ScanMalware.com

Security Scan Report: ipfs.io

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Submitted: Oct 23, 2025, 4:25:59 PMCompleted: Oct 23, 2025, 4:26:50 PMpubliccompleted
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Summary

This website contacted 34 IPs in 1 country across 7 domains to perform 14 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafkreihzf57vwjlxmnywaj2qv45gxcxidiuzu3thnx7vspl7dx2rk5kiqe

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating LinkedIn, high risk of credential theft.

Risk Factors
Credential harvesting form hosted on IPFS (high‑risk hosting)
Brand impersonation on an unranked, unrelated domain
Login form collecting email and password without legitimate LinkedIn URL
Domain age information unavailable

Details

Page Title

LinkedIn | Login

Scan Type

public

Language

🇺🇸

English

(67% confidence)

Category

social media network

(98%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'ipfs.io' is registered without a subdomain. Its registrable label 'ipfs' stretches across 4 characters with one vowel and 3 consonants. Segmentation suggests two words: i, pfs. The median word length lands at 2 characters. 'i' most often appears in English. Secondary signals appear in Chinese (Pinyin) and Bosnian. Taken together, it feels English.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreihzf57vwjlxmnywaj2qv45gxcxidiuzu3thnx7vspl7dx2rk5kiqe

Page Load Overview

15.16s
Total Load Time
14
HTTP Requests
7
Domains
286 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:67%
Script Type:Latin
HTML Lang Attribute:en
Text Length:94 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
98%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.67.142.245United States
AS13335CLOUDFLARENET
065.9.66.41United States
AS16509AMAZON-02
0209.94.90.1United States
AS40680PROTOCOL
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
0104.18.10.207United States
AS13335CLOUDFLARENET
0172.64.146.215United States
AS13335CLOUDFLARENET
065.9.66.52United States
AS16509AMAZON-02
065.9.66.13United States
AS16509AMAZON-02
0104.18.11.207United States
AS13335CLOUDFLARENET
02a04:4e42:200::649United States
AS54113FASTLY
1434--

Detected Technologies8

PasswordField
100%
JQueryv3.1.1
100%
Bootstrapv4.0.0
100%
IPFS
40%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
jQuery CDN
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13AF163082CAE893BA34FC8DAB467DB4DA447C02787884543BB9DB1587F9BE53881F171

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2BHschBI6H4YATiTY1SM1+vdnbZxf0V6RGltlyDMTGRGlt7KjWR7:21scnI6HNL+/1+vdn67nIk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7956:KIAZhUFhqAbEgogUUkTRKgpgKOgc5kBlHgIAmhiCjVCgBKgZogOdACaAEE8oWQgAABAiRLAQylWAMQmDQvCFDGUDKaQIIlEE

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:0000183c181c0000
Perceptual Hash:dd62624dc8e6d962
Difference Hash:c54d703232724d59
Wavelet Hash:00a0383c18bcffff
Color Hash:#5391ac

Other Hashes

Crop Resistant:a6a482b2b0e26060,c54d703232724d59

Scan History

Scan history not available

Unable to load historical scan data