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.

Classification

CVE ID: CVE-2025-32377

CVSS Base Severity: MEDIUM

CVSS Base Score: 6.5

CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L

Affected Products

Vendor: RasaHQ

Product: rasa-pro-security-advisories

References

https://nvd.nist.gov/vuln/detail/CVE-2025-32377
https://github.com/RasaHQ/security-advisories/security/advisories/GHSA-7xq5-54jp-2mfg

Timeline