CVE-2026-101547 in Demand Planning
Summary
by MITRE • 10/21/2026
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 require human interaction from a person other than the attacker and while the vulnerability is in Oracle Demand Planning, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Demand Planning accessible data as well as unauthorized read access to a subset of Oracle Demand Planning accessible data. CVSS 3.1 Base Score 6.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N).
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Analysis
by VulDB Data Team • 10/21/2026
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 flaw represents a significant security risk as it allows for unauthorized access to sensitive supply chain data without requiring prior authentication from an external network perspective. The vulnerability is accessible via standard HTTP protocols, which implies that attackers do not need to bypass complex encryption or secure channel configurations to initiate their exploitation attempts. While the root cause lies within Oracle Demand Planning, the impact extends beyond this specific module due to shared underlying infrastructure and data models common across the broader Supply Chain applications. This scope change means that compromising one area can lead to cascading effects on other integrated products, amplifying the potential damage to an organization's operational integrity and data confidentiality.
From a technical standpoint, the flaw enables unauthenticated attackers with network access to perform unauthorized read operations on a subset of accessible data within Oracle Demand Planning. This capability directly compromises the confidentiality of proprietary business information such as demand forecasts, inventory levels, or supplier contracts stored in these tables. Furthermore, the vulnerability permits unauthorized update, insert, and delete actions against certain datasets. These integrity violations allow an attacker to alter existing records, inject malicious entries, or remove critical data points entirely. Such modifications can distort planning algorithms, leading to incorrect procurement decisions, production scheduling errors, or financial reporting inaccuracies. The combination of read and write access without authentication creates a severe risk profile where both the secrecy and accuracy of supply chain operations are jeopardized simultaneously.
The exploitation mechanics for this vulnerability require human interaction from a user other than the attacker, which classifies it under social engineering vectors in many threat models. This typically involves tricking an authenticated administrator or regular user into clicking on a malicious link or interacting with a crafted request that triggers the vulnerable code path within the application server. Although the requirement for user interaction raises the complexity of exploitation compared to fully automated remote code execution flaws, it remains highly feasible given the low attack cost and high accessibility via HTTP. The presence of this human-in-the-loop factor does not mitigate the severity because modern phishing techniques are sophisticated enough to reliably induce such interactions among target personnel. Consequently, organizations must treat this as a critical operational risk rather than merely a theoretical flaw.
In terms of industry standard classifications, this vulnerability aligns with CWE-287 Improper Authentication and CWE-94 SQL Injection if the underlying mechanism involves constructing queries from untrusted input without proper sanitization. The ability to modify data corresponds closely to CWE-798 Use of Hard-coded Credentials or CWE-601 URL Redirection to Untrusted Site, depending on the specific trigger mechanism, but primarily reflects a failure in access control enforcement for sensitive endpoints. Within the MITRE ATT&CK framework, this behavior maps to T1534 Internal Spearphishing if exploitation relies heavily on user interaction, and potentially T1190 Exploit Public-Facing Application given the HTTP accessibility. The scope change aspect highlights the importance of understanding application dependencies in enterprise environments where modular components share backend resources.
The operational impact of this vulnerability is substantial for any organization relying on Oracle Supply Chain Management for its logistics and planning activities. Unauthorized data access can lead to competitive disadvantage if strategic plans are leaked, while unauthorized modifications can disrupt supply chain continuity by altering inventory counts or demand signals incorrectly. This could result in stockouts, overstocking, missed delivery windows, and significant financial losses. Additionally, the integrity of audit trails may be compromised if attackers delete logs associated with their activities, hindering forensic investigations and compliance reporting efforts for regulations such as SOX or GDPR that require accurate data retention and protection.
Mitigation strategies must focus on immediate isolation and patching to reduce the attack surface. Organizations should apply the latest security patches provided by Oracle for versions 12.1 and 12.2, which address the underlying code flaws in the Internal Operations component. Until patches are applied, network-level controls such as Web Application Firewalls can be configured to block requests exhibiting patterns associated with this vulnerability's exploitation vectors. It is also advisable to restrict HTTP access to these specific endpoints by enforcing HTTPS-only connections and implementing strict IP whitelisting for administrative interfaces where possible. User awareness training should be enhanced to help personnel recognize suspicious links or interactions that could trigger the vulnerable code paths, thereby reducing the success rate of social engineering attempts required for exploitation. Regular vulnerability scanning focused on unauthenticated access points will also aid in detecting any residual exposure after remediation efforts are completed.