ScanMalware.com

Security Scan Report: ipfs.io

Bot Protection Detected

This website is protected by CAPTCHA or anti-bot measures that prevented automated scanning.

Submitted: Dec 10, 2025, 3:53:43 AMCompleted: Dec 10, 2025, 3:54:39 AMpubliccompleted
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Summary

This website contacted 34 IPs in 3 countries across 11 domains to perform 29 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafybeielk62toivswjg5inihpku5bxg63ud3lsharmkvoffmr7ppsoclfa/

Effective URL: chrome://new-tab-page/Redirected

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

Impersonates Google on IPFS, flagged as phishing – do not trust

Risk Factors
Brand impersonation of Google on a non‑official IPFS gateway domain
Social engineering detection by Google Safe Browsing
Low reputation hosting (IPFS gateway) and low Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. The registrable portion 'ipfs' spans 4 characters with one vowel and 3 consonants. Breaking it apart gives 2 words: i, pfs. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafybeielk62toivswjg5inihpku5bxg63ud3lsharmkvoffmr7ppsoclfa/

Page Load Overview

5.22s
Total Load Time
29
HTTP Requests
11
Domains
241 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:7 chars
Detector Agreement:0%

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
292.22.50.134Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0184.86.103.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0151.101.129.229San Francisco, California, United States
AS54113FASTLY
0184.86.103.159Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
013.107.213.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
052.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0104.18.54.45United States
AS13335CLOUDFLARENET
057.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0157.240.253.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2934--

Detected Technologies4

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

T15D736AF5D6F96394158FC3D5EB661895AF3E10FB264981A4722C9BF0AF11898CF87C80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7IkPaMxf/N6cw15UxDTti0xhfK6DV/JPsEnOJwNtPDsTSq:ok2AZzxLDV/JJw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76890:RIYMOK2AEEDgQDBaJiMiEAMimGHhtRCDBAgAAE4cEzvCjQCBWDAKswRAgBgOUAJJRKELoJnGwFlciSBaAyEAyAEgqEzGRaCH

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:eee7c7e7fffffffe
Perceptual Hash:f7225588dd88dd89
Difference Hash:080c0e0c00000000
Wavelet Hash:fae3c3e700000000
Color Hash:#1f934e

Other Hashes

Crop Resistant:080c0e0c00000000

Scan History

Scan history not available

Unable to load historical scan data