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GHSA-2wvh-87g2-89hr

CriticalCVSS 9.6 / 10
Published Apr 23, 2026·Last modified Apr 23, 2026
Affected Components(0)

No affected components available

Description

Vulnerability Type: Execution with Unnecessary Privileges Attack type: Authenticated remote Impact: Data disclosure/manipulation, privilege escalation Affected components: The following docker images: • Openc3inc/openc3-COSMOS-script-runner-api

The Script Runner widget allows users to execute Python and Ruby scripts directly from the openc3-COSMOS-script-runner-api container. Because all the docker containers share a network, users can execute specially crafted scripts to bypass the API permissions check and perform administrative actions, including reading and modifying data inside the Redis database, which can be used to read secrets and change COSMOS settings, as well as read and write to the buckets service, which holds configuration, log, and plugin files. These actions are normally only available from the Admin Console or with administrative privileges. Any user with permission to create and run scripts can connect to any service in the docker network.

<img width="940" height="473" alt="image" src="https://github.com/user-attachments/assets/bf524163-127d-4349-999b-cefc53d4374d" />

Figure 1: Environment variables, including Redis credentials, found in the Script Runner container A Ruby script is used to expose the Redis username, password, hostname, and port. These credentials might also be found from the source code or through a brute-force attack.

<img width="940" height="507" alt="image" src="https://github.com/user-attachments/assets/6d3ccad4-949d-4eeb-a5f8-3aca48bbe815" />

Figure 2: A Python script is used to add data to Redis and retrieve the new data A Python script is then used to create a new entry in the Redis database called openc3__settings_hacked with a key of store_url and a value of http://hacked.com.

<img width="940" height="70" alt="image" src="https://github.com/user-attachments/assets/fcef13be-5416-4627-9c95-617a24674ee0" />

Figure 3: The new data found in the Redis database The new entry was successfully added to the Redis database, as is confirmed by using redis-cli. The following example shows how an attacker might change the plugin store URL file that is stored in the config bucket.

<img width="940" height="640" alt="image" src="https://github.com/user-attachments/assets/681b4dd6-4b6e-4a91-8480-0c9fbff76ede" />

Figure 4: Uploading file to change the plugin store URL setting

<img width="940" height="189" alt="image" src="https://github.com/user-attachments/assets/630db0bb-217e-4205-be1d-e9891516b22f" />

Figure 5: The URL file was successfully changed

Steps To Reproduce

  1. Run the following Ruby code to find the Redis credentials:
puts `env | grep redis`
  1. Add the following Python script with the credentials to create a new entry and read it
import redis
import json
import time

r = redis.Redis(
    host = 'openc3-redis',
    port = 6379,
    username = 'openc3', 
    password = 'openc3password',  
    decode_responses=True
)

# Save a setting
setting_data = {
    'name': 'store_url',
    'data': 'http://hacked.com',
    'updated_at': time.time_ns()
}
r.hset('openc3__settings_hacked','store_url',json.dumps(setting_data))
print(r.hget('openc3__settings_hacked','store_url'))

Recommendations

• Limit the permissions of the script runner API to prevent lower level users from performing administrative actions

Risk Scores
Base Score
9.6

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The vulnerability can affect other systems as well, not just the initial system. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data.

Threat Intelligence
8.8

Exploitation activity has been observed. Apply available patches or mitigations urgently.

EPSS
0.34%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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