{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2024-49361 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2024-49361 yet. Limit exposure of the affected software until one is available.","what":"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."},"fix_prompt":"Check this codebase for CVE-2024-49361 and fix it if it is affected.\n\nWhat it is: 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.\nExploitation: There is no known exploitation of CVE-2024-49361 in the wild and no public exploit code.\n\nAffected product: torinriley ACON. No package-level version data is available, so check the vendor advisory linked from the reference page.\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2024-49361/ (Markdown: https://insights.sbomify.com/CVE-2024-49361/index.md)","id":"CVE-2024-49361","markdown":"https://insights.sbomify.com/CVE-2024-49361/index.md","name":"CVE-2024-49361","record":{"aliases":[],"analysis":{"component_type":"library","fix_type":"no_fix_stated","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"Machine learning library","requires_auth":"none","summary":"Attackers can execute arbitrary code by submitting malicious input to the ACON machine learning library, posing a risk to production servers.","user_interaction":"not_required","vuln_class":"code_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[],"cvss":{"score":8.1,"severity":"high","source":"cna","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:U","version":"4.0"},"cwes":[{"id":"CWE-20","name":"Improper Input Validation"}],"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.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":null,"headline":"Potential Vulnerability in ACON Library: Improper Input Validation Leading to Malicious Code Execution","id":"CVE-2024-49361","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"code_injection","year":"2024"},"n_packages":0,"n_references":1,"next":{"headline":"Remote Code Execution on click of \u003ca\u003e Link in markdown preview","id":"CVE-2024-49362"},"packages":[],"prev":{"headline":"Path traversal in Sandboxie","id":"CVE-2024-49360"},"products":["ACON"],"published":"2024-10-18","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"yes","exploitation":"none","technical_impact":"total"},"state":"PUBLISHED","updated":"2024-10-18","vendors":["torinriley"]},"summary":"Attackers can execute arbitrary code by submitting malicious input to the ACON machine learning library, posing a risk to production servers.","url":"https://insights.sbomify.com/CVE-2024-49361/"}