Cyber Resilience

CVE-2024-21233

Oracle Database Server 19.3 – 19.24

Published
15 October 2024
Modified
31 October 2024
Patch / advisory
View advisory
CVSS Score v3.1 4.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
EPSS Score 0.0042 35th percentile
Risk Priority 37 floored blend · peak EPSS

Summary

CVE-2024-21233 is a medium-severity Observable Discrepancy (CWE-203) vulnerability in Oracle Database Server. Its CVSS base score is 4.3 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Account Discovery (T1087); ranked at the 35th percentile by exploit likelihood (below the median); 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 the Oracle Database Core component of Oracle Database Server. Supported versions that are affected are 19.3-19.24, 21.3-21.15 and 23.4-23.5. Easily exploitable vulnerability allows low privileged attacker having Create Session privilege with network access via Oracle Net to compromise…

more

Oracle Database Core. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Database Core accessible data. CVSS 3.1 Base Score 4.3 (Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N).

CWE(s)
NVD-CWE-noinfoCWE-203

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.
attack.mitre.org →
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.
attack.mitre.org →
T1595 Active Scanning Reconnaissance
Adversaries may execute active reconnaissance scans to gather information that can be used during targeting.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-21251Same product: Oracle Database Server
CVE-2025-53047Same product: Oracle Database Server
CVE-2024-20995Same product: Oracle Database Server
CVE-2026-47061Same product: Oracle Database Server
CVE-2026-47045Same product: Oracle Database Server
CVE-2023-22075Same product: Oracle Database Server
CVE-2023-22077Same product: Oracle Database Server
CVE-2026-47040Same product: Oracle Database Server
CVE-2023-22034Same product: Oracle Database Server
CVE-2023-21893Same product: Oracle Database Server

Affected Assets

oracle
database server
23.4, 23.5 · 19.3 — 19.24 · 21.3 — 21.15

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

IA-6 Authentication Feedback good match

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

SI-11 Error Handling good match

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.

A.8.17 Clock synchronization none match
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