Security Scan Report: ipfs.io

Submitted: Oct 11, 2025, 8:00:52 PMCompleted: Oct 11, 2025, 8:01:57 PMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 5 domains to perform 5 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreidrnf7d25fxju4r7nlzg2lghpm2x45uk5mfhy62avtvarxf2zlpue

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; the page appears legitimate.

Safety Factors
Content hosted on IPFS gateway but no credential or payment collection forms
No malicious Indicators of Compromise matches found
No brand impersonation detected
Domain age information unavailable

Details

Page Title

Webmail

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

technology software

(28%)

Domain Information

Domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) without a subdomain. The second-level label 'ipfs' is 4 characters long with 1 vowel and 3 consonants. Word splitting yields two words: i, pfs. Median word length comes out to two characters. 'i' most strongly signals English. Secondary signals appear in Chinese (Pinyin) and Bosnian. Overall, 'ipfs.io' reads as English.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreidrnf7d25fxju4r7nlzg2lghpm2x45uk5mfhy62avtvarxf2zlpue

Page Load Overview

26.41s
Total Load Time
5
HTTP Requests
5
Domains
86 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
HTML Lang Attribute:en
Text Length:167 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software28% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5208.91.114.103Coquitlam, British Columbia, Canada
AS40934FORTINET
0192.3.141.250Buffalo, New York, United States
AS36352AS-COLOCROSSING
0209.94.90.1United States
AS40680PROTOCOL
065.9.66.52United States
AS16509AMAZON-02
0151.101.66.137San Francisco, California, United States
AS54113FASTLY
02600:9000:206f:bc00:15:c281:3500:93a1United States
AS16509AMAZON-02
02a04:4e42::649United States
AS54113FASTLY
02a04:4e42:600::649United States
AS54113FASTLY
02600:9000:206f:e400:15:c281:3500:93a1United States
AS16509AMAZON-02
065.9.66.13United States
AS16509AMAZON-02
524--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180E360C177C2BC8102471B36731BB5E5E12A5DDAB18448CAF20CBCA4F7AD906FAE5572

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:McJkDTEFNMAw4HgyTwdhGpARCJZehtAkhDKo/fkkAF:M+kDGNtFTwdIACJZeAkhDKo/flAF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:150836:rEZigAxVoC2AUmAQGQg0Bp2q+TZAJ4ILAwFEAB4nRCYoFrFEAwJAgggwS4wGCAAAvsACRBF2CtiN8AgcqgFZIKoCIDIQYCwC

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:00181c1c00000000
Perceptual Hash:99996666339999cc
Difference Hash:0c32b23220100000
Wavelet Hash:fcfcfcfc08000000
Color Hash:#aae06c

Other Hashes

Crop Resistant:0c32b23220100000

Scan History

Scan history not available

Unable to load historical scan data