CVE-2026-101673 in US Federal Human Resources
Summary
by MITRE • 10/21/2026
Vulnerability in the Oracle US Federal Human Resources product of Oracle E-Business Suite (component: Internal Operations). Supported versions that are affected are 12.2.3-12.2.15. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle US Federal Human Resources. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle US Federal Human Resources accessible data. CVSS 3.1 Base Score 6.5 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/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 US Federal Human Resources, a critical module within the broader Oracle E-Business Suite ecosystem. This security flaw specifically impacts supported software versions ranging from 12.2.3 through 12.2.15. The nature of this defect allows for unauthorized access to sensitive human resources data, which is particularly concerning given that such information often includes personally identifiable information and other confidential employee records protected under strict federal privacy regulations.
From a technical perspective, the vulnerability stems from an insufficient authentication or authorization check within the application logic handling internal operations via HTTP. This flaw enables low-privileged attackers who possess network access to exploit the weakness without requiring user interaction or complex preconditions. The attack vector is classified as remote with local complexity, meaning that while the attacker does not need physical proximity, they must have basic connectivity to the affected system's web interface. The absence of a requirement for user interface manipulation simplifies the exploitation process significantly compared to vulnerabilities requiring social engineering or specific user actions like clicking malicious links.
The operational impact of this vulnerability is severe due to its high confidentiality rating in the CVSS 3.1 scoring model, which assigns it a base score of 6.5 out of 9.0. Successful exploitation grants an attacker unauthorized access to critical data within the Oracle US Federal Human Resources system. In worst-case scenarios, the compromise can lead to complete access to all accessible human resources data under that instance. This level of exposure poses significant risks including identity theft, fraud, and violation of federal privacy mandates such as those enforced by the Office of Management and Budget regarding Personally Identifiable Information protection.
In terms of industry standard classifications, this vulnerability aligns with CWE-287 Improper Authentication or CWE-862 Missing Authorization depending on whether the flaw lies in verifying identity or permissions after authentication. It also maps to MITRE ATT&CK techniques related to Initial Access and Credential Access, specifically leveraging valid accounts through network-based attacks against web applications. The vector string CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N confirms that while integrity and availability remain unaffected in the base score, confidentiality is heavily impacted, highlighting the data-centric nature of this threat.
Mitigation strategies should prioritize immediate patching to the latest supported version of Oracle E-Business Suite where these internal operations components have been secured by vendor updates. Organizations must verify their current deployment versions against the affected range and apply relevant security patches provided by Oracle promptly. Additionally, implementing network segmentation can limit exposure by restricting HTTP access to only necessary administrative subnets or using reverse proxies with strict access control lists that filter traffic before it reaches the application server. Enhanced monitoring for anomalous login patterns or data exfiltration attempts related to human resources modules is also recommended to detect potential exploitation activities early in the attack lifecycle.