Security Scan Report: ipfs.io

Submitted: Dec 4, 2025, 12:02:28 PMCompleted: Dec 4, 2025, 12:03:41 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/bafkreieai4fqafif6l4gj34cw7cea2gpamdq5t3akkl5lc7ydt5y5yspu4

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 legitimate 410 error page with no security threats.

Safety Factors
Standard error response indicating blocked content
Official IPFS gateway domain
Domain age information unavailable

Details

Page Title

410 Gone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

The domain name 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. The second-level label 'ipfs' is 4 characters long with one vowel and three consonants. Segmentation 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/bafkreieai4fqafif6l4gj34cw7cea2gpamdq5t3akkl5lc7ydt5y5yspu4

Page Load Overview

0.26s
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:#3ad22d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data