Security Scan Report: ipfs.io

Submitted: Dec 7, 2025, 3:45:41 AMCompleted: Dec 7, 2025, 3:46:54 AMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 5 domains to perform 5 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafkreifrn2epr26pgeac2mrskziu35ixajxsn33ga27k4og5q7azq5sphe

The Cisco Umbrella rank of the primary domain is #104,019 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

High‑risk phishing page impersonating a webmail login on an IPFS gateway.

Risk Factors
IPFS‑hosted content on a non‑official domain
Brand impersonation of a webmail service
Threatening/urgent messaging to coerce user action
Domain age information unavailable

Details

Page Title

Webmail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(28%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'ipfs.io' is registered with no subdomain. The second-level label 'ipfs' is 4 characters long containing 1 vowel alongside 3 consonants. Word splitting yields 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/bafkreifrn2epr26pgeac2mrskziu35ixajxsn33ga27k4og5q7azq5sphe

Page Load Overview

0.60s
Total Load Time
5
HTTP Requests
5
Domains
86 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:167 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software28% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1192.3.141.254Buffalo, New York, United States
AS36352AS-COLOCROSSING
113.35.58.96United States
AS16509AMAZON-02
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
1208.91.114.103Coquitlam, British Columbia, Canada
AS40934FORTINET
1209.94.90.1United States
AS40680PROTOCOL
013.35.58.10United States
AS16509AMAZON-02
02a04:4e42:200::649United States
AS54113FASTLY
02600:9000:2359:2800:15:c281:3500:93a1United States
AS16509AMAZON-02
02a04:4e42:400::649United States
AS54113FASTLY
02600:9000:2359:3600:15:c281:3500:93a1United States
AS16509AMAZON-02
524--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EBF384C173C2BC8212475776771BB5EAE52A4CDDB088048AF10CBDA4F7AEA12F9D4179

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5cJrygto9fDFVxwupNW2kJRCsZE6JtX6diUB9TNDyI6a:5++gy9fDFVxwwN7kJRCsZE6JtX6diMTp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:158921:FgWMINCjJwiWiViXCAQADBDQEhMgAQAHBE2BFCJkABGnUkwMZynVEm8iIRgAGQEBMhAGyCHAAQwSGECAxw4wKAK0LgAYLBmR

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:00181c1c00000000
Perceptual Hash:99996666339999cc
Difference Hash:0c32b23220100000
Wavelet Hash:fcfcfcfc08000000
Color Hash:#934c1f

Other Hashes

Crop Resistant:0c32b23220100000

Scan History

Scan history not available

Unable to load historical scan data