Security Scan Report: ipfs.io

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Submitted: Oct 28, 2025, 2:27:26 PMCompleted: Oct 28, 2025, 2:28:14 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 5 domains to perform 7 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://ipfs.io/ipfs/bafkreig5od2rtbhth3e7b7pcvhaw374air6s6vvkwasdr2j5o5oopwxsyu#[email protected]

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page hosted on IPFS, high risk of credential theft.

Risk Factors
IPFS hosting with credential‑harvesting UI
Email address in URL fragment
Brand impersonation on a non‑official, unranked domain
Absence of legitimate authentication infrastructure
Domain age information unavailable

Details

Page Title

Shared Document

Scan Type

public

Language

🇺🇸

English

(67% confidence)

Category

government

(95%)

Domain Information

The domain name 'ipfs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. Count 4 characters in 'ipfs' holding one vowel versus 3 consonants. It segments into two words: i, pfs. The median word length lands at two characters. 'i' is most common in English usage. Usage also turns up in Chinese (Pinyin) and Bosnian contexts.

Screenshot

Security scan screenshot of https://ipfs.io/ipfs/bafkreig5od2rtbhth3e7b7pcvhaw374air6s6vvkwasdr2j5o5oopwxsyu#tips@fbi.gov

Page Load Overview

8.70s
Total Load Time
7
HTTP Requests
5
Domains
60 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
Text Length:146 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: webapp
Method: structural

All Detected Categories

government
95%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7209.94.90.1United States
AS40680PROTOCOL
0143.244.60.197Chicago, Illinois, United States
AS60068Datacamp Limited
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
0172.67.74.152United States
AS13335CLOUDFLARENET
0146.75.120.193Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
02400:52e0:1e00:2::1331:1Germany
AS60068Datacamp Limited
02a04:4e42:400::649United States
AS54113FASTLY
02a04:4e42:200::649United States
AS54113FASTLY
02a04:4e42::649United States
AS54113FASTLY
716--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19043633CA210C86DAD73997FFCA86F90D1649F47EDC8ABC4345C405A3FE156AB1086DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:kasTWma7wg6lGSZIwQXcSNaf8JI+BcvyeEvHXHK4:mJaU2wKIDvyeEvHXH1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58117:gIvFXQBSE5JQKHAmbIZAxcMAzwAiulAnBBCEuUEoJAUAKCEAgI2iqOqo7ACFxhehFAD2bIAFRVASCZsEICYkoBBECOiEhcoD

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:ffefe7e7e7e7ffff
Perceptual Hash:b33399cccc6466cc
Difference Hash:04084d4d0c0c0000
Wavelet Hash:fce4e4e420202038
Color Hash:#4062bf

Other Hashes

Crop Resistant:04084d4d0c0c0000

Scan History

Scan history not available

Unable to load historical scan data