Security Scan Report: ipfs.io

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Oct 2, 2026, 7:52:47 PMCompleted: Oct 2, 2026, 7:54:34 PMpubliccompleted

This website contacted 3 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is ipfs.io and was registered 17 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

Low Risk

Confidence: 50%

2
Risk Score

Bot-protection wall blocked capture, so content is unverified. No Indicators of Compromise, malware or phishing signals found; only P2P-domain IDS notes for the IPFS gateway. Insufficient data rather than proven benign.

Risk Factors (3)
Page content could not be evaluated — a bot-protection wall hid the actual destination content, so payload, forms and behaviour are unverified
IPFS gateway hosting is decentralized and unmoderated; a hash-addressed page can be published at any time and the apex domain age does not describe this content
Inline scripts contain encoding/decoding functions with 359 DOM and 56 network API references (unverified against a real page)
Safety Factors (5)
No Indicators of Compromise matched the page or its loaded resources
No JavaScript malware (YARA) patterns and no high-precision native YARA hits
No known malicious kits in the kit roster
No cross-origin credential exfiltration detected and no third-party script hosts
ML classifier places the page in 'technology software' (75%) rather than a malicious category
Domain age information unavailable

Details

Page Title

Just a moment...other network

Scan Type

public

Domain Name Analysis

Within the British Indian Ocean Territory country-code top-level domain (.io), 'ipfs.io' is registered. The registrable portion 'ipfs' spans 4 characters with one vowel and three consonants. It segments into two words: i, pfs. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreibyljmt5scyuoccu3ucintoqyfi33tvk6gvwng4pniq3pnoahrva4

Page Load Overview

75.07s
Total Load Time
940 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:368 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3209.94.90.1United States
AS40680Protocol Labs
3104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
93--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3D2D977E704221B29238E9F7AD0FA842135D2C1AE15A3B5F5A275B44BD949237B33C2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:komYTSWdSZBTx3T/VcxkO2IknB7xIEDYyVU6i:mhc4xIUYypi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28773:AEIFlJBIlBeDUkAbBAWg6EDACwAFIwAQAwBEKOcEAlKSWExGBQCgNLBc4hlZogAjwKqLUHFGcYCkKikh0SgtJKXFBwgKQJAB

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:dfc3c3ffffffffe7
Perceptual Hash:b03830cec6cfc7c5
Difference Hash:209e16100000000c
Wavelet Hash:fcc0ccfc3c3c3c00
Color Hash:#ac539c

Other Hashes

Crop Resistant:209e16100000000c

Scan History

Scan history not available

Unable to load historical scan data