Executive Summary
Informations | |||
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Name | CVE-2025-32377 | First vendor Publication | 2025-04-18 |
Vendor | Cve | Last vendor Modification | 2025-04-21 |
Security-Database Scoring CVSS v3
Cvss vector : N/A | |||
---|---|---|---|
Overall CVSS Score | NA | ||
Base Score | NA | Environmental Score | NA |
impact SubScore | NA | Temporal Score | NA |
Exploitabality Sub Score | NA | ||
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : | |||
---|---|---|---|
Cvss Base Score | N/A | Attack Range | N/A |
Cvss Impact Score | N/A | Attack Complexity | N/A |
Cvss Expoit Score | N/A | Authentication | N/A |
Calculate full CVSS 2.0 Vectors scores |
Detail
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. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-32377 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
100 % | CWE-306 | Missing Authentication for Critical Function (CWE/SANS Top 25) |
Sources (Detail)
Source | Url |
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Alert History
Date | Informations |
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2025-05-27 02:57:10 |
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