Security Scan Report: ipfs.io

Submitted: Nov 6, 2025, 3:44:27 AMCompleted: Nov 6, 2025, 3:45:13 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/bafkreieccjks7r6pvye6mk5euseah7y7syed4nrxw2zz3nteohwng2gxdu

AI Security Verdict

Moderate Risk

Confidence: 68%

4
Risk Score

Page imitates a webmail login on an IPFS gateway; likely phishing but no data collection observed.

Risk Factors
Brand impersonation on an unusual IPFS domain
Use of IPFS hosting for a login‑style page
Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

Webmail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. Count 4 characters in 'ipfs' containing 1 vowel alongside 3 consonants. Segmentation suggests two words: i, pfs. The median word length lands at 2 characters. Most frequently, 'i' shows up in English. You may catch it in Chinese (Pinyin) and Bosnian as well.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreieccjks7r6pvye6mk5euseah7y7syed4nrxw2zz3nteohwng2gxdu

Page Load Overview

5.93s
Total Load Time
5
HTTP Requests
5
Domains
85 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
5151.101.2.137San Francisco, California, United States
AS54113FASTLY
0208.91.114.103Coquitlam, British Columbia, Canada
AS40934FORTINET
013.35.58.96United States
AS16509AMAZON-02
0192.3.141.254Buffalo, New York, United States
AS36352AS-COLOCROSSING
0209.94.90.1United States
AS40680PROTOCOL
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
013.35.58.104United States
AS16509AMAZON-02
02600:9000:2359:2000:15:c281:3500:93a1United States
AS16509AMAZON-02
02600:9000:2359:f200:15:c281:3500:93a1United States
AS16509AMAZON-02
02600:9000:2359:7800:15: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

T16FE361C177C2BC4112874B73371AB6E5E62D4DA97589488FF10DBCA8F7A9902F9D0A70

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JcJZii4vwqQQOSDb6xah4ZcGz13iPFSeajthtc:J+ZTFqfOo8auZcI13Xeajt0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:155123:TfCkXUAQCoNgECYDDAoCDaUDBwEQTYBcZgHuEhQ1BMEB6ApRJEYIOWq2/hSQCDAQBFMtAAi5AJOgafKAJEQEgqAEBxiWABBK

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:#87b2c5

Other Hashes

Crop Resistant:0c32b23220100000

Scan History

Scan history not available

Unable to load historical scan data