Security Scan Report: ipfs.io

Submitted: Oct 11, 2025, 7:39:13 PMCompleted: Oct 11, 2025, 7:40:24 PMpubliccompleted

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 12 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

Domain Name Analysis

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
143 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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