CVE-2026-70734 in Autonomous Health Framework
Summary
by MITRE • 08/19/2026
Vulnerability in Oracle Autonomous Health Framework (component: Trace File Analyzer). Supported versions that are affected are 26-26.1.0, 26.2.0, 26.3.1, 26.5.0 and 26.5.2. Easily exploitable 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 and while the vulnerability is in Oracle Autonomous Health Framework, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Autonomous Health Framework accessible data and unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle Autonomous Health Framework. CVSS 3.1 Base Score 7.4 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:R/S:C/C:N/I:H/A:H).
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Analysis
by VulDB Data Team • 08/19/2026
The Oracle Autonomous Health Framework, specifically within the Trace File Analyzer component, contains a critical security vulnerability that affects multiple supported versions including 26-26.1.0, 26.2.0, 26.3.1, 26.5.0, and 26.5.2. This flaw represents a significant risk to the integrity and availability of Oracle database infrastructure environments where this framework is deployed. The vulnerability stems from an implementation error within the Trace File Analyzer that allows for exploitation under specific conditions involving high-privileged users who have legitimate logon access to the underlying infrastructure. Unlike many remote code execution vulnerabilities, this issue does not require network exposure or complex attack vectors but rather relies on local access and social engineering elements to achieve compromise.
The technical nature of this vulnerability is characterized by its reliance on human interaction for successful exploitation. An attacker must possess high privileges within the operating system where Oracle Autonomous Health Framework executes and must also induce a non-attacker user, such as an administrator or database operator, to perform specific actions that trigger the flaw. This requirement aligns with the ATT&CK technique of User Execution, indicating that while the technical barrier is low due to local access requirements, the social engineering aspect adds a layer of complexity for potential adversaries. The vulnerability allows for unauthorized creation, deletion, or modification of critical data accessible by the framework, as well as all other Oracle Autonomous Health Framework accessible data. This directly impacts the confidentiality and integrity aspects of security, although current assessments indicate no direct impact on confidentiality beyond what is already exposed to high-privileged users, focusing instead on severe integrity violations.
The operational impact of a successful exploit extends beyond the immediate compromise of the Trace File Analyzer component. Due to scope change dynamics inherent in Oracle products, an attacker who compromises this framework can significantly impact additional connected products within the ecosystem. The most critical consequence is the ability to cause a hang or frequently repeatable crash of the Oracle Autonomous Health Framework itself. This results in a complete denial of service condition for health monitoring and diagnostic capabilities, which are essential for maintaining database stability and performance. By disrupting these services, an attacker can blind administrators to ongoing issues within the database environment, potentially masking other malicious activities or causing operational downtime that affects business continuity.
From a classification perspective, this vulnerability is best understood through standard security frameworks such as CWE and ATT&CK. It likely corresponds to CWE-20 Improper Input Validation or CWE-787 Out-of-bounds Write depending on the specific memory corruption mechanism involved in the Trace File Analyzer processing logic. The requirement for local access places it under CVSS Attack Vector Local, while the need for user interaction classifies it with UI:R in the vector string. The high privilege requirement (PR:H) means that pre-existing compromise of a system account is necessary, but once achieved, the potential for damage is substantial given the elevated privileges typically held by database administrators and infrastructure operators who interact with these tools daily.
Mitigation strategies must focus on both technical controls and procedural safeguards. Oracle has released patches to address this vulnerability in the affected versions listed above. Organizations should prioritize applying these updates as part of their standard patch management cycles, ensuring that maintenance windows are scheduled promptly for systems running Trace File Analyzer components. In addition to patching, strict access control policies should be enforced to limit high-privileged logon capabilities to only those personnel who absolutely require them. Implementing multi-factor authentication and rigorous monitoring of administrative actions can help detect anomalous behavior that might indicate an attempt to exploit this vulnerability. Furthermore, since the attack requires human interaction, security awareness training for database administrators and infrastructure staff is crucial to recognize suspicious requests or unusual prompts from colleagues that could be part of a social engineering campaign aimed at triggering this flaw.