CVE-2026-60172 in Autonomous Health Framework
Summary
by MITRE • 07/22/2026
Vulnerability in Oracle Autonomous Health Framework (component: Developer triaging platform). Supported versions that are affected are 26.0.0, 26.1.0 and 26.2.0. Difficult to exploit vulnerability allows high privileged attacker with logon to the infrastructure where Oracle Autonomous Health Framework executes to compromise Oracle Autonomous Health Framework. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in takeover of Oracle Autonomous Health Framework. CVSS 3.1 Base Score 6.3 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:U/C:H/I:H/A:H).
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Analysis
by VulDB Data Team • 07/22/2026
The vulnerability resides within Oracle Autonomous Health Framework's Developer triaging platform component, affecting versions 26.0.0, 26.1.0, and 26.2.0. This security flaw represents a significant concern for organizations relying on Oracle's autonomous database management systems where the framework operates with elevated privileges and critical system access. The vulnerability classification as difficult to exploit indicates that while the attack vector requires specific conditions and prerequisites, successful exploitation can lead to complete compromise of the affected system. The CVSS 3.1 score of 6.3 reflects a medium severity threat with high impacts across confidentiality, integrity, and availability domains, demonstrating the potential for substantial damage when exploited.
The technical nature of this vulnerability stems from insufficient access controls and privilege management within the Developer triaging platform component. Attackers must first establish a logon session on the infrastructure where Oracle Autonomous Health Framework executes, which typically requires legitimate credentials or prior system compromise. The high privileged requirement (PR:H) indicates that attackers need elevated system access rights to exploit this flaw effectively. The human interaction requirement (UI:R) suggests that successful exploitation necessitates some form of user action or involvement from individuals who are not the primary attacker, potentially through social engineering, privilege escalation, or legitimate administrative processes. This design element makes the vulnerability more challenging to automate but also more dangerous when successfully exploited.
The operational impact of this vulnerability extends beyond simple data compromise, as successful attacks can result in complete takeover of the Oracle Autonomous Health Framework itself. This represents a critical security failure where an attacker could gain full control over the system's health monitoring and triaging capabilities, potentially allowing them to manipulate diagnostic information, bypass security controls, or even disable critical monitoring functions. The confidentiality impact (C:H) suggests that attackers could access sensitive operational data, integrity impact (I:H) indicates potential for data corruption or manipulation, while availability impact (A:H) demonstrates the risk of complete system disruption or denial of service conditions. This vulnerability directly violates fundamental security principles and can undermine the entire autonomous framework's reliability and trustworthiness.
Organizations should implement immediate mitigations including strict access controls, regular privilege reviews, and enhanced monitoring of system logons and administrative activities. The principle of least privilege should be enforced rigorously across all systems running Oracle Autonomous Health Framework versions 26.0.0 through 26.2.0. Security teams must conduct comprehensive vulnerability assessments and consider network segmentation to limit potential attack surfaces. Patch management procedures should be prioritized to ensure timely deployment of Oracle's security updates, while incident response plans should include specific protocols for handling potential compromises of autonomous health monitoring systems. The vulnerability aligns with CWE-284 (Improper Access Control) and may map to ATT&CK techniques involving privilege escalation and persistence mechanisms. Regular security audits and penetration testing of these components are essential to identify similar weaknesses in the broader Oracle ecosystem that could provide additional attack vectors for sophisticated adversaries.