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Race Condition Exploits Lab 본문
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Race Condition Exploits Lab
In this lab, we will simulate race condition exploits in multithreaded applications.
Lab Activities:
1. Creating Vulnerable C Program:
First, let's create a vulnerable C program with a race condition vulnerability.
#include <stdio.h>
#include <stdlib.h>
#include <pthread.h>
int global_variable = 0;
void *thread_function(void *arg) {
int *increment = (int *)arg;
global_variable += *increment;
return NULL;
}
int main() {
pthread_t threads[2];
int increments[] = {1, -1};
for (int i = 0; i < 2; i++) {
pthread_create(&threads[i], NULL, thread_function, (void *)&increments[i]);
}
for (int i = 0; i < 2; i++) {
pthread_join(threads[i], NULL);
}
printf("Global variable value: %d\n", global_variable);
return 0;
}
Save the above code to a file named vulnerable.c
and compile it with the following command:
$ gcc -o vulnerable -pthread vulnerable.c
2. Writing Exploit Script:
Now, let's write an exploit script in Python to simulate the race condition exploit.
import subprocess
import threading
# Function to repeatedly execute the vulnerable program
def execute_vulnerable():
subprocess.run(['./vulnerable'])
# Create multiple threads to execute the vulnerable program concurrently
num_threads = 10
threads = []
for _ in range(num_threads):
t = threading.Thread(target=execute_vulnerable)
threads.append(t)
t.start()
# Wait for all threads to complete
for t in threads:
t.join()
Explanation of the Python script:
- We define a function to repeatedly execute the vulnerable program.
- We create multiple threads to execute the vulnerable program concurrently.
- Each thread executes the
execute_vulnerable()
function. - We start all threads and wait for them to complete.
3. Exploiting the Vulnerability:
Execute the Python script to simulate the race condition exploit:
$ python exploit.py
Once executed, you should observe different values of the global variable due to the race condition, demonstrating the successful simulation of the exploit.
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