CVE-2026-61047 in Production Scheduling
Summary
by MITRE • 07/22/2026
Vulnerability in the Oracle Production Scheduling product of Oracle E-Business Suite (component: Internal Operations). Supported versions that are affected are 12.2.3-12.2.15. Difficult to exploit vulnerability allows high privileged attacker with logon to the infrastructure where Oracle Production Scheduling executes to compromise Oracle Production Scheduling. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Production Scheduling accessible data. CVSS 3.1 Base Score 1.9 (Integrity impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:N/I:L/A:N).
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Analysis
by VulDB Data Team • 07/22/2026
This vulnerability resides within Oracle Production Scheduling, a component of the Oracle E-Business Suite that operates under the Internal Operations framework. The affected versions span from 12.2.3 through 12.2.15, indicating a prolonged period of exposure across multiple releases. The vulnerability classification as difficult to exploit suggests that while it requires specific conditions for successful exploitation, the potential impact remains significant enough to warrant attention. The attack vector requires an attacker with high privileged access to the infrastructure where Oracle Production Scheduling operates, which aligns with the CVSS base score of 1.9 and represents an integrity impact rather than confidentiality or availability compromise.
The technical flaw manifests as a weakness that allows unauthorized modification of data within the Oracle Production Scheduling system when accessed by an attacker with legitimate login credentials and elevated privileges. This represents a privilege escalation scenario where existing access is leveraged to perform unauthorized operations on database records. The vulnerability's classification under CVSS 3.1 vector AV:L/AC:H/PR:H/UI:N/S:U/C:N/I:L/A:N indicates local access requirements, high attack complexity, high privileges needed, no user interaction required, and an unscoped impact with only integrity affected. This configuration suggests that the vulnerability operates within a trusted environment where internal attackers or those who have gained legitimate access could potentially manipulate production scheduling data without detection.
The operational impact of this vulnerability extends beyond simple data modification as it affects the core functionality of production scheduling systems that are critical to manufacturing and supply chain operations. Unauthorized update, insert, or delete operations on production scheduling data can lead to significant disruptions in manufacturing processes, inventory management, and resource allocation decisions. The potential for operational disruption increases when considering that production scheduling systems often serve as central coordination points for complex manufacturing workflows where data integrity directly correlates with business continuity and operational efficiency.
Mitigation strategies should focus on implementing the principle of least privilege access control measures to limit the scope of elevated privileges within the Oracle Production Scheduling environment. Network segmentation and monitoring controls should be enhanced to detect anomalous access patterns or unauthorized data modifications. Regular security assessments and patch management procedures must be strictly enforced across all supported versions to ensure timely remediation. The vulnerability's classification suggests that organizations should consider implementing additional auditing mechanisms specifically targeting data modification activities within the Oracle Production Scheduling component. This aligns with CWE categories related to privilege escalation and insufficient authorization controls, as well as ATT&CK techniques focused on persistence and privilege escalation within enterprise environments. Organizations should also establish robust change management processes and continuous monitoring solutions that can detect unauthorized modifications to critical production scheduling data, thereby reducing the risk of undetected compromise.