Description
Rasa Pro is a framework for building scalable, dynamic conversational AI assistants that integrate large language models (LLMs). A vulnerability has been identified in Rasa Pro where voice connectors in Rasa Pro do not properly implement authentication even when a token is configured in the credentials.yml file. This could allow an attacker to submit voice data to the Rasa Pro assistant from an unauthenticated source. This issue has been patched for audiocodes, audiocodes_stream, and genesys connectors in versions 3.9.20, 3.10.19, 3.11.7 and 3.12.6.
INFO
Published Date :
2025-04-18T19:59:32.286Z
Last Modified :
2025-04-18T20:35:41.744Z
Source :
GitHub_M
AFFECTED PRODUCTS
The following products are affected by CVE-2025-32377 vulnerability.
No data.
REFERENCES
Here, you will find a curated list of external links that provide in-depth information to CVE-2025-32377.
