Attempt login with given credentials and detect success/failure Args: url: Target URL selectors_data

Save form analysis results to database

Calculate delay with random jitter for more human-like timing Returns: float: Total delay time (base delay + ran

Check if any webhooks are configured Returns: bool: True if at least one webhook is configured, False otherwise

Send success notification to configured webhooks Args: url: Target URL where success occurred userna

Extract login-related content from HTML - inputs, buttons, and their context

Load data from file or return list if already a list

Check if an attempt already exists in the database Args: url: Target URL username: Username to check

Get a random User-Agent string from the loaded list Returns: str: Random User-Agent string or None if no User-Ag

Save brute force attempt to database

Test actual login attempt to measure failed DOM length

Validate selectors and return both results and detailed feedback

Check for updates from mordavid.com Args: silent: If True, only show update messages, not "up to date" messages force: I

Create SQLite database with required tables if it doesn't exist

Send prompt to LLM provider (Ollama or Groq) Args: prompt: The user prompt to send system_prompt: Op

Load lines from a file, strip whitespace and filter empty lines

Analyze HTML content with LLM to identify selectors

Analyze HTML content with LLM on retry, providing feedback about previous failures

Check if Ollama is installed and running Args: ollama_url: Ollama server URL (default: http://localhost:11434) Retu

Check if a specific model is installed in Ollama Args: model_name: Name of the model to check ollama_url: Ollama server

Execute brute force attack (try all username/password combinations)

Execute password spray attack (try each password against all usernames)

Extract selectors that actually work from validation results

Check if selectors already exist in the database for a URL Args: url: URL to check Returns:

Get external IP address (can be slow - up to 5 seconds)

Get selectors and analysis data from database for a URL Args: url: URL to get selectors for

Send request to Groq API

Send request to Ollama API

Prepare detailed feedback about failed selectors for LLM retry

Print webhook configuration status

Send notification to Discord webhook

Send notification to Slack webhook

Send notification to Microsoft Teams webhook

Send notification to Telegram bot

Validate LLM setup and provide helpful error messages Args: llm_provider: LLM provider ('ollama' or 'groq') llm_model: M

Check if database exists, create it if it doesn't

Clean (truncate) all database tables

Disable all colors

Execute Analyze - Login form analysis

Execute Attack - Login attacks

Execute Check Updates

Clean database tables

Flush both outputs

Print colorful banner with tool information

Analyze web page to identify login form selectors Args: url: URL to analyze Returns:

Execute brute force attack using analyzed selectors from stage1 Args: mode: 'bruteforce' or 'passwordspray' (def

Start capturing output

Stop capturing output

Initialize BruteForceAI instance Args: urls_file: File path containing URLs (one per line) or list of URLs

Attempt login with delay logic for multi-threaded brute force This tries to implement delay between passwords for the same user in mu

Attempt login with synchronized delay logic for multi-threaded brute force This ensures proper delay between passwords for the same u

Attempt login with success check for multi-threaded password spray

Execute the brute force operation

Write to both console and file