CVE-2025-32377
Rasa Pro Missing Authentication For Voice Connector APIs
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 :
April 18, 2025, 8:15 p.m.
Last Modified :
April 21, 2025, 2:23 p.m.
Remotely Exploit :
Yes !
Source :
[email protected]
Affected Products
The following products are affected by CVE-2025-32377
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | MEDIUM | [email protected] |
Solution
- Update Rasa Pro to version 3.9.20 or later.
- Update Rasa Pro to version 3.10.19 or later.
- Update Rasa Pro to version 3.11.7 or later.
- Update Rasa Pro to version 3.12.6 or later.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-32377.
| URL | Resource |
|---|---|
| https://github.com/RasaHQ/security-advisories/security/advisories/GHSA-7xq5-54jp-2mfg |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-32377 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-32377
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-32377 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-32377 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
New CVE Received by [email protected]
Apr. 18, 2025
Action Type Old Value New Value Added 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. Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L Added CWE CWE-306 Added Reference https://github.com/RasaHQ/security-advisories/security/advisories/GHSA-7xq5-54jp-2mfg