ScanMalware.com

Security Scan Report: ipfs.io

Submitted: Oct 11, 2025, 7:39:13 PMCompleted: Oct 11, 2025, 7:40:24 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 and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafkreif6opsh5ijrhr65pytieo3bbdyds4od5bhzvowtc62tewd66p6mpq

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Page shows suspicious IPFS hosting and phishing‑style messaging but lacks credential collection; low overall risk.

Risk Factors
IPFS-hosted content can be used for malicious distribution
Unranked domain may indicate low reputation
Phishing‑like messaging without a clear legitimate source
Safety Factors
Domain age > 10 years (well‑established)
No malicious Indicators of Compromise matches found
No password, credential, or payment forms detected
Domain age information unavailable

Details

Page Title

Webmail

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

technology software

(28%)

Domain Information

The domain name 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io). Its registrable label 'ipfs' stretches across 4 characters split between 1 vowel and 3 consonants. Tokenizing the label suggests two words: i, pfs. Average segment length settles at two characters. 'i' is most common in English usage. Secondary signals appear in Chinese (Pinyin) and Bosnian. Net impression: English phrase.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreif6opsh5ijrhr65pytieo3bbdyds4od5bhzvowtc62tewd66p6mpq

Page Load Overview

17.13s
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
5151.101.2.137San Francisco, California, United States
AS54113FASTLY
0208.91.114.103Coquitlam, British Columbia, Canada
AS40934FORTINET
0192.3.141.250Buffalo, New York, United States
AS36352AS-COLOCROSSING
0209.94.90.1United States
AS40680PROTOCOL
065.9.66.41United States
AS16509AMAZON-02
02600:9000:206f:e400:15:c281:3500:93a1United States
AS16509AMAZON-02
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
02a04:4e42:200::649United States
AS54113FASTLY
065.9.66.13United States
AS16509AMAZON-02
02600:9000:206f:3c00:15:c281:3500:93a1United 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

T188E360C177C2BC8102471B36731BB5E5E12A5DDAB18448CAF20CBCA4F7AD906FAE5572

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dcJkDTEFNMAw4HgyTwdhGpARCJZehtAkhDKo/fkkAF:d+kDGNtFTwdIACJZeAkhDKo/flAF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:150836:DMppoARVpK2QQiASGIo2JhsqOYbkU0QNASREEA52QIYgFDVEo4oQEAhQYwQGDAAQ5oEAZkJ0CxiE8UgsqglZIYsAIGIUZGwW

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:#e07f6c

Other Hashes

Crop Resistant:0c32b23220100000

Scan History

Scan history not available

Unable to load historical scan data