AUGUST 4, 2026
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Case File

CVE-2024-49361

UNKNOWN · CVSS N/A EPSS 0.73% Public Exploit

Source: NVD + CISA KEV + EPSS (historical backfill) · Published 2024-10-18 · Last synced 2026-08-04

CyberRota Analysis

This vulnerability has an unknown severity rating. Public exploit code or proof-of-concept references have been detected in its references. It may be remotely exploitable.

Public Exploit Signal

A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.

Detected Signals
exploit remote code execution arbitrary code execution code execution
GitHub PoC Links

Note: these links are listed for security research and verification purposes only.

CVE
CVE-2024-49361
Severity
UNKNOWN
CVSS
N/A
EPSS
0.73%

Original NVD 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.