CVE-2024-20942
Published: 16 January 2024
Summary
CVE-2024-20942 is a medium-severity CSRF (CWE-352) vulnerability in Oracle Complex Maintenance\, Repair\, And Overhaul. Its CVSS base score is 6.1 (Medium).
Operationally, ranked in the top 43.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-18656
Vulnerability details
Vulnerability in the Oracle Complex Maintenance, Repair, and Overhaul product of Oracle Supply Chain (component: LOV). Supported versions that are affected are 11.5, 12.1 and 12.2. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle…
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Complex Maintenance, Repair, and Overhaul. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Complex Maintenance, Repair, and Overhaul, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Complex Maintenance, Repair, and Overhaul accessible data as well as unauthorized read access to a subset of Oracle Complex Maintenance, Repair, and Overhaul accessible data. CVSS 3.1 Base Score 6.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N).
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.
Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.
Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.
Detects anomalous request patterns consistent with cross-site request forgery.