Approved changes feed: RSS · Atom
cpe:2.3:a:acon:acon:*:*:*:*:*:*:*:*
part: a version: * update: *
| Vendor | Acon (d1e38f59-d1f0-5e03-9f14-7632580c67bb) |
|---|---|
| Product | Acon (9242fcdd-a23e-51d9-82b9-74aa2adef1f5) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
| Notes | Imported from gcve-enriched-dumps CVE data |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
| No PURL mappings for this CPE yet. | ||
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2024-49361 |
vulnerable | 2026-06-03 14:57:12.328938 |
Potential Vulnerability in ACON Library: Improper Input Validation Leading to Malicious Code Execution
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.
Published: 2024-10-18T18:55:42.604Z
Updated: 2024-10-18T20:41:16.532Z |
Imported from gcve-enriched-dumps CVE data |
Contribute
You can submit an edit proposal for this CPE entry or suggest a related product/vendor addition using the action button above.