JD Edwards EnterpriseOne Tools Web Runtime SEC Vuln: Prior to 9.2.9.0 (Unauth HTTP)
CVE-2025-21510 Published on January 21, 2025
Vulnerability in the JD Edwards EnterpriseOne Tools product of Oracle JD Edwards (component: Web Runtime SEC). Supported versions that are affected are Prior to 9.2.9.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise JD Edwards EnterpriseOne Tools. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all JD Edwards EnterpriseOne Tools accessible data. CVSS 3.1 Base Score 7.5 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N).
Vulnerability Analysis
CVE-2025-21510 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.
Weakness Type
What is a Side Channel Attack Vulnerability?
The product behaves differently or sends different responses under different circumstances in a way that is observable to an unauthorized actor, which exposes security-relevant information about the state of the product, such as whether a particular operation was successful or not. Discrepancies can take many forms, and variations may be detectable in timing, control flow, communications such as replies or requests, or general behavior. These discrepancies can reveal information about the product's operation or internal state to an unauthorized actor. In some cases, discrepancies can be used by attackers to form a side channel.
CVE-2025-21510 has been classified to as a Side Channel Attack vulnerability or weakness.
Products Associated with CVE-2025-21510
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Affected Versions
Oracle Corporation JD Edwards EnterpriseOne Tools:- Version * and below 9.2.9.0 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.