Security Scan Report: ipfs.io

Submitted: Nov 13, 2025, 1:52:10 AMCompleted: Nov 13, 2025, 1:53:29 AMpubliccompleted
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Summary

This website contacted 30 IPs in 0 countries across 9 domains to perform 12 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafkreiggz7nfmviw5oqml27b2r2qpmu5oyfglwf37vdztlixx4ualonluu

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

High risk phishing page; do not enter credentials

Risk Factors
Password field collecting credentials on untrusted IPFS domain
Unranked IPFS gateway domain with no reputation
Domain age information unavailable

Details

Page Title

Mail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(44%)

Domain Information

You're looking at domain 'ipfs.io' on the British Indian Ocean Territory country-code top-level domain (.io). Its registrable label 'ipfs' stretches across 4 characters holding one vowel versus 3 consonants. Tokenizing the label suggests 2 words: i, pfs. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreiggz7nfmviw5oqml27b2r2qpmu5oyfglwf37vdztlixx4ualonluu

Page Load Overview

57.25s
Total Load Time
12
HTTP Requests
9
Domains
59 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:140 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical44% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
44%
government public service
37%
adult content
32%
news media journalism
31%
technology software
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12185.111.111.157UnknownUnknown
0172.64.147.188UnknownUnknown
0104.18.10.207UnknownUnknown
0142.250.186.74UnknownUnknown
0151.101.66.137UnknownUnknown
0104.17.25.14UnknownUnknown
0209.94.90.1UnknownUnknown
02a04:4e42:200::649UnknownUnknown
0104.18.11.207UnknownUnknown
02606:4700::6812:acfUnknownUnknown
1230--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192E309A0F11031EA3333C55A72D0FD872659A153E56A4EB7F22F25D88F846CA1673F1A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:nPy3Gxw/Vc/QWlJxtQOIuiHlq5mzI4X8OAduFKbv2ctg2Bd8JP7ecQVvH1FLRfiX:nBw/a1fIuiHlq5mN8lDbNmPbDNyHcMg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:146431:GDicO6+ZlnBxJAowVCDeAIRp0aAgjyDPkQWgBCFUKJAAYQUABBgCSAsLE2hIpCjTQOisAjGCCDA4PUN2MQ3huEkkYMxAjAIC

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:e6e6e6e6fefefefe
Perceptual Hash:f7338ccc8c3323cc
Difference Hash:0c0c0c4c00080000
Wavelet Hash:26262626e0f8f2f2
Color Hash:#bf4095

Other Hashes

Crop Resistant:0c0c0c4c00080000

Scan History

Scan history not available

Unable to load historical scan data