Security Scan Report: ipfs.io

Submitted: Nov 17, 2025, 8:19:47 AMCompleted: Nov 17, 2025, 8:21:06 AMpubliccompleted
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Summary

This website contacted 51 IPs in 0 countries across 11 domains to perform 17 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/QmU3uYBRrjz4btqrW8ixk1qBY4KRy2qX3ayZMJNobWCwfu

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

High‑risk phishing page impersonating Microsoft sign‑in on an IPFS gateway.

Risk Factors
Brand impersonation (Microsoft) on an untrusted, unranked domain
Hosted on IPFS gateway, which is considered high‑risk for phishing
Use of a well‑known brand on a non‑official domain
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(63%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'ipfs.io' is registered with no subdomain. Count 4 characters in 'ipfs' holding 1 vowel versus 3 consonants. Splitting it apart reveals two words: i, pfs. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/QmU3uYBRrjz4btqrW8ixk1qBY4KRy2qX3ayZMJNobWCwfu

Page Load Overview

64.04s
Total Load Time
17
HTTP Requests
11
Domains
209 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:396 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
63%
news media journalism
61%
government public service
37%
blog personal website
35%
entertainment media
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17209.94.90.1UnknownUnknown
0151.101.66.137UnknownUnknown
0104.17.25.14UnknownUnknown
0151.101.194.137UnknownUnknown
0195.80.159.133UnknownUnknown
0216.58.206.74UnknownUnknown
0142.250.186.106UnknownUnknown
02.16.241.198UnknownUnknown
013.107.246.44UnknownUnknown
0142.250.186.138UnknownUnknown
1751--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF72B716B8F740631533D0FD7BAFAA497F5581079608CE6839EC3B94AF85D5A94233C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:lWNSbq37zRiJxmXHUFCM5HiLdDuM41+RuQMlQv6J59VTSYDf3f0qQAA4yIAA25nS:LmXHUFCMsDZMLDakOS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16731:aCPBkAwVFgGFkGSEvKERKEHBoNgDBAEBAUG9VA5AghCKQgSwFAINUNpAcWgoQjkAwCiQoYOSAtBGkDC4CaUDDiPJAGlTC1iS

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:f0f8fc9a992b4d2f
Perceptual Hash:c9cc43662764d733
Difference Hash:e2b0b03251c399d8
Wavelet Hash:f0f8fc988929452f
Color Hash:#53a3ac

Other Hashes

Crop Resistant:e2b0b03251c399d8

Scan History

Scan history not available

Unable to load historical scan data