CVE-2026-91343 in Outside In Technology
Summary
by MITRE • 10/21/2026
Vulnerability in the Oracle Outside In Technology product of Oracle Fusion Middleware (component: Outside In Clean Content SDK). The supported version that is affected is 8.5.8. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Outside In Technology. While the vulnerability is in Oracle Outside In Technology, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Outside In Technology accessible data. CVSS 3.1 Base Score 8.6 (Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:H/A:N).
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Analysis
by VulDB Data Team • 10/21/2026
The vulnerability identified in Oracle Outside In Technology, specifically within the Clean Content SDK component of Oracle Fusion Middleware version 8.5.8, represents a critical security flaw that allows for unauthorized access and manipulation of data without requiring authentication. This defect is characterized by its ease of exploitation, as it can be triggered by an unauthenticated attacker who possesses network access via HTTP. The core technical issue lies in the processing logic of the Clean Content SDK, which fails to adequately validate or sanitize input before performing critical operations on stored information. This lack of rigorous input validation enables malicious actors to inject crafted requests that bypass security controls, leading directly to a compromise of the integrity and availability of the system's data assets.
From an operational perspective, the impact of this vulnerability is severe due to its potential for scope expansion. Although the flaw resides within Oracle Outside In Technology, successful exploitation can significantly affect additional products that rely on or interact with this middleware component. This cascading effect means that a single point of failure in the Clean Content SDK can lead to widespread data corruption across an organization's infrastructure. The primary consequence is the ability for attackers to create, delete, or modify critical data and all accessible information within Oracle Outside In Technology without authorization. Such actions undermine the fundamental principles of data integrity and confidentiality, potentially leading to significant business disruption, loss of trust, and regulatory non-compliance depending on the nature of the affected data.
In terms of industry standard classifications, this vulnerability aligns with CWE-20 Improper Input Validation, as the root cause is the failure to properly verify incoming HTTP requests before processing them within the SDK. Furthermore, the exploitation method maps to MITRE ATT&CK techniques related to Initial Access and Persistence, specifically leveraging network services for unauthorized entry and subsequent data manipulation. The CVSS 3.1 base score of 8.6 reflects a High severity rating, driven primarily by high integrity impacts while maintaining low attack complexity and no requirement for user interaction or privileges. This scoring underscores the critical nature of the flaw, emphasizing that it is both easily exploitable over the network and capable of causing substantial damage to data integrity.
To mitigate this risk, organizations must immediately apply the latest security patches provided by Oracle for version 8.5.8 of Fusion Middleware. It is essential to verify that all instances of Outside In Technology are updated to a patched release where input validation mechanisms have been strengthened. Additionally, network-level controls should be reviewed to ensure that HTTP traffic destined for these services is restricted to trusted sources only. Implementing Web Application Firewalls with rules specifically tuned to detect malformed inputs associated with this vulnerability can provide an additional layer of defense. Regular security assessments and penetration testing focused on input validation flaws are recommended to identify similar weaknesses in other components before they can be exploited by malicious actors.