CVE-2026-70728 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 low privileged attacker with network access via HTTP 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 access to critical data or complete access to all Oracle Autonomous Health Framework accessible data as well as unauthorized update, insert or delete access to some of Oracle Autonomous Health Framework accessible data. CVSS 3.1 Base Score 8.5 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N).
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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 flaw that permits unauthorized access and modification of sensitive system data. This vulnerability affects multiple supported versions including 26-26.1.0, 26.2.0, 26.3.1, 26.5.0, and 26.5.2. The core issue stems from insufficient access control mechanisms within the Trace File Analyzer interface, which is accessible via HTTP. This architectural oversight allows a low-privileged attacker who has network connectivity to the affected system to exploit the flaw without requiring user interaction or complex preconditions. The ease of exploitation combined with the relatively low privilege requirement makes this vulnerability particularly dangerous in enterprise environments where internal networks may not be strictly segmented from lower-trust zones.
From a technical perspective, the vulnerability aligns with CWE-269 Improper Privilege Management and CWE-862 Missing Authorization. The Trace File Analyzer component fails to properly verify whether an authenticated user has sufficient privileges to perform specific actions on trace files or system configurations. Because the interface is exposed over HTTP rather than HTTPS in many default or legacy deployments, the communication channel may also be susceptible to interception if not protected by additional network-level encryption, although the primary flaw is authorization-based. The attacker can leverage this weakness to bypass intended security restrictions, effectively elevating their capabilities beyond what was originally granted during authentication. This represents a classic case of broken access control where the system trusts client-supplied input or session tokens without validating them against backend permission policies for every sensitive operation.
The operational impact of exploiting this vulnerability is severe and multifaceted. Successful exploitation results in high confidentiality impact, allowing attackers to read critical data stored within the Oracle Autonomous Health Framework. This includes diagnostic logs, performance metrics, and potentially other metadata that could reveal internal architecture details or sensitive business information. Furthermore, there are significant integrity impacts as authenticated users with low privileges can perform unauthorized updates, inserts, or deletes on accessible data. This capability enables an attacker to alter system configurations, delete crucial log files to cover their tracks, or inject malicious data into the analysis pipeline. The scope change noted in the advisory indicates that while the flaw resides in the Autonomous Health Framework, the consequences ripple outward, potentially compromising adjacent Oracle products and services that rely on this framework for health monitoring and diagnostics.
In terms of threat modeling, this vulnerability maps to MITRE ATT&CK techniques such as T1078 Valid Accounts, where attackers use legitimate credentials with insufficient privileges to gain unauthorized access, and T1530 Data from Local System, involving the exfiltration or manipulation of data stored on local systems. The network-based nature of the attack vector (AV:N) means that remote exploitation is feasible without physical access or prior compromise of a host within the internal network segment where the service resides. This increases the risk surface significantly in cloud-native or virtualized deployments where services are often exposed to broader network ranges for management purposes.
Mitigation strategies must prioritize immediate patching and configuration hardening. Organizations running any of the affected versions should apply the latest security patches provided by Oracle as soon as possible, ensuring that the Trace File Analyzer component is updated to a version where access controls have been remediated. In addition to patching, it is critical to review network segmentation policies. The HTTP interface for the Autonomous Health Framework should not be exposed directly to untrusted networks or the public internet. Access should be restricted to specific management subnets using firewalls and ACLs that limit source IP addresses to authorized administrative hosts only. Enforcing HTTPS with strong certificate validation can also mitigate risks associated with credential interception, although it does not resolve the underlying authorization flaw. Regular audits of user privileges within Oracle Autonomous Health Framework are recommended to ensure adherence to the principle of least privilege, ensuring that service accounts and application users have only the minimum permissions necessary for their functions. Continuous monitoring of access logs for anomalous patterns can help detect exploitation attempts in real-time before significant damage occurs.