Security Scan Report: ipfs.io

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Submitted: Dec 10, 2025, 7:00:30 AMCompleted: Dec 10, 2025, 7:01:03 AMpubliccompleted
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Summary

This website contacted 28 IPs in 3 countries across 9 domains to perform 17 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafybeifaqqecpwzwu45hqlinjrg2l37tkvdkzreopne5m76owfodlvtt2q

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

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Page is a high‑risk phishing site impersonating Microsoft login.

Risk Factors
IPFS hosting with credential‑harvesting form
Password field without accompanying username field
Brand impersonation of Microsoft on an untrusted domain
Google Safe Browsing social engineering detection
Hidden password field in page source
Domain age information unavailable

Details

Page Title

Microsoft | Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(30%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'ipfs.io' is registered without a subdomain. The core label 'ipfs' covers 4 characters holding one vowel versus 3 consonants. It segments into 2 words: i, pfs. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafybeifaqqecpwzwu45hqlinjrg2l37tkvdkzreopne5m76owfodlvtt2q

Page Load Overview

16.20s
Total Load Time
17
HTTP Requests
9
Domains
268 KB
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:405 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software30% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17172.67.142.245United States
AS13335CLOUDFLARENET
0104.18.11.207United States
AS13335CLOUDFLARENET
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
013.107.246.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
0104.17.25.14United States
AS13335CLOUDFLARENET
0185.93.3.244Madrid, Madrid, Spain
AS60068Datacamp Limited
0142.250.185.202United States
AS15169GOOGLE
0209.94.90.1United States
AS40680PROTOCOL
0151.101.66.137San Francisco, California, United States
AS54113FASTLY
1728--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D074F92FE8F215991C03547817EA6BA17B79C003C619FDBA7D8E7354CF8E6848D62B48

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:5SXwuSj+Yrj0YGuZxTm2emefZi0VgW4oKfiCKaNBajRVf:G0y2ehxi0yW4GCKY8Vf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:355045:HAYPs2Noxl00KIJwnRBgAFtiCOkGmHTBa2IMFMKAQkJQgjRJQWAaAIDMETBQQQAjndGT1AgA8jgMD0VHgIi5QEAAQCIVwgC2

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:f8fcfe9afbfb5f00
Perceptual Hash:d9dc03eb27ac6491
Difference Hash:60b0b03253339bd9
Wavelet Hash:f8f85c90fbb94d00
Color Hash:#2d8684

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data