What is the CVSS score of CVE-2025-32377?

CVE-2025-32377 has a CVSS 3.1 base score of 6.5 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L. EPSS exploitation probability: 0.2%.

Which versions of Rasa Pro are affected by CVE-2025-32377?

Organizations using Rasa Pro should be aware of notable risk from CVE-2025-32377, a missing authentication vulnerability rated CVSS 6.5. This could allow unauthorized access to protected resources.. A patch is available.

How to fix or mitigate CVE-2025-32377?

Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. Audit authentication configurations.

Rasa Pro CVE-2025-32377

MEDIUM

Missing Authentication for Critical Function (CWE-306)

2025-04-18 security-advisories@github.com

Authentication Bypass

6.5

CVSS 3.1 · GitHub Advisory

Severity by source

GitHub Advisory PRIMARY

6.5 MEDIUM

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

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

Low

Availability

Low

Lifecycle Timeline

Patch released

Mar 31, 2026 - 21:13 nvd

Patch available

Analysis Generated

Mar 28, 2026 - 18:37 vuln.today

CVE Published

Apr 18, 2025 - 20:15 nvd

MEDIUM 6.5

DescriptionGitHub Advisory

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.

AnalysisAI

Rasa Pro is a framework for building scalable, dynamic conversational AI assistants that integrate large language models (LLMs). Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as Missing Authentication for Critical Function (CWE-306), which allows attackers to access critical functionality without authentication. 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.

Affected ProductsAI

Rasa Pro where voice connectors in Rasa Pro do not properly implement authentication even when a token.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Require authentication for all sensitive operations, implement defense in depth.