CVE-2025-21565 is a high-severity vulnerability in the Oracle Agile PLM Framework, specifically affecting version 9.3.6. This vulnerability allows unauthenticated attackers with network access via HTTP to compromise the system, leading to unauthorized access to critical data. Given the potential impact, organizations using this version must prioritize remediation.
The CVSS 3.1 base score for this vulnerability is 7.5, indicating substantial risk due to high confidentiality impacts. The vulnerability's exploitability score is rated at 3.9, emphasizing the ease with which it can be exploited.
Organizations should prioritize patching immediately to safeguard against potential unauthorized access to sensitive data. Failure to address this vulnerability could lead to significant data breaches.
The urgency for defenders is heightened given the easily exploitable nature of this vulnerability, which can compromise entire frameworks if left unaddressed.
Vulnerability Details
This vulnerability allows unauthenticated attackers to exploit the Oracle Agile PLM Framework product of Oracle Supply Chain (component: Install). The CVSS score of 7.5 indicates a high severity level due to high confidentiality impacts. The affected product version is 9.3.6, and it was published on January 21, 2025. The vulnerability is classified as CWE-863.
Technical Analysis
The root cause of this vulnerability stems from inadequate authentication mechanisms allowing unauthenticated access to the Oracle Agile PLM Framework. The attack vector is network-based, requiring low complexity for exploitation. No privileges are required, and user interaction is not necessary.
The confidentiality impact is rated as high, with no integrity or availability impact noted. This indicates that while sensitive information can be accessed, the overall functionality of the system remains unaffected.
Risk & Impact Analysis
Risk to organizations includes unauthorized access to critical data, which could lead to significant operational disruptions and data breaches. The blast radius potential is considerable, affecting any organization utilizing the Oracle Agile PLM Framework version 9.3.6.
Given the CVSS score of 7.5 and high exploitability, organizations must address this vulnerability in their priority patch cycle to prevent unauthorized access.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The specific version affected by this vulnerability is Oracle Agile PLM Framework version 9.3.6. Organizations running this version should take immediate action to patch.
Mitigation & Remediation
Oracle has released patches to remediate this vulnerability. Organizations should upgrade to the latest version of the Oracle Agile PLM Framework. If patching is not immediately feasible, ensure that network access to the affected system is restricted.
Organizations may also consider implementing additional security controls, such as network segmentation, to mitigate the risks associated with this vulnerability.
Continuous penetration testing can also help in identifying similar vulnerabilities in the future.
Detection Guidance
Organizations should monitor logs for any unauthorized access attempts or unusual activity related to the Oracle Agile PLM Framework. Behavioral anomalies may indicate attempts to exploit this vulnerability.
Network signatures should be updated to detect any unauthorized traffic patterns associated with this vulnerability.
AppSecure Threat Intelligence Insight
This vulnerability represents a significant risk for organizations using Oracle Agile PLM Framework. Security teams should be vigilant in monitoring for similar vulnerabilities and enhancing their security posture.
Vulnerability management programs should be designed to proactively address such vulnerabilities.
Penetration testing methodologies should be reviewed and updated regularly to ensure they encompass vulnerabilities like CVE-2025-21565.
Security testing best practices should be implemented to strengthen defenses against similar threats.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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