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ramaritacreations/sql-injection-attack-detection

32

๐Ÿ” Detect SQL injection attacks with a machine learning system that uses feature engineering and an SVM classifier for real-time predictions.

What's novel

๐Ÿ” Detect SQL injection attacks with a machine learning system that uses feature engineering and an SVM classifier for real-time predictions.

Code Analysis

0 files read ยท 4 rounds

A minimal script that likely wraps a pre-trained SVM model to classify SQL queries as safe or malicious, but lacks custom implementation logic.

Strengths

The project follows a logical pipeline structure (preprocessing -> feature extraction -> training -> prediction) and includes necessary components like a dataset directory and requirements file.

Weaknesses

File sizes are suspiciously small for the claimed functionality, suggesting placeholder code or heavy reliance on external libraries without custom logic. The README contains significant errors (URLs as file paths), indicating poor maintenance. No tests were found, and error handling is likely minimal given the lack of visible implementation.

Score Breakdown

Innovation
2 (25%)
Craft
30 (35%)
Traction
6 (15%)
Scope
34 (25%)

Signal breakdown

Innovation

Not Fork+1
Code Novelty+0
Concept Novelty+0

Craft

Ci-2
Tests-3
Polish+0
Releases+0
Has License+5
Code Quality+7
Readme Quality+15
Recent Activity+7
Structure Quality+5
Commit Consistency+0
Has Dependency Mgmt+5

Traction

Forks+0
Stars+6
Hn Points+0
Watchers+0
Early Traction+0
Devto Reactions+0
Community Contribs+2

Scope

Commits+5
Languages+3
Subsystems+5
Bloat Penalty+0
Completeness+7
Contributors+6
Authored Files+8
Readme Code Match+3
Architecture Depth+3
Implementation Depth+8

Evidence

Commits

13

Contributors

2

Files

11

Active weeks

2

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

3

Forks

0

License

MIT