CVE-2019-2970 in Outside In Technologyinfo

Summary

by MITRE

Vulnerability in the Oracle Outside In Technology product of Oracle Fusion Middleware (component: Outside In Filters). The supported version that is affected is 8.5.4. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Outside In Technology. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Outside In Technology accessible data as well as unauthorized read access to a subset of Oracle Outside In Technology accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Outside In Technology. Note: Outside In Technology is a suite of software development kits (SDKs). The protocol and CVSS score depend on the software that uses the Outside In Technology code. The CVSS score assumes that the software passes data received over a network directly to Outside In Technology code, but if data is not received over a network the CVSS score may be lower. CVSS 3.0 Base Score 7.3 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L).

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Analysis

by VulDB Data Team • 01/09/2024

The vulnerability identified as CVE-2019-2970 resides within Oracle Outside In Technology, a comprehensive suite of software development kits that enable applications to process and convert various document formats. This particular flaw exists within the Outside In Filters component of Oracle Fusion Middleware, specifically affecting version 8.5.4 which remains supported. The vulnerability represents a critical security weakness that can be exploited by unauthenticated attackers who gain network access through HTTP protocols, making it particularly dangerous in environments where such services are exposed to external networks.

The technical nature of this vulnerability stems from insufficient input validation and sanitization within the Outside In Technology processing pipeline. When applications utilizing this technology receive data over network connections, the code fails to properly validate or sanitize incoming parameters, creating opportunities for malicious input manipulation. This weakness allows attackers to inject malformed data that can trigger unexpected behavior within the processing engine. The vulnerability's classification as easily exploitable indicates that minimal technical expertise or resources are required to leverage this flaw successfully, making it attractive to threat actors seeking automated exploitation methods.

The operational impact of this vulnerability extends across multiple security domains including confidentiality, integrity, and availability. Attackers can achieve unauthorized update, insert, or delete operations against data accessible through the affected Oracle Outside In Technology components, potentially leading to data corruption or manipulation. Additionally, the vulnerability enables unauthorized read access to specific subsets of accessible data, creating opportunities for information disclosure attacks. The partial denial of service capability further compounds the threat landscape by allowing attackers to disrupt service availability for portions of the affected systems. This multi-faceted impact aligns with CWE-20, which describes weaknesses related to improper input validation, and reflects the broader implications of insufficient sanitization controls within software processing pipelines.

Security professionals should consider this vulnerability in the context of ATT&CK framework's T1190 technique, which involves exploiting vulnerabilities in software applications to gain unauthorized access. The CVSS 3.0 scoring of 7.3 demonstrates a high severity level that requires immediate attention, particularly when the affected software passes network-received data directly to the vulnerable Outside In Technology code. Organizations must evaluate their specific implementations to determine if their software configurations would be susceptible to this attack vector, as the CVSS score assumes direct network data processing but may be reduced in environments where data processing occurs through different channels. Mitigation strategies should include immediate patching of affected systems, network segmentation to limit exposure, and implementation of additional input validation controls to reduce the attack surface.

Sources

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