Security Scan Report: ipfs.io

Submitted: Oct 29, 2025, 8:07:55 PMCompleted: Oct 29, 2025, 8:08:35 PMpubliccompleted
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Summary

This website contacted 38 IPs in 2 countries across 12 domains to perform 17 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafybeicttfleikwybnycz6pn6sr3ybegy44qqsgntgpaxzvxcgp7dfpiw4#[email protected]

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing page on IPFS with login form and email‑in‑fragment lure.

Risk Factors
IPFS-hosted content with credential collection form
Email address in URL fragment used as phishing lure
Domain age information unavailable

Details

Page Title

Example - Mail

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

other

(53%)

Domain Information

The domain name 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) without a subdomain. The core label 'ipfs' covers 4 characters with one vowel and 3 consonants. It segments into two words: i, pfs. Median word length is 2 characters. Most frequently, 'i' shows up in English. You will also see it in Chinese (Pinyin) and Bosnian contexts.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafybeicttfleikwybnycz6pn6sr3ybegy44qqsgntgpaxzvxcgp7dfpiw4#test@example.com

Page Load Overview

24.46s
Total Load Time
17
HTTP Requests
12
Domains
278 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
HTML Lang Attribute:???
Text Length:252 chars
Detector Agreement:100%
Language mismatch: Declared as ??? but detected as en

Website Classification

Primary Category

other53% confidence
Type: webapp
Method: ml+structural

All Detected Categories

other
53%
suspicious phishing
31%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.186.42United States
AS15169GOOGLE
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
0142.250.186.106United States
AS15169GOOGLE
0104.17.25.14United States
AS13335CLOUDFLARENET
0104.18.11.207United States
AS13335CLOUDFLARENET
0104.17.24.14United States
AS13335CLOUDFLARENET
013.32.27.14New York, New York, United States
AS16509AMAZON-02
0172.217.18.4United States
AS15169GOOGLE
0209.94.90.1United States
AS40680PROTOCOL
1738--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11474F15BA1B910C11A07F4A926FB66407336F21BD80EDC58FA8E778CCFC524959A27CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HFWxYakFfBJKQe3JdKdHIH9qRmoB0Gw6kmK0dLdMFTeyAyj1gEMSUnfJIfTNyHhN:9BBJKQe3GJxZoiuedEMS18HreH4iq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:350620:AqCJggVAAgHMDaIlAMCMSFC0inlggMAiKBhgIEsqrABWUDiCEgtsTFaDIgoO4eRAs4LIAht4JQZAESEBgAYCXBtESQIRCJFA

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:0018181818000000
Perceptual Hash:9999666666333399
Difference Hash:4cb2b2b2b24c3000
Wavelet Hash:343c3c3c3c240000
Color Hash:#ae87c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data