Cyber Resilience

CVE-2024-21210

Oracle Jdk 1.8.0 … 23

Published
15 October 2024
Modified
03 November 2025
Patch / advisory
CVSS Score v3.1 3.7
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N
EPSS Score 0.0081 54th percentile
Risk Priority 34 floored blend · peak EPSS

Summary

CVE-2024-21210 is a low-severity Observable Discrepancy (CWE-203) vulnerability in Oracle Jdk. Its CVSS base score is 3.7 (Low).

Operationally, exploitation aligns with the MITRE ATT&CK technique Account Discovery (T1087); ranked in the top 46% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to IA-6 (Authentication Feedback) and SI-11 (Error Handling) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

Vulnerability in Oracle Java SE (component: Hotspot). Supported versions that are affected are Oracle Java SE: 8u421, 8u421-perf, 11.0.24, 17.0.12, 21.0.4 and 23. Difficult to exploit vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise Oracle Java…

more

SE. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Java SE accessible data. Note: This vulnerability can be exploited by using APIs in the specified Component, e.g., through a web service which supplies data to the APIs. This vulnerability also applies to Java deployments, typically in clients running sandboxed Java Web Start applications or sandboxed Java applets, that load and run untrusted code (e.g., code that comes from the internet) and rely on the Java sandbox for security. CVSS 3.1 Base Score 3.7 (Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N).

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1087 Account Discovery Discovery
Adversaries may attempt to get a listing of valid accounts, usernames, or email addresses on a system or within a compromised environment.
T1110 Brute Force Credential Access
Adversaries may use brute force techniques to gain access to accounts when passwords are unknown or when password hashes are obtained.
T1595 Active Scanning Reconnaissance
Adversaries may execute active reconnaissance scans to gather information that can be used during targeting.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-21208Same product: Oracle Jdk
CVE-2024-21251Same vendor: Oracle
CVE-2026-21947Same product: Oracle Jdk
CVE-2026-47057Same product: Oracle Jdk
CVE-2026-47011Same vendor: Oracle
CVE-2026-47058Same product: Oracle Jdk
CVE-2024-21233Same vendor: Oracle
CVE-2024-21206Same vendor: Oracle
CVE-2026-22008Same product: Oracle Jdk
CVE-2026-47035Same product: Oracle Jdk

Affected Assets

oracle
jdk
1.8.0, 11.0.24, 17.0.12, 21.0.4, 23
oracle
jre
1.8.0, 11.0.4, 17.0.12, 21.0.4, 23

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)
  • 1 hardening rule · 1 OS baseline
Validate
Prove the fix (OWASP ASVS)

Mitigating Controls (NIST 800-53 r5) AI

Obscures authentication feedback so that success/failure differences are not observable to attackers.

Requires error messages to avoid revealing exploitable details, directly stopping observable response discrepancies.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly prevent observable response discrepancies via consistent error handling and timing.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

none

Accurate, synchronized timestamps reduce observable timing discrepancies that an attacker could exploit to infer sensitive information or distinguish between success and failure paths.

References