Cyber Resilience

CVE-2023-33832

Race Condition in Ibm Spectrum Protect Client 8.1.0.0 – 8.1.17.0

Published
19 July 2023
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 6.2
Click a component to see what it means
Raw vectorCVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0013 3th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2023-33832 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Ibm Spectrum Protect Client. Its CVSS base score is 6.2 (Medium).

Operationally, ranked at the 3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

IBM Spectrum Protect 8.1.0.0 through 8.1.17.0 could allow a local user to cause a denial of service due to due to improper time-of-check to time-of-use functionality. IBM X-Force ID: 256012.

CWE(s)

Related Threats

CVEs Like This One

CVE-2023-26273Same product: Linux Linux Kernel
CVE-2023-40699Same product: Ibm Aix
CVE-2023-47705Same product: Ibm Aix
CVE-2023-42031Same product: Ibm Aix
CVE-2023-50308Same product: Ibm Aix
CVE-2023-47141Same product: Ibm Aix
CVE-2023-45193Same product: Ibm Aix
CVE-2023-27871Same product: Linux Linux Kernel
CVE-2023-35893Same product: Linux Linux Kernel
CVE-2023-26274Same product: Linux Linux Kernel

Affected Assets

ibm
spectrum protect client
8.1.0.0 — 8.1.17.0
ibm
spectrum protect for space management
8.1.0.0 — 8.1.17.0
ibm
spectrum protect for virtual environments
8.1.0.0 — 8.1.17.0

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)
  • 6 hardening rules · 3 OS baselines
Validate
Prove the fix (OWASP ASVS)
  • V15.4.2
  • V17.2.6

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-367

Timestamps meeting UTC or offset standards help identify TOCTOU issues through precise chronological reconstruction of check/use operations.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

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 require and enforce input validation during development.

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.

detects

Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.

prevents

Secure-coding guidelines and mandatory security testing (including code scans) compel developers to validate and sanitize inputs at design and implementation time, lowering the incidence of malformed or malicious data reaching downstream components.

prevents

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

prevents

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

none

Reliable, synchronized time across systems narrows the exploitable window in which a resource state can change between a security check and its use.

References