An Automation Pipeline to Make Bug Bounty Costs Zero

For a researcher just starting out in bug bounty, the $449 annual cost of Burp Suite Professional can be a heavy burden. However, by leveraging the open-source engine Yak-lang, you can build an attack automation chain of the same caliber without commercial tools. In particular, using the headless mode of Yak CLI allows you to break free from the memory overhead of a GUI and perform vulnerability assessments directly in server environments.

Building an Automation Environment

Running a MITM proxy in headless mode reduces GUI rendering costs by over 90%. While a typical GUI-based environment might consume 3.8GB of memory, a CLI-based Yak environment can function sufficiently with just 280MB.

1. Run the Yak CLI in headless mode on port 8082.
2. Write a script to log all HTTP traffic into a SQLite database.
3. Register the script in the Linux Crontab to perform automatic analysis at scheduled times every day.

Using this method reduces manual inspection time by at least 50%. Since it operates on a lightweight Go-based VM instead of a Java Virtual Machine, system resource efficiency is significantly higher.

Building a Request Manipulation Library

Modifying packets every time is a waste of time. Use the poc and fuzz packages of Yak-lang to turn repetitive patterns into a library.

1. Define payload functions for each attack type, such as SQL Injection or XSS.
2. After parsing the target web application's packets, implement the ExecuteFuzzingSession logic to inject payloads parameter by parameter.
3. When you encounter a new target, pass the raw data to the functions to start fuzzing immediately.

Mastering this workflow allows you to launch a customized fuzzing tool for a new target within 3 minutes. Automating the process of manually substituting parameters and payloads drastically improves diagnostic efficiency.

Resource Optimization to Prevent System Load

Running large-scale scans for long periods often causes systems to hang. Even when running with scripts only and no GUI, disk and CPU bottlenecks can occur.

1. When executing the scanner process, use the nice -n 15 command to lower the CPU priority and prevent system freezes.
2. In proxy settings, use the dropped() callback to filter out unnecessary static files such as png, gif, and css to prevent them from being loaded into memory.
3. Execute the VACUUM command in SQLite every 2 hours to prevent database bloat and disk fragmentation.

Precise Verification Logic to Bypass WAF

Indiscriminate packet transmission only gets you IP-blocked by WAFs. Instead of just checking for the existence of a response, you should use deviation analysis that reflects browser interpretation structures.

1. Set the IN_SCOPE_DOMAIN variable to fundamentally block unnecessary external traffic.
2. When verifying SQL Injection, compare the response body sizes of true and false conditions; categorize it as a vulnerability only when there is a difference of more than 10%.
3. When verifying XSS, apply a filter to confirm whether the probe string is not escaped and if the actual script is executed.

By introducing this precise verification logic, you can filter out only high-quality, exploitable vulnerabilities without getting buried in WAF false-positive logs. Build your own automated risk classification system to achieve competitive results.