Security Scan Report: ipfs.io

Submitted: Oct 21, 2025, 11:12:10 AMCompleted: Oct 21, 2025, 11:16:18 AMpubliccompleted
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Summary

This website contacted 48 IPs in 2 countries across 10 domains to perform 16 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafybeiac7fyemp36tg4b4gv63d4m5ydeotnjuvz5hb5y5jomehl4lim2ie/bashlog.html

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page on IPFS gateway collecting email and password.

Risk Factors
Credential harvesting form on IPFS-hosted content
Impersonation of a PDF security check to lure users
Untrusted IPFS gateway used as delivery platform
Domain age information unavailable

Details

Page Title

Official Documents

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

other

(45%)

Domain Information

Domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. The registrable portion 'ipfs' spans 4 characters holding 1 vowel versus three consonants. Splitting it apart reveals 2 words: i, pfs. Median word length comes out to 2 characters. The linguistic tilt is English for 'i'. You will also see it in Chinese (Pinyin) and Bosnian contexts. Overall, 'ipfs.io' reads as English.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafybeiac7fyemp36tg4b4gv63d4m5ydeotnjuvz5hb5y5jomehl4lim2ie/bashlog.html

Page Load Overview

10.77s
Total Load Time
16
HTTP Requests
10
Domains
102 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
HTML Lang Attribute:en
Text Length:242 chars
Detector Agreement:100%

Website Classification

Primary Category

other45% confidence
Type: webapp
Method: ml+structural

All Detected Categories

other
45%
suspicious phishing
34%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.11.207United States
AS13335CLOUDFLARENET
3104.17.25.14United States
AS13335CLOUDFLARENET
2142.250.186.42United States
AS15169GOOGLE
2142.250.185.74United States
AS15169GOOGLE
192.123.104.64Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1104.18.40.68United States
AS13335CLOUDFLARENET
1209.94.90.1United States
AS40680PROTOCOL
1151.101.66.137San Francisco, California, United States
AS54113FASTLY
1104.18.0.22United States
AS13335CLOUDFLARENET
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
1648--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BF3E022857031DE47378E95F2CC6E186DD17243DAC94E9A728E7286CF89BC7511E38E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1FtsiixjL98eZ/EgvbTD+AE+FuThmkUNhn01/G:1i98w3DTzohBUNh01e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:169525:zRio0awpfOAGiCCwIAcEERYK4HTDOASAwHmgKJQiUCBnQLJEpIMgCpAEeOQQBdMyQBAgAAhWNAA5RKEZE4jEARADIAEeCgIs

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:006c7d64647c7c7c
Perceptual Hash:803b5d67272d8dac
Difference Hash:f09cb1adadaca4a4
Wavelet Hash:006c5d647c7c7c7c
Color Hash:#931f55

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data