CVE-2026-70852 in Demand Planning
Summary
by MITRE • 08/19/2026
Vulnerability in the Oracle Demand Planning product of Oracle Supply Chain (component: Internal Operations). Supported versions that are affected are 12.1 and 12.2. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Demand Planning. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Demand Planning accessible data as well as unauthorized update, insert or delete access to some of Oracle Demand Planning accessible data. CVSS 3.1 Base Score 8.2 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N).
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Analysis
by VulDB Data Team • 08/19/2026
The identified vulnerability resides within the Internal Operations component of Oracle Demand Planning, a critical module in the Oracle Supply Chain Management suite affecting versions 12.1 and 12.2. This security flaw represents a significant risk to organizations relying on these specific releases for their supply chain forecasting and planning operations. The core issue stems from insufficient access control mechanisms within the internal operational interfaces of the application, which fail to properly validate authentication credentials before processing incoming requests. Consequently, an attacker who possesses network connectivity to the affected system can exploit this weakness without needing valid user accounts or prior authentication. This characteristic classifies the vulnerability as a broken access control flaw where the security boundary is effectively bypassed through direct interaction with internal endpoints that should be restricted to authenticated and authorized personnel only.
From a technical perspective, the exploitation vector relies on network accessibility via HTTP, indicating that the vulnerable components are exposed over standard web protocols without adequate protective measures such as strict IP whitelisting or additional authentication layers at the infrastructure level. The attacker can craft specific requests targeting these internal operations endpoints to trigger unauthorized actions within the application logic. Because the vulnerability allows for both reading and modifying data, it impacts two primary pillars of information security: confidentiality and integrity. An adversary leveraging this flaw can extract sensitive business intelligence stored in Oracle Demand Planning, including supplier contracts, inventory levels, production schedules, and financial forecasts. Furthermore, the ability to perform unauthorized updates, inserts, or deletions means that an attacker could manipulate critical planning data, potentially leading to severe operational disruptions, incorrect procurement decisions, or deliberate sabotage of supply chain workflows.
The impact assessment aligns with a CVSS 3.1 Base Score of 8.2, categorized as High severity due to the high confidentiality impact and low integrity impact, with no effect on availability in this specific vector description. This score reflects the ease of exploitation given that the attack complexity is low and requires no user interaction or privileges beyond network access. In terms of industry standard classifications, this vulnerability maps closely to CWE-287 Improper Authentication and CWE-918 Server-Side Request Forgery if internal endpoints are being accessed indirectly, though it primarily falls under CWE-862 Missing Authorization which allows unauthenticated users to perform privileged functions. The ATT&CK framework categorizes such behavior under the Initial Access tactic via Valid Accounts or Exploitation of Remote Services, and specifically relates to techniques involving unauthorized access to data stores for exfiltration or modification.
The operational impact extends beyond immediate data compromise. Oracle Demand Planning serves as a central hub for coordinating supply chain activities; therefore, tampering with its data can cascade into broader business failures. Unauthorized deletion of demand forecasts could lead to stockouts and lost revenue, while unauthorized updates might result in overproduction and increased holding costs. The exposure of critical data also poses significant compliance risks for organizations subject to regulations such as GDPR or SOX, where the integrity and confidentiality of financial and operational records are mandated. Attackers may use this access not only for immediate theft but also as a foothold for further lateral movement within the enterprise network if other systems trust the compromised Oracle instance’s data context.
Mitigation strategies must address both the software defect and the surrounding infrastructure configuration. The primary remediation is to apply the latest security patches provided by Oracle, which resolve the underlying code flaws in the Internal Operations component of versions 12.1 and 12.2. Organizations should verify their patch levels immediately against Oracle Critical Patch Update advisories relevant to these product lines. In addition to software updates, network segmentation plays a crucial role in reducing exposure. The HTTP endpoints associated with Oracle Demand Planning internal operations should not be directly accessible from untrusted networks such as the public internet. Implementing strict firewall rules to restrict access to authorized management IPs or placing the application behind an authenticated reverse proxy can significantly reduce the attack surface. Furthermore, enabling comprehensive logging and monitoring for unauthorized access attempts will aid in early detection of exploitation activities, allowing security teams to respond before significant data loss occurs.