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Security Scan Report: ipfs.io

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Submitted: Dec 5, 2025, 9:21:12 PMCompleted: Dec 5, 2025, 9:22:10 PMpubliccompleted
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Summary

This website contacted 29 IPs in 3 countries across 9 domains to perform 13 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreiap4tqoy3bnresnfmptmenfwbmgxmddto6ltll7kccsryvlvqeeyq/#{email}

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

High‑risk phishing page hosted on IPFS; do not enter credentials.

Risk Factors
Login form on IPFS gateway
Collection of email and password on untrusted domain
Low reputation domain (IPFS gateway, not indexed)
Phishing lure via URL fragment containing email address
Domain age information unavailable

Details

Page Title

Web Mail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

suspicious phishing

(57%)

Domain Information

The domain name 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. Its registrable label 'ipfs' stretches across 4 characters with one vowel and three consonants. Breaking it apart gives 2 words: i, pfs. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreiap4tqoy3bnresnfmptmenfwbmgxmddto6ltll7kccsryvlvqeeyq/#{email}

Page Load Overview

0.26s
Total Load Time
13
HTTP Requests
9
Domains
202 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:85 chars
Detector Agreement:100%

Website Classification

Primary Category

suspicious phishing57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

suspicious phishing
57%
malicious
42%
other
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3151.101.194.137San Francisco, California, United States
AS54113FASTLY
2142.250.186.138United States
AS15169GOOGLE
135.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1209.94.90.1United States
AS40680PROTOCOL
134.117.59.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1104.17.24.14United States
AS13335CLOUDFLARENET
1143.244.60.196Chicago, Illinois, United States
AS60068Datacamp Limited
165.9.175.79United States
AS16509AMAZON-02
198.87.66.187Ashburn, Virginia, United States
AS14618AMAZON-AES
013.216.152.137Ashburn, Virginia, United States
AS14618AMAZON-AES
1329--

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

T15153CBE83968506BBD11DEBFBAD1C14BA51CFBF3A88D4154315C7E45ABC10B86AE07B0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:w7B6IbURk9quJ0UbsJPvggkOLr+7oM4IbTI/+h7WxPKSxqXQ9cVFr/4azW2JG2Pm:wlvvG+SI18vA4zT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62685:rAAoSAIJYEaVcBRQaHJ1gg4hULDEBNVCgiZwAMIyFECGQKgLPlHQCAAgMQFKhAMwWVHoCArCKRAAUYgEUsDMYwC4INDk6BYd

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:bd3d3c3c00000000
Perceptual Hash:88cdcd3632773271
Difference Hash:7171717195210101
Wavelet Hash:ffffff7f01000000
Color Hash:#1f9344

Other Hashes

Crop Resistant:b3b3b3b3b3b3b3b3,88888ecaf28055d0,7171717197210101

Scan History

Scan history not available

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