RCE in Rasahq Rasa-Pro-Security-Advisories
CVE-2024-49375
Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access.
Vulnerability class: RCE (Remote Code Execution)
EPSS: 0.009 (56.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 9.0 (Critical). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H.
Affected products
- Rasahq Rasa-pro-security-advisories — versions < 3.6.21
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (x_refsource_CONFIRM)
Frequently asked questions
- What is CVE-2024-49375?
- CVE-2024-49375 is a critical-severity vulnerability in Rasahq Rasa-Pro-Security-Advisories, classified under Code Injection. CVSS score: 9.0/10. Published 2025-01-14.
- How severe is CVE-2024-49375?
- Critical severity. CVSS v3 base score is 9.0 out of 10.
- Is CVE-2024-49375 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.