Security Scan Report: ipfs.io

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Submitted: Dec 5, 2025, 7:48:26 PMCompleted: Dec 5, 2025, 7:49:48 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 6 domains to perform 8 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreigndhqmidlj2vhc2rrhicd6aujrad4q72kai5d3tm2yjs6asxobji/#[email protected]

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

Phishing page hosted on IPFS collecting credentials; high risk.

Risk Factors
Credential harvesting on IPFS-hosted content
External form submission to unrelated domain
Brand impersonation of Google/Apple on low‑ranking domain
Email address in URL fragment used for phishing lure
Domain age information unavailable

Details

Page Title

x

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(61%)

Domain Information

You're looking at domain 'ipfs.io' on the British Indian Ocean Territory country-code top-level domain (.io) without a subdomain. Count 4 characters in 'ipfs' split between 1 vowel and 3 consonants. Breaking it apart gives 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/bafkreigndhqmidlj2vhc2rrhicd6aujrad4q72kai5d3tm2yjs6asxobji/#x@x.com

Page Load Overview

0.81s
Total Load Time
8
HTTP Requests
6
Domains
29 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:191 chars
Detector Agreement:100%

Website Classification

Primary Category

other61% confidence
Type: webapp
Method: ml+structural

All Detected Categories

other
61%
suspicious phishing
41%
malicious
31%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2209.94.90.1United States
AS40680PROTOCOL
165.9.175.66United States
AS16509AMAZON-02
1169.150.236.100Chicago, Illinois, United States
AS60068Datacamp Limited
1142.250.186.170United States
AS15169GOOGLE
198.87.66.187Ashburn, Virginia, United States
AS14618AMAZON-AES
1104.18.11.207United States
AS13335CLOUDFLARENET
0216.58.206.42United States
AS15169GOOGLE
0104.18.10.207United States
AS13335CLOUDFLARENET
065.9.175.49United States
AS16509AMAZON-02
013.216.152.137Ashburn, Virginia, United States
AS14618AMAZON-AES
816--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165426241A5FB0C6B202394E837AFC741236C54638708CF2D79BD66949F98B65E533B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:iuHWXTyHAOk4AwCZHHStqi4OBy4hfl41CU0uNr2lsbSOE6E6az:iMZhClSMi4Opts2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12928:UoREAggBQXEgSlCBmlIAxzGhNEKghYXQAAJaO4TADSBBwEQBAAo0XSM2EwgEx5gIRAX4ACCIAqEISSVQwhCCQBCCDhWFAMwj

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:ffffe7e3e0879f9b
Perceptual Hash:b6c39c97c8b627c0
Difference Hash:304c4d4d4d4e3e33
Wavelet Hash:fcfce5e040009090
Color Hash:#1f9344

Scan History

Scan history not available

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