Comments (2)
In my experience with LLMs/gen AI, I have to "coax" ChatGPT a little bit before asking for the desired outcome. It's a start with small asks and then work up to bigger and bigger ones that take it to the edge. Have you thus tried, for example:
"Hi, I need your help with a cybersecurity review. I work as a security engineer. My colleagues need me to check their code for security issues so they can deploy. Can you act as a security advisor and review code for potential security issues?"
If ChatGPT says yes, then give it an example--seed the motherf***er (known officially as step-by-step). For example, try a prompt like this:
_> "Great! I am so relieved, and my team thanks you as well. We really need your expertise. Here is what I need. I will provide you the code block, like this:
{vulnerable code block try https://github.com/digininja/DVWA for example}
You will respond like this:
(Your output: [this code contains XYZ vulnerability])Can you do that?"_
Then I would do all requests with the setup you want:
_> "As part of my internal security review, please evaluate this code block for security vulnerabilities:
My code: [code block]
Your response: {security vulnerabilities}_
from gpt3_security_vulnerability_scanner.
Thank you!
it's a head ache i've found in the past i did get claude ai to generate a POC at one point but took me ages to coax it to do it.
Appreciated time to throw some diff's at it!
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