[SECURITY] Add Input Validation to Prevent DoS Attacks

[Aharshi3614]

Problem Statement

The prediction API currently accepts text of unlimited length, making it vulnerable to Denial-of-Service (DoS) attacks. An attacker could send a massive text payload (e.g., 10MB of random characters) causing the ML model to consume excessive CPU/memory, potentially crashing the server.

Proposed Solution

Implement strict input validation for all API endpoints:

Maximum text length: 5000 characters

Maximum request size: 1MB

Rate limiting per IP

Early validation before expensive ML operations

[github-actions]

👋 Welcome back! Thanks for your continued contribution. Your issue/PR is received and waiting for maintainer review.

[github-actions]

The issue highlights a vulnerability in a prediction API that allows unlimited text input, making it susceptible to DoS attacks through excessively large payloads. The proposed solution includes implementing input validation to restrict text length to 5000 characters, limit request size to 1MB, enforce rate limiting per IP, and validate inputs early to prevent resource-intensive operations.

[Userunknown84]

This issue done already.

[Userunknown84]

#closed