Security Scan Report: ipfs.io

Submitted: Oct 30, 2025, 5:20:48 AMCompleted: Oct 30, 2025, 5:21:51 AMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 5 domains to perform 7 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreibqpypr7u6vbvxrixyoik3wolg36mnkizj67nuxjzs6qqivxfrave

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Suspicious IPFS page without forms; unlikely to be malicious but should be treated cautiously.

Risk Factors
IPFS-hosted content (unmoderated and high‑risk hosting environment)
Impersonates a generic webmail login page on an unranked domain
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Webmail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'ipfs.io' on the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. Count 4 characters in 'ipfs' containing one vowel alongside 3 consonants. Breaking it apart gives 2 words: i, pfs. Expect two characters per word on average. 'i' most strongly signals English. It also appears in Chinese (Pinyin) and Bosnian contexts.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreibqpypr7u6vbvxrixyoik3wolg36mnkizj67nuxjzs6qqivxfrave

Page Load Overview

25.97s
Total Load Time
7
HTTP Requests
5
Domains
32 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

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7209.94.90.1United States
AS40680PROTOCOL
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
0208.91.114.103Coquitlam, British Columbia, Canada
AS40934FORTINET
018.172.112.42United States
AS16509AMAZON-02
0192.3.141.254Buffalo, New York, United States
AS36352AS-COLOCROSSING
02602:fea2:2::1United States
AS40680PROTOCOL
02600:9000:2761:c600:15:c281:3500:93a1United States
AS16509AMAZON-02
02a04:4e42:600::649United States
AS54113FASTLY
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
02a04:4e42::649United States
AS54113FASTLY
724--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186F35FC177C2BC8102471B767327B2E9E52A489D7488488EF14DFD94F7AE912FAE1670

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kcJovbpQkuZDwPglsfRDDDlYPe2zNcpcPaVyU+pISpzqGYq9MFXypD3pBW3Ba:k+Gblu1wYlIRDDDlYPe2zNcpcPaV3NEb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:158923:iMkCFAiUI9AEBGmQgTAEVFOTQjI0IV0wMJQAADJFNTVAiwQQSEoWKCmJo7iAGdapQESIeIGAjBLTBcAYKEboAQjCJIJBECim

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:#d28279

Other Hashes

Crop Resistant:0c32b23220100000

Scan History

Scan history not available

Unable to load historical scan data