CVE-2026-83332 in Applications Framework
Summary
by MITRE • 09/16/2026
Vulnerability in the Oracle Applications Framework product of Oracle E-Business Suite (component: Personalization). Supported versions that are affected are 12.2.9-12.2.15. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Applications Framework. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Applications Framework accessible data as well as unauthorized update, insert or delete access to some of Oracle Applications Framework accessible data. CVSS 3.1 Base Score 7.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N).
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Analysis
by VulDB Data Team • 09/16/2026
The identified vulnerability resides within the Personalization component of Oracle Applications Framework, a core part of Oracle E-Business Suite versions 12.2.9 through 12.2.15. This security flaw is classified as an authorization bypass or improper access control issue, allowing attackers to manipulate application behavior in ways that were not intended by the system administrators. The vulnerability stems from insufficient validation of user privileges when processing personalization requests over HTTP. In a properly secured environment, only users with specific administrative or elevated roles should be able to modify framework configurations or access sensitive data structures through these channels. However, due to this flaw, low-privileged attackers who possess valid network credentials can exploit the misconfiguration to escalate their effective permissions within the application context.
From an operational perspective, the impact of this vulnerability is significant for organizations relying on Oracle E-Business Suite for critical business processes. An attacker with basic user-level access and network connectivity via HTTP can compromise the confidentiality and integrity of data managed by the system. Specifically, successful exploitation enables unauthorized reading of critical data that should be restricted to higher-privileged roles. Furthermore, it allows for unauthorized modifications such as updates, inserts, or deletions against accessible data sets. This dual impact on both confidentiality and integrity means that sensitive business information can be exfiltrated while simultaneously being corrupted or deleted, potentially leading to severe operational disruptions and compliance violations.
The technical nature of this flaw aligns with CWE-269, which describes Improper Privilege Management, where a user is granted privileges they should not have based on their role. Additionally, the attack vector corresponds to ATT&CK technique T1078, Valid Accounts, as it leverages legitimate but low-level credentials to perform unauthorized actions. The CVSS 3.1 base score of 7.1 reflects the high impact on confidentiality and moderate impact on integrity, with no direct impact on availability in this specific scenario. The vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N) indicates that the attack is network-based, requires low complexity, needs only low privileges for the initial attacker, and does not require user interaction beyond having a valid account.
To mitigate this vulnerability, organizations must apply the latest security patches provided by Oracle for their specific E-Business Suite version. It is critical to ensure that all systems running versions 12.2.9 through 12.2.15 are updated to include the fixes released in subsequent patch sets or maintenance updates. Beyond patching, implementing strict network segmentation can help limit exposure by restricting HTTP access to Oracle Applications Framework components to trusted internal networks only. Additionally, enforcing multi-factor authentication and regularly auditing user privileges will reduce the risk of low-privileged accounts being compromised and used for lateral movement within the application layer. Monitoring logs for unusual personalization requests or data modification patterns from standard user accounts can also aid in early detection of exploitation attempts.