Security Scan Report: ipfs.io

Submitted: Dec 4, 2025, 1:02:37 PMCompleted: Dec 4, 2025, 1:03:50 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreidalhqsiwzat2uwefu6enibhvsjhamv25e3tclh22nwbiut7aewta

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a harmless 410 block notice with no security threats.

Safety Factors
No forms collecting sensitive data
Content is a static block message from the IPFS gateway
Domain age information unavailable

Details

Page Title

410 Gone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

The domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. Its registrable label 'ipfs' stretches across 4 characters containing 1 vowel alongside 3 consonants. It segments into two words: i, pfs. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreidalhqsiwzat2uwefu6enibhvsjhamv25e3tclh22nwbiut7aewta

Page Load Overview

0.16s
Total Load Time
2
HTTP Requests
1
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
12602:fea2:2::1United States
AS40680PROTOCOL
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104D197316A603CA5533649A9BF85FB381E5E65D7CE0C2E40F9AC1038CFC85A4A673E5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TJhp3MuQi5Mtjyo3Y5exszQucQ0JF06vSAYR1Ieq7qK:9hp3MuQi5Lolxuifo6vSdJqWK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6486:AagC4gGAERQIgyoQjAALgAwAIsIHEGaUQACRhloAwLFqRgqADBwKAAAAgFgw2qlEgCAeXACHAgFUBIYDGDIpNQYUIhgBFgAd

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:007fffffffffffff
Perceptual Hash:ab235454342f3f56
Difference Hash:0cc14b4bc0000000
Wavelet Hash:00000000ffffffff
Color Hash:#5d3a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data