Security Scan Report: ipfs.io

Redirected to: https://ipfs.io/ipfs/bafkreibbqwvxgo4kiuum3bav3fdrkh5mnfz7xlpufqwxo4qdce5dfrlsdy#{email}

Submitted: Mar 27, 2026, 8:28:41 PMCompleted: Mar 27, 2026, 8:29:59 PMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 2 countries across 9 domains to perform 13 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.

Submitted URL: http://ipfs.io/ipfs/bafkreibbqwvxgo4kiuum3bav3fdrkh5mnfz7xlpufqwxo4qdce5dfrlsdy#{email}

Effective URL: https://ipfs.io/ipfs/bafkreibbqwvxgo4kiuum3bav3fdrkh5mnfz7xlpufqwxo4qdce5dfrlsdy#{email}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

High‑risk phishing page on IPFS collecting credentials; do not submit any information.

Risk Factors
Login form on IPFS-hosted page
Password field present
Potential credential harvesting without known brand verification
Domain age information unavailable

Details

Page Title

Web Mail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(30%)

Domain Information

Domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) while skipping any subdomain. Its registrable label 'ipfs' stretches across 4 characters containing 1 vowel alongside 3 consonants. Segmentation suggests 2 words: i, pfs. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ipfs.io/ipfs/bafkreibbqwvxgo4kiuum3bav3fdrkh5mnfz7xlpufqwxo4qdce5dfrlsdy#{email}

Page Load Overview

0.56s
Total Load Time
13
HTTP Requests
9
Domains
176 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:85 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism30% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
30%
phishing scam
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
435.157.26.135Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1209.94.90.1United States
AS40680Protocol Labs
198.95.243.174Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
1151.101.194.137United States
AS54113Fastly, Inc.
1151.101.130.137United States
AS54113Fastly, Inc.
134.117.59.81Kansas City, Missouri, United States
AS396982Google LLC
1104.17.24.14United States
AS13335Cloudflare, Inc.
1185.199.110.153United States
AS54113Fastly, Inc.
1142.251.140.170United States
AS15169Google LLC
1151.101.66.137United States
AS54113Fastly, Inc.
1310--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164E1856B11F30466767390D827E3B7893A91A01B6401C8B93E9CA3948F46D5999F37DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:HMCVIy+SFkPaIQIQANcUmyXC8LZ8SpUiJjs8GZLFryzMNB:H/SSFecb8HrG/yYT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7354:whAbsqACgWz2EQCCYAMJ4AS4EQCAORQCAaCSMgJBKQpagAxBgziEAGAJiXQIh4EgigARwFCQhwglVMQBQQABzEeEBMkGEhAo

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:ffbd3d1800000000
Perceptual Hash:8ec9982763722767
Difference Hash:717171f147671d59
Wavelet Hash:ffffff7f01000000
Color Hash:#906ce0

Scan History

Scan history not available

Unable to load historical scan data