CVE-2026-87256 in Agile PLM
Summary
by MITRE • 09/16/2026
Vulnerability in the Oracle Agile PLM product of Oracle Supply Chain (component: Application Server). The supported version that is affected is 9.3.6. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Agile PLM. While the vulnerability is in Oracle Agile PLM, 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 Agile PLM accessible data. CVSS 3.1 Base Score 7.7 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N).
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Analysis
by VulDB Data Team • 09/16/2026
The identified vulnerability resides within the Application Server component of Oracle Agile Product Lifecycle Management, specifically affecting version 9.3.6. This software is a critical enterprise solution used for managing product data and processes across supply chains. The flaw presents an easily exploitable entry point that requires only low-privileged access and network connectivity via HTTP to trigger. Although the vulnerability is technically located within Oracle Agile PLM, its exploitation can lead to significant scope changes, potentially impacting additional products or systems connected to or dependent on this platform due to shared infrastructure or data integration points. This characteristic highlights the risk of lateral movement in complex enterprise environments where a compromise in one module can cascade into broader system failures.
From a technical perspective, the vulnerability allows an attacker with low privileges and network access through HTTP to gain unauthorized control over sensitive information. The absence of user interaction requirements means that automated tools can be used to exploit this flaw without needing social engineering or physical presence. The primary impact is categorized under confidentiality violations, as indicated by the high severity score. Successful exploitation enables attackers to read critical data stored within the Oracle Agile PLM environment. This could include sensitive intellectual property, supplier details, manufacturing specifications, and other proprietary information that forms the core value of such lifecycle management systems.
The operational impact of this vulnerability is severe for organizations relying on Oracle Agile PLM for their supply chain operations. Unauthorized access to critical data can lead to competitive disadvantage if trade secrets are leaked or regulatory non-compliance issues arise from exposed personal data. Furthermore, while the current assessment focuses on confidentiality impacts with no immediate indication of integrity or availability compromise in this specific vector, complete access to all accessible data poses a foundational risk. Attackers could potentially use this information as a stepping stone for further attacks against other systems within the network perimeter, leveraging the trusted relationship between Agile PLM and downstream ERP or manufacturing execution systems.
In terms of industry standards classification, this vulnerability aligns with CWE-200, which covers Exposure of Sensitive Information to an Unauthorized Actor. The attack vector corresponds to ATT&CK technique T1539, Steal Web Session Cookie, if session hijacking is involved, or more broadly to data exfiltration techniques under the Exfiltration phase. Given the low privilege requirement and network accessibility, it also reflects weaknesses in access control mechanisms that fail to properly restrict sensitive endpoints based on user role. The CVSS 3.1 base score of 7.7 underscores the critical nature of this flaw due to its high confidentiality impact combined with easy exploitability.
Mitigation strategies should prioritize immediate patching if Oracle has released a security update for version 9.3.6 or later versions that address this specific Application Server issue. In cases where patching is not immediately feasible, organizations must implement strict network segmentation to isolate the Agile PLM servers from untrusted networks and enforce robust access control policies. Web Application Firewalls should be configured to detect and block anomalous HTTP requests targeting known vulnerable endpoints. Additionally, monitoring for unusual data retrieval patterns or unauthorized access attempts can help in early detection of exploitation activities. Regular audits of user privileges are essential to ensure that low-privileged accounts do not have unnecessary access to sensitive application components.