some stuff i've been tinkering with and even wilder predictions

- instead of relying on static code, malware could use machine learning models to analyze the environment it infects and modify its behavior accordingly (aka it's too much adaptive)

- automated malware creation. meaning creating polymorphic or metamorphic malware that changes its code structure frequently to avoid signature-based detection by antivirus software

- improved evasion techniques like evading sandboxing and behavioral analysis by detecting when it is running in a virtualized or monitored environment

- automated C2 infra and letting the ai handle everything dynamically

these are like the core components being altered. there could be more stuff one can do on top of this. it's becoming more advanced and targeting at the same time. wish someone simulated two agents one on the defense and the other on the offensive. this might give some clarity. most malware devs are some kinda boomers and i am pretty sure majority of them haven't embraced it yet. but the ai slop is real atp it's being used on the bigger stages. lots of stuff to weaponize. phew we will see how the lore goes 💐
#meyapping

day ??? / ??? of waking up. have a great day y'all 💐

old Lecrae songs 🎧

used to be a boomer 🥺

jemo 😭
#shot

kitty has a reminder.
read the docs or consult some other resources before you augment/automate your coding flow. like how on earth someone populates something they don't even know what it does. i legit catch claude doing dumb stuff. so yeah don't bet on it, and always review the output 💐

i should add certified yapper and spammer on my résumé 😨

y'all it's sunny outside... well for now.
have a blessed day 💐
#shot