Security Scan Report: ipfs.io

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Submitted: Oct 14, 2025, 4:59:57 AMCompleted: Oct 14, 2025, 5:01:11 AMpubliccompleted
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Summary

This website contacted 24 IPs in 3 countries across 9 domains to perform 16 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafkreierea6srdturv7mf5i6ytgqmxxuy6a5enyunbhndalmauji4qjesq?eta=x@x-x.com

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page hosted on IPFS collecting credentials – high risk.

Risk Factors
IPFS hosting (decentralized, unmoderated content)
Password collection on a non‑official domain
Generic login page designed to harvest credentials
Social engineering text "click on the checkbox to verify if you're human"
Unranked domain lacking reputable reputation
Domain age information unavailable

Details

Page Title

Sign In.

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

documentation technical

(42%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'ipfs.io' is registered. The second-level label 'ipfs' is 4 characters long split between one vowel and three consonants. Splitting it apart reveals 2 words: i, pfs. Average segment length settles at two characters. Most frequently, 'i' shows up in English. It also appears in Chinese (Pinyin) and Bosnian contexts. Overall, 'ipfs.io' reads as English.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreierea6srdturv7mf5i6ytgqmxxuy6a5enyunbhndalmauji4qjesq?eta=x@x-x.com

Page Load Overview

49.75s
Total Load Time
16
HTTP Requests
9
Domains
108 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
HTML Lang Attribute:en
Text Length:232 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical42% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
42%
phishing scam
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16142.250.185.196United States
AS15169GOOGLE
0151.101.193.229San Francisco, California, United States
AS54113FASTLY
0142.250.185.234United States
AS15169GOOGLE
0151.101.129.229San Francisco, California, United States
AS54113FASTLY
0209.94.90.1United States
AS40680PROTOCOL
023.227.38.65Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
0151.101.65.229San Francisco, California, United States
AS54113FASTLY
0142.250.186.67United States
AS15169GOOGLE
0142.250.186.100United States
AS15169GOOGLE
0185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1624--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11932F862ABF9043D3293D0B930F5B7847E35C10BDF41499A38AD2A954FCAE8648777C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:w7Uq6jfD9jTZLox1JJy6l+KJAM7R0eyi8tmfHrisLiZi4jb2UO4UWOA+:wAqX0eyivvriyiZi4jDUW8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11654:DaiCQIAIw08WAEACAgqh19BwBCgJgBBG6AlIABAQhENwMkNiQANeAYEUIwezXiZkcAvAyAIBAhrAhZUQE4YULEgATARERoeh

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:ffc3c3ffffffffff
Perceptual Hash:b13146cece9b9931
Difference Hash:00161e0000000000
Wavelet Hash:3b03033f0f0f0f0f
Color Hash:#1f2d93

Other Hashes

Crop Resistant:00161e0000000000

Scan History

Scan history not available

Unable to load historical scan data