CVE-2026-70766 in Hyperion Financial Reporting
Summary
by MITRE • 08/19/2026
Vulnerability in the Oracle Hyperion Financial Reporting product of Oracle Hyperion (component: Server). The supported version that is affected is 11.2.25.0.000. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Hyperion Financial Reporting. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Hyperion Financial Reporting accessible data as well as unauthorized read access to a subset of Oracle Hyperion Financial Reporting accessible data. CVSS 3.1 Base Score 5.4 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N).
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Analysis
by VulDB Data Team • 08/19/2026
The identified vulnerability resides within the Oracle Hyperion Financial Reporting server component, specifically affecting version 11.2.25.0.000 and potentially other supported releases in that lineage. This security flaw is classified as an easily exploitable issue that permits unauthenticated attackers to compromise the integrity and confidentiality of the application through network access via HTTP. The attack vector is remote, meaning no physical or local access to the target system is required for exploitation. However, a critical constraint on this vulnerability is the requirement for human interaction; successful exploitation necessitates that a user other than the attacker must perform an action, such as clicking a malicious link or opening a crafted document, which aligns with social engineering tactics often employed in targeted attacks against enterprise environments.
From a technical perspective, the flaw allows for unauthorized modifications to data accessible by Oracle Hyperion Financial Reporting, including updates, inserts, and deletes. This indicates a weakness in input validation or access control mechanisms that fail to properly sanitize user-supplied data before processing it within the server's logic. Additionally, the vulnerability grants unauthorized read access to a subset of accessible data, suggesting that sensitive financial reports or configuration details can be exfiltrated by an attacker who successfully triggers the exploit through victim interaction. The combination of write and read capabilities significantly elevates the risk profile, as attackers not only steal information but also alter critical business records, potentially leading to fraudulent reporting or operational disruption.
The impact assessment aligns with a CVSS 3.1 Base Score of 5.4, reflecting moderate severity driven by low attack complexity and no required privileges for the attacker, balanced against the need for user interaction and limited availability impact. The confidentiality and integrity impacts are rated as Low to Medium depending on the sensitivity of the specific data accessed or modified. This vulnerability maps closely to CWE-79, which covers Cross-Site Scripting (XSS) if the vector involves browser-based interactions, or potentially CWE-20 for Improper Input Validation if it involves server-side parsing errors. In terms of offensive security frameworks, this behavior is consistent with MITRE ATT&CK techniques involving Drive-by Code Execution or Phishing via Social Engineering, where initial access is gained through user deception rather than direct technical exploitation of a service port without interaction.
Mitigation strategies must focus on both immediate remediation and long-term architectural improvements. The primary defense is the application of the latest security patches provided by Oracle for Hyperion Financial Reporting version 11.2.25.0.000, as vendor updates typically address these specific input validation flaws. Organizations should also implement strict network segmentation to limit HTTP access to the financial reporting server from untrusted networks or users who do not require it. Enforcing multi-factor authentication and monitoring for unusual user activity can help detect attempts at social engineering that precede exploitation. Furthermore, deploying web application firewalls with rulesets tuned to detect common injection patterns may provide an additional layer of defense against automated exploitation tools targeting this vulnerability class.