Security Scan Report: static.ffx.io

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Submitted: Jun 11, 2026, 3:37:18 PMCompleted: Jun 11, 2026, 3:52:48 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is static.ffx.io and was registered NaN years ago.

Submitted URL: https://static.ffx.io

The Cisco Umbrella rank of the primary domain is #181,628 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows an HTTP 409 error page, has no forms or malicious signals, and is hosted on a long‑standing domain; it is considered legitimate.

Safety Factors
Old, well‑established domain
No malicious indicators (IoC, YARA, IDS alerts)
No credential or payment forms
Domain age information unavailable

Details

Page Title

static.ffx.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(58%)

Domain Information

You're looking at domain 'static.ffx.io' on the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'static'. The registrable portion 'ffx' spans 3 characters containing zero vowels alongside 3 consonants. Tokenizing the label suggests two words: ff, x. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://static.ffx.io

Page Load Overview

0.33s
Total Load Time
1
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:159 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
cryptocurrency blockchain
55%
technology software
50%
news media journalism
42%
healthcare medical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9/Qho9PKBb9Js3q9Jzbs6tlg1ySBKw4Q9gcoIsPg2bMy8Oldt:+hoC9JSqzzbs6okSCggcpsY2eA3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185125:WukQUwZ0BwNQsCI7OWIQiSiKKgJEgDEAABhAJVxBLCk0Qk6Ew7UggEAI2IpbQYE/EZUzDqoALLDQALYMaA4GoCVHImrAQAJR

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:f0d0c4f0f0f0f0f0
Color Hash:#d279aa

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data