3ora.ip...
Submitted: Jul 13, 2026, 6:55:48 AMCompleted: Jul 13, 2026, 6:57:18 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 bafkreibds4udhr3fhctq5dbpcio3n3yvfurwwmq7msg3stitlojz5s3ora.ipfs.inbrowser.link and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafkreibds4udhr3fhctq5dbpcio3n3yvfurwwmq7msg3stitlojz5s3ora

Effective URL: https://bafkreibds4udhr3fhctq5dbpcio3n3yvfurwwmq7msg3stitlojz5s3ora.ipfs.inbrowser.link/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: HTTP 410 error page 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

IPFS Service Worker Gateway | HEAD@0a11d6b

Scan Type

public

Language

🇺🇸

English

(48% confidence)

Category

documentation technical

(99%)

Domain Information

Domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. The core label 'ipfs' covers 4 characters split between 1 vowel and 3 consonants. Tokenizing the label suggests two words: i, pfs. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreibds4udhr3fhctq5dbpcio3n3yvfurwwmq7msg3stitlojz5s3ora

Page Load Overview

0.28s
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
2209.94.90.1United States
AS40680Protocol Labs
1209.94.90.2United 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

T13C221ADB2BB1609476834B9DFF7B75490A28D4BB6F22CAC072AE89085FE39C44443C58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:SyYQKEQxpRvxIYk3Uevca3a+xJw349a+2l9PFN1/Ot+lqvYTiYh7ED4:SGKEQx7349099yt+EATiYhO4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10798:UCAiQSeUqQkomkcpgDAIIDWwJAABhQEoTlDjBTBAQFHNRiIOgLKiEAr9ehB0AGKHJoiLiBBO9oBIBgJeKdAVADSPAgNkMABq

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:ffffffe7e7ffffff
Perceptual Hash:e699996666999946
Difference Hash:0008000c0c000800
Wavelet Hash:f0f0f8e0e0f8f0f0
Color Hash:#2d4386

Other Hashes

Crop Resistant:0008000c0c000800

Scan History

Scan history not available

Unable to load historical scan data