CVE-2022-31603
CVE-2022-31603 is a medium-severity vulnerability in Nvidia Dgx A100 Firmware with a CVSS 3.x base score of 6.4. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-129.
Key facts
- Severity: Medium (CVSS 3.x base score 6.4)
- CVSS v2: 4.4
- EPSS exploit prediction: 0% (11th percentile)
- Actively exploited: Not listed in CISA KEV
- Weakness: CWE-129
- Affected product: Nvidia Dgx A100 Firmware
- Published:
- Last modified:
Description
NVIDIA DGX A100 contains a vulnerability in SBIOS in the IpSecDxe, where a user with high privileges and preconditioned IpSecDxe global data can exploit improper validation of an array index to cause code execution, which may lead to denial of service, data integrity impact, and information disclosure.
Frequently asked questions
- What is CVE-2022-31603?
- NVIDIA DGX A100 contains a vulnerability in SBIOS in the IpSecDxe, where a user with high privileges and preconditioned IpSecDxe global data can exploit improper validation of an array index to cause code execution, which may lead to denial of service, data integrity impact, and information disclosure.
- How severe is CVE-2022-31603?
- CVE-2022-31603 has a CVSS 3.x base score of 6.4, rated medium severity. It is exploitable over local access with high attack complexity, requires high privileges and no user interaction. Impact on confidentiality is high, integrity high, and availability high.
- Is CVE-2022-31603 being actively exploited?
- It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (11th percentile), an estimate of the probability of exploitation in the next 30 days.
- What products are affected by CVE-2022-31603?
- CVE-2022-31603 affects Nvidia Dgx A100 Firmware. See the affected-products list for the exact vulnerable versions.
- How do I fix CVE-2022-31603?
- Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
- When was CVE-2022-31603 published?
- CVE-2022-31603 was published on 2022-07-04 and last updated on 2026-06-17.
References
Affected products (1)
- cpe:2.3:o:nvidia:dgx_a100_firmware:*:*:*:*:*:*:*:*
More vulnerabilities in Nvidia Dgx A100 Firmware
- CVE-2023-31030 — Critical (CVSS 9.3): NVIDIA DGX A100 BMC contains a vulnerability in the host KVM daemon, where an unauthenticated attacker may cause a…
- CVE-2023-31029 — Critical (CVSS 9.3): NVIDIA DGX A100 baseboard management controller (BMC) contains a vulnerability in the host KVM daemon, where an…
- CVE-2023-31024 — Critical (CVSS 9.0): NVIDIA DGX A100 BMC contains a vulnerability in the host KVM daemon, where an unauthenticated attacker may cause stack…
- CVE-2022-42271 — High (CVSS 8.4): NVIDIA BMC contains a vulnerability in IPMI handler, where an authorized attacker can cause a buffer overflow and cause…
- CVE-2022-31599 — High (CVSS 8.2): NVIDIA DGX A100 contains a vulnerability in SBIOS in the Ofbd, where a local user with elevated privileges can cause…
- CVE-2022-28200 — High (CVSS 8.2): NVIDIA DGX A100 contains a vulnerability in SBIOS in the BiosCfgTool, where a local user with elevated privileges can…
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Other CWE-129 (Improper Validation of Array Index) vulnerabilities
- CVE-2020-27485 — Critical (CVSS 9.9): Garmin Forerunner 235 before 8.20 is affected by: Array index error. The component is: ConnectIQ TVM. The attack vector…
- CVE-2020-27483 — Critical (CVSS 9.9): Garmin Forerunner 235 before 8.20 is affected by: Array index error. The component is: ConnectIQ TVM. The attack vector…
- CVE-2026-21413 — Critical (CVSS 9.8): A heap-based buffer overflow vulnerability exists in the lossless_jpeg_load_raw functionality of LibRaw Commit 0b56545…
- CVE-2025-27034 — Critical (CVSS 9.8): Memory corruption while selecting the PLMN from SOR failed list.
- CVE-2025-3357 — Critical (CVSS 9.8): IBM Tivoli Monitoring 6.3.0.7 through 6.3.0.7 Service Pack 19 could allow a remote attacker to execute arbitrary code…
- CVE-2024-45569 — Critical (CVSS 9.8): Memory corruption while parsing the ML IE due to invalid frame content.
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