Security Scan Report: ipfs.io

Submitted: Nov 16, 2025, 1:11:24 PMCompleted: Nov 16, 2025, 1:14:04 PMpubliccompleted
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Summary

This website contacted 20 IPs in 0 countries across 5 domains to perform 9 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreigfncrwgivowgj2pihgao2vzt6fh3bn6ey2qwk2x4nwqhz6l6pkqi

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating Microsoft on IPFS – high risk

Risk Factors
Brand impersonation of Microsoft on a non‑official, unranked domain
Hosted on IPFS (decentralized, unmoderated content) which is flagged as suspicious
Domain is UNRANKED and lacks reputable ranking
Password prompt shown without a legitimate authentication form
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'ipfs.io' is registered. Count 4 characters in 'ipfs' with one vowel and 3 consonants. Tokenizing the label suggests two words: i, pfs. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreigfncrwgivowgj2pihgao2vzt6fh3bn6ey2qwk2x4nwqhz6l6pkqi

Page Load Overview

46.77s
Total Load Time
9
HTTP Requests
5
Domains
31 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:246 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
913.107.246.45UnknownUnknown
0151.101.2.137UnknownUnknown
0162.43.116.26UnknownUnknown
023.207.210.145UnknownUnknown
0209.94.90.1UnknownUnknown
023.207.210.137UnknownUnknown
013.107.246.44UnknownUnknown
02.21.33.24UnknownUnknown
02a04:4e42:600::649UnknownUnknown
02a02:26f0:3100::210:6ea0UnknownUnknown
920--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15AB3B790691439269037C73671D1BD8B62251433F737AEB7FA362CB8CF996C70A32A45

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SxoBMCgKy+U5KazA/PWrF7qvEAFiQcpm2CkMgpC490qpSQymWqk:4oBgp4490b5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113998:BgpwLgJ1QykqVQlqU5gCB4EEgRAAQqhE0ARBBSUCJAxQMCkRDJpA4jEEgIFtBHIAqABDJKCpdEm04BRE4sZaVqoARKYQhRoA

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:180018181d1f0f9f
Perceptual Hash:9c497326d999cccc
Difference Hash:7161313331357978
Wavelet Hash:191818181f1f1fff
Color Hash:#8ebf40

Other Hashes

Crop Resistant:7161313331357978

Scan History

Scan history not available

Unable to load historical scan data