CVE-2026-70717 in Autonomous Health Framework
Summary
by MITRE • 08/19/2026
Vulnerability in Oracle Autonomous Health Framework (component: Cluster Health Analyzer). Supported versions that are affected are 26-26.1.0, 26.2.0, 26.3.1, 26.5.0 and 26.5.2. Difficult to exploit vulnerability allows low privileged attacker with access to the physical communication segment attached to the hardware where the Oracle Autonomous Health Framework executes to compromise Oracle Autonomous Health Framework. 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 as well as unauthorized access to critical data or complete access to all Oracle Autonomous Health Framework accessible data. CVSS 3.1 Base Score 7.7 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:A/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:N).
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Analysis
by VulDB Data Team • 08/19/2026
The Oracle Autonomous Health Framework, specifically within the Cluster Health Analyzer component, contains a vulnerability that permits unauthorized access to critical system data when specific environmental conditions are met. This flaw affects several supported versions of the software, including releases 26 through 26.1.0, as well as version 26.2.0, 26.3.1, and the later updates 26.5.0 and 26.5.2. The core issue stems from a design or implementation error that allows an attacker to compromise the integrity and confidentiality of the health monitoring infrastructure if they can physically access the communication segment connected to the hardware hosting the framework. This physical proximity requirement significantly narrows the attack surface, distinguishing it from remote network-based exploits but highlighting risks in environments where physical security controls are insufficient.
From a technical perspective, this vulnerability is classified as difficult to exploit due to its high complexity and the specific prerequisites required for execution. The attacker must possess low privileges on the local system or segment and have direct access to the physical communication interface attached to the target hardware. Once these conditions are satisfied, the flaw enables the adversary to manipulate the Cluster Health Analyzer's data stores. This manipulation can lead to unauthorized creation, deletion, or modification of critical operational data managed by the framework. Furthermore, it grants the attacker the ability to read sensitive information that is otherwise protected within the health monitoring subsystems. The impact extends beyond the immediate component, as compromises in this area can cascade into broader system instability or misconfiguration across dependent Oracle products, reflecting a scope change where the initial breach affects additional services and data repositories.
The operational impact of successfully exploiting this vulnerability is severe, primarily affecting confidentiality and integrity while leaving availability largely intact according to the provided metrics. An attacker could exfiltrate sensitive diagnostic logs, configuration details, or performance metrics that reveal internal architecture weaknesses. Additionally, by modifying health check results or status reports, an adversary could mask malicious activities or trigger false alarms that disrupt automated remediation processes. This capability aligns with CWE-209, which describes the generation of an error message containing sensitive information, and CWE-354, regarding improper validation of a certificate in applications relying on PKI for authentication if such mechanisms are involved in health checks. It also relates to CWE-778, insufficient logging or monitoring, as compromised data integrity undermines trust in automated health assessments that drive high availability decisions.
In the context of offensive security frameworks, this vulnerability maps to MITRE ATT&CK techniques involving local privilege escalation and data exfiltration from system processes. Specifically, it resembles T1059, Command and Scripting Interpreter usage if scripts are manipulated via the health framework, or more accurately T1074, Data Staged for Exfiltration, where attackers collect sensitive information before moving laterally. The requirement for physical access places this in the Physical Access category of attack vectors, emphasizing that logical defenses alone cannot mitigate risks posed by an insider threat or a physically compromised environment. Organizations must recognize that even low-privileged accounts with local network segment access can become powerful entry points when hardware-level security is bypassed through adjacent communication channels.
Mitigation strategies should focus on both technical controls and physical security enhancements. Oracle has likely released patches for the affected versions, so immediate application of vendor-supplied updates is the primary remediation step. Administrators must ensure that all instances of Oracle Autonomous Health Framework are updated to a version not listed in the supported vulnerable range. Beyond patching, organizations should enforce strict physical access controls around servers and network infrastructure hosting these components. Network segmentation strategies should be reviewed to limit low-privileged users' ability to attach unauthorized devices or sniff traffic on segments connected to critical health monitoring hardware. Additionally, implementing robust logging and integrity verification mechanisms for the Cluster Health Analyzer data can help detect tampering attempts early. Security teams should also conduct regular audits of physical access logs and monitor for anomalies in system health reports that might indicate manipulation by an insider with local segment access.