Cyber Resilience

CVE-2023-25529

Nvidia Dgx H100 Firmware ≤ 23.08.18

Published
20 September 2023
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 8.0
Click a component to see what it means
Raw vectorCVSS:3.1/AV:A/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:N
EPSS Score 0.0052 41th percentile
Risk Priority 57 floored blend · peak EPSS

Summary

CVE-2023-25529 is a high-severity Observable Timing Discrepancy (CWE-208) vulnerability in Nvidia Dgx H100 Firmware. Its CVSS base score is 8.0 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Password Guessing (T1110.001); ranked at the 41th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability Data

NVIDIA DGX H100 BMC and DGX A100 BMC contains a vulnerability in the host KVM daemon, where an unauthenticated attacker may cause a leak of another user’s session token by observing timing discrepancies between server responses. A successful exploit of…

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this vulnerability may lead to information disclosure, escalation of privileges, and data tampering.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1110.001 Password Guessing Credential Access
Adversaries with no prior knowledge of legitimate credentials within the system or environment may guess passwords to attempt access to accounts.
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.
T1087.001 Local Account Discovery
Adversaries may attempt to get a listing of local system accounts.
T1087.002 Domain Account Discovery
Adversaries may attempt to get a listing of domain accounts.
T1087.003 Email Account Discovery
Adversaries may attempt to get a listing of email addresses and accounts.
T1087.004 Cloud Account Discovery
Adversaries may attempt to get a listing of cloud accounts.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-25528Same product: Nvidia Dgx H100
CVE-2023-25533Same product: Nvidia Dgx H100
CVE-2023-25530Same product: Nvidia Dgx H100
CVE-2023-31009Same product: Nvidia Dgx H100
CVE-2023-31010Same product: Nvidia Dgx H100
CVE-2023-25534Same product: Nvidia Dgx H100
CVE-2023-25531Same product: Nvidia Dgx H100
CVE-2023-31012Same product: Nvidia Dgx H100
CVE-2023-25527Same product: Nvidia Dgx H100
CVE-2023-31011Same product: Nvidia Dgx H100

Affected Assets

nvidia
dgx h100 firmware
≤ 23.08.18

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)
  • V11.2.4

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-203 CWE-208

Misdirection can normalize or falsify responses to eliminate observable discrepancies that aid reconnaissance.

addresses: CWE-208 CWE-203

Observable timing discrepancies are a primary mechanism for constructing covert timing channels; analysis identifies and bounds them, limiting exploitation.

addresses: CWE-203

Prevents attackers from using observable differences in error responses to infer internal system details or state.

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 constant-time implementations that eliminate observable timing discrepancies.

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

Consistent reference clocks limit the attacker's ability to measure or manipulate timing differences that could reveal internal state or processing paths.

References