ScanMalware.com

Security Scan Report: ipfs.io

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Submitted: Dec 9, 2025, 2:07:13 AMCompleted: Dec 9, 2025, 2:07:42 AMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 8 domains to perform 13 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreicbfraar7276wutlutlrolpji5uy23yrpqr3jdlpkifhafxremwdu?eta=

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
Credential harvesting form hosted on IPFS (high‑risk hosting)
Hidden password field indicating attempt to conceal input
Suspicious OCR text urging users to click a checkbox to verify humanity
Lack of domain age or reputation (unranked, no trust signals)
Domain age information unavailable

Details

Page Title

Sign In.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(43%)

Domain Information

You're looking at domain 'ipfs.io' on the British Indian Ocean Territory country-code top-level domain (.io) without a subdomain. The second-level label 'ipfs' is 4 characters long split between one vowel and 3 consonants. Segmentation suggests 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/bafkreicbfraar7276wutlutlrolpji5uy23yrpqr3jdlpkifhafxremwdu?eta=

Page Load Overview

3.99s
Total Load Time
13
HTTP Requests
8
Domains
108 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:233 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical43% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
43%
phishing scam
30%
technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13151.101.193.229San Francisco, California, United States
AS54113FASTLY
0209.94.90.1United States
AS40680PROTOCOL
0104.26.13.205United States
AS13335CLOUDFLARENET
0142.250.185.131United States
AS15169GOOGLE
0151.101.1.229San Francisco, California, United States
AS54113FASTLY
0151.101.129.229San Francisco, California, United States
AS54113FASTLY
0185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
0172.217.23.106United States
AS15169GOOGLE
0142.250.185.100United States
AS15169GOOGLE
0142.250.186.164United States
AS15169GOOGLE
1322--

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

T1B032F862ABF9043D3293D0B930F5B7847E31C10BDF41499A38AD2A954FCAE8648777C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:w7Uq6jfD9jTZLox1JJywN+KJAM7R0eyi8tmfnrisLiZi4jb2UO4UWOA+:wAIX0eyivvriyiZi4jDUW8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11651:qIkCSIXL2wkUcBAQmhhjc4HQjB4DkBAEQCCIAZAAAMIxsoBghYMuAYANBYUQHiTEdUFA1OIsEFMSpZAS1acSOO0kqDQjBuQA

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:ffc3c3ffffffffff
Perceptual Hash:b13146cece9b9931
Difference Hash:00161e0000000000
Wavelet Hash:3b03033f0f0f0f0f
Color Hash:#ac5397

Other Hashes

Crop Resistant:00161e0000000000

Scan History

Scan history not available

Unable to load historical scan data