CVE-2017-10088 in Agile PLM
Summary
by MITRE
Vulnerability in the Oracle Agile PLM component of Oracle Supply Chain Products Suite (subcomponent: Security). Supported versions that are affected are 9.3.5 and 9.3.6. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle Agile PLM executes to compromise Oracle Agile PLM. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Agile PLM accessible data as well as unauthorized read access to a subset of Oracle Agile PLM accessible data. CVSS 3.0 Base Score 3.4 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N).
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Analysis
by VulDB Data Team • 05/08/2025
The vulnerability identified as CVE-2017-10088 resides within Oracle Agile PLM, a component of Oracle Supply Chain Products Suite that serves as a critical platform for product lifecycle management. This security flaw specifically affects versions 9.3.5 and 9.3.6 of the Agile PLM software, representing a significant concern for organizations relying on this platform for managing their product development and supply chain processes. The vulnerability operates within the Security subcomponent of Agile PLM, indicating that the flaw lies in how the system handles authentication, authorization, or access controls rather than in core functional components.
The technical nature of this vulnerability manifests as an easily exploitable weakness that requires only high privileged access to the underlying infrastructure where Oracle Agile PLM operates. This means that an attacker who has already gained administrative or elevated privileges on the host system can leverage this flaw to compromise the Agile PLM application itself. The vulnerability's classification as easily exploitable indicates that the attack vector is straightforward and does not require complex exploitation techniques or significant specialized knowledge. The CVSS 3.0 score of 3.4 reflects the moderate severity impact, with the attack vector being local (AV:L), requiring low complexity (AC:L), and needing high privileges (PR:H) to execute successfully.
From an operational perspective, successful exploitation of this vulnerability can result in substantial data compromise within the Agile PLM environment. Attackers can gain unauthorized access to perform update, insert, or delete operations on specific portions of the data accessible through the application. Additionally, the vulnerability enables unauthorized read access to a subset of the application's data, potentially exposing sensitive product information, development data, or supply chain details. The impact affects both confidentiality and integrity aspects of the information security triad, as attackers can both view sensitive data and modify existing records, potentially corrupting the product development lifecycle data or introducing malicious changes to product specifications.
Organizations utilizing Oracle Agile PLM versions 9.3.5 and 9.3.6 should implement immediate mitigation strategies to address this vulnerability. The most effective approach involves applying the official Oracle security patches released for this specific flaw, which would typically be included in their regular security updates or emergency patches. System administrators should also consider implementing additional network segmentation and access controls to limit the potential impact of compromise, ensuring that even if an attacker gains access to the host infrastructure, they cannot easily move laterally to the Agile PLM application. The vulnerability aligns with CWE-284 (Improper Access Control) and may be categorized under ATT&CK techniques related to privilege escalation and credential access, emphasizing the need for comprehensive security monitoring and access control validation. This vulnerability demonstrates the critical importance of maintaining up-to-date security patches and implementing robust access control measures in enterprise applications that handle sensitive business-critical data.