CVE-2024-5751

BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the add_deployment function, which decodes and decrypts environment variables from base64 and assigns them to os.environ. An attacker can exploit this by sending a malicious payload to the /config/update endpoint, which is then processed and executed by the server when the get_secret function is triggered. This requires the server to use Google KMS and a database to store a model.

BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the add_deployment function, which decodes and decrypts environment variables from base64 and assigns them to os.environ. An attacker can exploit this by sending a malicious payload to the /config/update endpoint, which is then processed and executed by the server when the get_secret function is triggered. This requires the server to use Google KMS and a database to store a model.

BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the add_deployment function, which decodes and decrypts environment variables from base64 and assigns them to os.environ. An attacker can exploit this by sending a malicious payload to the /config/update endpoint, which is then processed and executed by the server when the get_secret function is triggered. This requires the server to use Google KMS and a database to store a model.

BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the add_deployment function, which decodes and decrypts environment variables from base64 and assigns them to os.environ. An attacker can exploit this by sending a malicious payload to the /config/update endpoint, which is then processed and executed by the server when the get_secret function is triggered. This requires the server to use Google KMS and a database to store a model.

BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the add_deployment function, which decodes and decrypts environment variables from base64 and assigns them to os.environ. An attacker can exploit this by sending a malicious payload to the /config/update endpoint, which is then processed and executed by the server when the get_secret function is triggered. This requires the server to use Google KMS and a database to store a model.

BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the add_deployment function, which decodes and decrypts environment variables from base64 and assigns them to os.environ. An attacker can exploit this by sending a malicious payload to the /config/update endpoint, which is then processed and executed by the server when the get_secret function is triggered. This requires the server to use Google KMS and a database to store a model.

BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the add_deployment function, which decodes and decrypts environment variables from base64 and assigns them to os.environ. An attacker can exploit this by sending a malicious payload to the /config/update endpoint, which is then processed and executed by the server when the get_secret function is triggered. This requires the server to use Google KMS and a database to store a model.