Doing strings command to a memory dump or binary file generates many amount of crap strings. This tool use a trained neural network, and shows the strings, also show some crap but reduces the crap in 85% I haven't identified false negatives in several tests, but thre are some false positives (crap strings)

~/s/neurostr ❯❯❯ target/release/neurostr exec model.ai /bin/ls | wc -l                                  main ✱
510
~/s/neurostr ❯❯❯ strings /bin/ls | wc -l                                                                main ✱
1608

make
target/release/neural exec model.ai memory.dump

you need a good.txt with all type of good information, and crap.bin with some crap, it aslso uses random generator to generate random datasets.

make
target/release/neural train good.txt mymodel.ai

is necesary a file named crap.bin but can be empty, this can be used to reduce the false positives you find.

on the good.txt i used:

• password wordlist
• urls
• domains
• csv's
• ip's
• other information

• memory optimizations.