Security Scan Report: ipfs.io

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Submitted: Jul 3, 2026, 5:51:58 AMCompleted: Jul 3, 2026, 5:53:54 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 ipfs.io and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafkreibyljmt5scyuoccu3ucintoqyfi33tvk6gvwng4pniq3pnoahrva4

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

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

High risk due to primary domain IoC match; no credential forms but the domain is flagged as a known attacker.

Risk Factors
Primary domain IoC match
Low ranking for a brand‑related domain
Hosted on IPFS (decentralized, unmoderated content)
Safety Factors
Self‑branding aligns with the domain
No forms or credential collection
No malicious JavaScript or network IDS alerts
Long domain age indicates established registration
Established domain (4430 days old) with no strong malicious indicators — risk clamped from 7 to 5
Domain age information unavailable

Details

Page Title

410 Gone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

The domain '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 split between one vowel and 3 consonants. Splitting it apart reveals 2 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/bafkreibyljmt5scyuoccu3ucintoqyfi33tvk6gvwng4pniq3pnoahrva4

Page Load Overview

8.14s
Total Load Time
1
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:717 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
57%
adult content
49%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1209.94.90.1United States
AS40680Protocol Labs
0209.94.90.2United States
AS40680Protocol Labs
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DFD196316A607CA5533748A9BE99EB381E5E75D7CE0C2D40F9AC503CCFC85A0A663E4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TJhp3MuQi5Mtjyo3Y5exszQucQ0JF06vSAYR1Ieq72oSa:9hp3MuQi5Lolxuifo6vSdJqKha

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6715:AagC4wGAERQIgyoQjAALgAwEIsIHEmaURgCRhhoAwPFuRgqADBwKAAAggFgx2uhEgSAeXACHAgFUBIYDGDIpNQYUIhgBFgAd

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:#862d46

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data