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Security Scan Report: ipfs.io

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Submitted: Dec 4, 2025, 10:23:28 PMCompleted: Dec 4, 2025, 10:24:22 PMpubliccompleted
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Summary

This website contacted 27 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreihlo4h66gnp2mxusunekat54p6olixpb2pdr7ok7ddcgsls3qj7ke#[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%

9
Risk Score

High‑risk phishing page hosted on IPFS, impersonating Google/Apple to harvest credentials.

Risk Factors
IPFS hosting with credential collection form
Brand impersonation on an untrusted domain
Email address in URL fragment used as phishing lure
Hidden password field
Login form on a decentralized, unmoderated gateway
Domain age information unavailable

Details

Page Title

x

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

suspicious phishing

(60%)

Domain Information

Domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) while skipping any subdomain. The second-level label 'ipfs' is 4 characters long holding one vowel versus 3 consonants. Tokenizing the label suggests two words: i, pfs. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreihlo4h66gnp2mxusunekat54p6olixpb2pdr7ok7ddcgsls3qj7ke#x@x.com

Page Load Overview

0.23s
Total Load Time
11
HTTP Requests
8
Domains
173 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:71 chars
Detector Agreement:100%

Website Classification

Primary Category

suspicious phishing60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

suspicious phishing
60%
other
42%
malicious
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3151.101.130.137San Francisco, California, United States
AS54113FASTLY
265.9.175.66United States
AS16509AMAZON-02
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
134.117.59.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
113.216.152.137Ashburn, Virginia, United States
AS14618AMAZON-AES
1104.17.24.14United States
AS13335CLOUDFLARENET
1142.250.185.138United States
AS15169GOOGLE
1209.94.90.1United States
AS40680PROTOCOL
098.87.66.187Ashburn, Virginia, United States
AS14618AMAZON-AES
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
1127--

Detected Technologies6

PasswordField
100%
JQueryv2.2.4
100%
IPFS
40%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137E1846B11F30466767390D827A3B7893A91A01BA401C8B93E9CA3948F46D9999F37DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ebCVIy+SFkPaIQIQANcUmyXC8LZ8SpUiJjeGZLXryzMNB:euSSFecb8HeGRyYT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7371:gAMaILYgoMTGFACLcIMDwDC4G4AGO5ACKIHOIgcQMQlCgEgFQhiFiEAEAejRDzGAgEJBsFiEJQAFVIAIRQABTA0EFuEGCwBg

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:ffbdbd3800000000
Perceptual Hash:8ecb9e336232a5f0
Difference Hash:6969716145752527
Wavelet Hash:fffffffd10000000
Color Hash:#9ac587

Other Hashes

Crop Resistant:6969716145752527,717161a154762426

Scan History

Scan history not available

Unable to load historical scan data