CVE-2024-49361 Potential Vulnerability in ACON Library: Improper Input Validation Leading to Malicious Code Execution
Attackers can execute arbitrary code by submitting malicious input to the ACON machine learning library, posing a risk to production servers.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- None listed
What is CVE-2024-49361?
CVE-2024-49361 is a high-severity code injection vulnerability in torinriley ACON, published on 18 Oct 2024. An attacker can exploit it over the internet without logging in, with no action from the victim.
Official description
ACON is a widely-used library of tools for machine learning that focuses on adaptive correlation optimization. A potential vulnerability has been identified in the input validation process, which could lead to arbitrary code execution if exploited. This issue could allow an attacker to submit malicious input data, bypassing input validation, resulting in remote code execution in certain machine learning applications using the ACON library. All users utilizing ACON’s input-handling functions are potentially at risk. Specifically, machine learning models or applications that ingest user-generated data without proper sanitization are the most vulnerable. Users running ACON on production servers are at heightened risk, as the vulnerability could be exploited remotely. As of time of publication, it is unclear whether a fix is available.
Weakness: CWE-20
Which versions are affected by CVE-2024-49361?
How do I fix CVE-2024-49361?
No fix has been published for CVE-2024-49361 yet. Limit exposure of the affected software until one is available.
Upgrade, and never evaluate templates, expressions or code built from user input. More about Code injection.
Is CVE-2024-49361 being exploited?
There is no known exploitation of CVE-2024-49361 in the wild and no public exploit code.