Security Scan Report: ipfs.io

Submitted: Feb 20, 2026, 5:31:03 AMCompleted: Feb 20, 2026, 5:32:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ipfs.io and was registered NaN years ago.

Submitted URL: https://ipfs.io/ipfs/bafybeibpi66pc3ih7st2ldbn2izn2c5qftvejq5aj6vtql2kbu2rgxijdi/webmail.html#{email}

The Cisco Umbrella rank of the primary domain is #104,019 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; page is a 410 Gone error.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Error page (410 Gone) indicates no active content
Established domain age reduces suspicion
Domain age information unavailable

Details

Page Title

410 Gone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

The domain 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) while skipping any subdomain. The core label 'ipfs' covers 4 characters with 1 vowel and 3 consonants. It segments into 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/bafybeibpi66pc3ih7st2ldbn2izn2c5qftvejq5aj6vtql2kbu2rgxijdi/webmail.html#{email}

Page Load Overview

3.03s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:329 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2209.94.90.1United States
AS40680Protocol Labs
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120D1873166603CA5533649A9BF85FB381E5E65D7CE0C2E41F9AC1038CFC85A4A673E5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nJhp3MuQi5Mtjyo3Y5exszQucQ0JF06vSAYR1Ieq7qK:Jhp3MuQi5Lolxuifo6vSdJqWK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6471:AGCAGAAtYSqQQTKFQBAMApBhCVCigUQQACRgALgEQAQDQ4CmhqAkBTAJGQrGBYKBIDgJAOQWEAAgAREAWMJwAIFgKoEoCCAg

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:00ffffffffffffff
Perceptual Hash:ad292b2b6a4a6a6e
Difference Hash:9300000000000000
Wavelet Hash:0000f3f3f0f0f0f0
Color Hash:#ac9a53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data