Security Scan Report: ipfs.io

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Submitted: Dec 5, 2025, 5:17:29 AMCompleted: Dec 5, 2025, 5:18:24 AMpubliccompleted
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Summary

This website contacted 19 IPs in 3 countries across 8 domains to perform 12 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafybeiabhh7uwtdmzmc64acycfbq6v25mqunpxnzaxztnmz57n5jlglmxe/pagt.html

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
IPFS hosting with credential‑harvesting form
Hidden password field
Login form on a non‑official domain
Page title impersonates a webmail service
Domain age information unavailable

Details

Page Title

Webmail Sign-in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(32%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'ipfs.io' is registered while skipping any subdomain. The registrable portion 'ipfs' spans 4 characters holding one vowel versus three consonants. Segmentation suggests two words: i, pfs. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafybeiabhh7uwtdmzmc64acycfbq6v25mqunpxnzaxztnmz57n5jlglmxe/pagt.html

Page Load Overview

0.28s
Total Load Time
12
HTTP Requests
8
Domains
100 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:193 chars
Detector Agreement:100%

Website Classification

Primary Category

other32% confidence
Type: static
Method: ml+structural

All Detected Categories

other
32%
suspicious phishing
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.16.175.226United States
AS13335CLOUDFLARENET
1209.94.90.1United States
AS40680PROTOCOL
1142.250.185.196United States
AS15169GOOGLE
1143.244.56.49Paris, Île-de-France, France
AS60068Datacamp Limited
1142.250.185.163United States
AS15169GOOGLE
1104.26.12.205United States
AS13335CLOUDFLARENET
1216.58.206.74United States
AS15169GOOGLE
0104.26.13.205United States
AS13335CLOUDFLARENET
0172.217.18.4United States
AS15169GOOGLE
0104.16.174.226United States
AS13335CLOUDFLARENET
1219--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D732F762ABF9043D3293D0B931F5A7847E31C10BEE41495A78AD29954FCBE8648777C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:U7Uq6jfD9jTZLox1JJyE4+KJAM7R0eyib2risLiZi4jb2UO4UWOA+:UAZX0eyiariyiZi4jDUW8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11578:kGgGyMFDlAAxjCQBB1CEbCKFcERRANgDEig2SmFUKUKBoSDBAIkEFiCGWgGJxkCgQQIAOJAZJ2ORBYGGBygBqzhBAi6gDvlk

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:ffe7e7ffffffffff
Perceptual Hash:b33389cccccc6633
Difference Hash:000c0c0000000000
Wavelet Hash:3f27273f00000000
Color Hash:#98e06c

Other Hashes

Crop Resistant:000c0c0000000000

Scan History

Scan history not available

Unable to load historical scan data