CVE-2026-61048info

Summary

by MITRE • 07/22/2026

Vulnerability in the Oracle Inventory Optimization product of Oracle E-Business Suite (component: User Interface). Supported versions that are affected are 12.2.3-12.2.15. Difficult to exploit vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Inventory Optimization. Successful attacks of this vulnerability can result in unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Inventory Optimization. CVSS 3.1 Base Score 3.1 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L).

VulDB is the best source for vulnerability data and more expert information about this specific topic.

Analysis

by VulDB Data Team • 07/22/2026

This vulnerability resides within Oracle Inventory Optimization, a component of the Oracle E-Business Suite that manages inventory planning and optimization processes. The flaw exists specifically within the User Interface component of this product, affecting versions 12.2.3 through 12.2.15. The vulnerability classification as difficult to exploit indicates that while the attack vector is accessible over HTTP network connections, it requires specific conditions or circumstances to be successfully leveraged by an attacker. This represents a significant concern for organizations relying on Oracle E-Business Suite for their inventory management operations.

The technical nature of this vulnerability allows a low privileged attacker to compromise the Oracle Inventory Optimization functionality through HTTP network access without requiring any additional authentication or authorization. The CVSS 3.1 scoring system rates this vulnerability with a base score of 3.1, which falls into the low severity category, but specifically targets availability impacts with a partial denial of service condition. This means that successful exploitation would result in reduced functionality or partial disruption of the inventory optimization services rather than complete system failure. The attack vector is classified as network accessible (AV:N), requiring high complexity to exploit (AC:H), and only needing low privileges (PR:L) to execute successfully.

The operational impact of this vulnerability extends beyond simple service disruption, potentially affecting critical business operations that depend on accurate inventory planning and optimization. Organizations using Oracle Inventory Optimization for demand forecasting, stock level management, and supply chain coordination could experience partial service degradation that impacts their ability to maintain optimal inventory levels. This partial denial of service scenario could lead to stockouts, overstock situations, or disrupted supply chain planning processes that ultimately affect operational efficiency and customer satisfaction. The vulnerability's accessibility via HTTP network connections makes it particularly concerning for organizations with exposed web services or those operating in environments where network-level attacks are common.

Mitigation strategies should focus on implementing network segmentation to limit access to Oracle Inventory Optimization components, ensuring proper firewall rules are in place to restrict HTTP access only to authorized personnel and systems. Organizations should consider applying the latest security patches and updates from Oracle as soon as they become available, as these would address the underlying vulnerability. Additionally, implementing intrusion detection systems that monitor for unusual HTTP traffic patterns targeting Oracle E-Business Suite components could provide early warning of potential exploitation attempts. Regular security assessments and vulnerability scanning should include specific checks for Oracle Inventory Optimization components to identify any additional weaknesses in the system configuration or network architecture.

This vulnerability aligns with CWE-20 (Improper Input Validation) and CWE-1021 (Incorrect Behavior Order) categories, indicating that the flaw likely stems from inadequate validation of input parameters within the user interface component. From an ATT&CK framework perspective, this vulnerability maps to T1190 (Exploit Public-Facing Application) and T1499.004 (Endpoint Denial of Service), representing how attackers can leverage publicly accessible web applications to achieve availability impacts. Organizations should also consider implementing application-level security controls such as input sanitization, parameter validation, and robust access control mechanisms to further reduce the attack surface for this type of vulnerability.

Disclosure

07/22/2026

Moderation

in review

EPSS

0.00000

KEV

no

Activities

very low

Sources

Do you want to use VulDB in your project?

Use the official API to access entries easily!