CVE intelligence and bounded remediation

CVE-2025-32377 — Rasa Pro is a framework for building scalable, dynamic conversational AI assistants that integrate large language models (LLMs)

Medium CVSS 6.5

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.

Severity
Medium
CVSS
6.5 (3.1)
Published
2025-04-18
CISA KEV
Not currently listed
Ecosystem
software/application
Weaknesses
CWE-306

Affected products

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Matched remediation archetype

Authentication bypass and missing authentication

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Check exposure

  • Map every affected endpoint and protocol path, including alternate ports, legacy routes, recovery flows, service accounts, and machine-to-machine access.
  • Confirm which deployments enable the affected authentication mode and whether the interface is reachable from untrusted networks.
  • Review session, token, credential, and proxy trust configuration without attempting account takeover.

Remediate safely

  • Apply the supported fix and centralize fail-closed authentication before protected request handling.
  • Remove default or embedded credentials, rotate affected secrets and sessions, and bind authentication decisions to the intended audience and channel.
  • Add negative tests for alternate routes, malformed or absent credentials, recovery flows, and proxy-derived identity.

Authoritative sources

Complete CVE record and remediation plan

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