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Security Scan Report: flpythoninvasion.org

Submitted: Apr 23, 2026, 10:12:11 AMCompleted: Apr 23, 2026, 10:13:44 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 30 HTTP transactions. The main domain is flpythoninvasion.org and was registered NaN years ago.

Submitted URL: https://flpythoninvasion.org/resources/regulations-and-permits/

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Site impersonates a government agency with mismatched domain and obfuscated JavaScript, indicating high phishing risk.

Risk Factors
Brand impersonation via meta tags
Unranked domain reputation
Highly obfuscated JavaScript
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware YARA matches
No network IDS alerts
Established domain (1090 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Regulations and Permits FPCP

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(37%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'flpythoninvasion.org' is registered with no subdomain. The registrable portion 'flpythoninvasion' spans 16 characters holding 5 vowels versus eleven consonants. Word splitting yields 3 words: fl, python, invasion. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flpythoninvasion.org/resources/regulations-and-permits/

Page Load Overview

3.12s
Total Load Time
49
HTTP Requests
11
Domains
1.3 MB
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:2,481 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
37%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.251.20.93United States
AS15169
523.50.131.158Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.250.154.97United States
AS15169Google LLC
5142.251.14.95United States
AS14618
513.35.58.102United States
AS16509
53.223.113.108Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
5108.138.7.28United StatesUnknown
5172.64.147.188United States
AS13335Cloudflare, Inc.
5142.251.110.94United StatesUnknown
499--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D8B2957391F08477025341C66A6063ADAFA3D09BE61E4E1676BD0BCD5FCAD938C1362E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Lt7WPB6Tnw0u8u3zln55Z2Elu7u8YlgY/bEgDHEMuAHuHutBiSuREu0ut2lIa/UE:LVMJhr5OKmYz9HGO2Jru5T7pNh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25648:BAY5oDi4QAmKqlYCgBAkAUFF6O2RIqRbxwTKQYhNYdEhHgHPhRAMQJEKCupDDAUMgxQTAEEgAACNPAl4YoEWEFmsAEgpQAAC

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:0096ffdf8f87dfff
Perceptual Hash:bc46463e2a472ee9
Difference Hash:2d2c2233373d3dc1
Wavelet Hash:0000ff8b83878fff
Color Hash:#c587b6

Other Hashes

Crop Resistant:2d2c2233373d3dc1,c3838d4d498d2549,d3d3537379797979,b458306b4e05719d

Scan History

Scan history not available

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