CVE-2020-27339: InsydeH2O SMM drivers: buffer flaw corrupts firmware/OS memory

UNKNOWN
Published June 16, 2021
CISO Take

This is a firmware-level flaw in Insyde InsydeH2O 5.x, where several System Management Mode (SMM) drivers — AhciBusDxe, IdeBusDxe, NvmExpressDxe, SdHostDriverDxe and SdMmcDeviceDxe — fail to validate the CommBuffer and CommBufferSize parameters passed to them, allowing a caller to corrupt firmware or OS memory from SMM, the most privileged execution ring on the platform, sitting below the OS and any hypervisor. It is not an AI/ML software vulnerability — no package in our tracked catalog is implicated — but it is relevant to AI infrastructure (edge inference appliances, on-prem GPU/inference servers, engineer workstations running local models) that boots on Insyde firmware, because a successful exploit can persist beneath every OS-level or ML-runtime security control. Urgency today is low: EPSS is just 0.32%, the CVE is not in CISA KEV, and there is no public exploit code or Nuclei scanner template — this is a firmware supply-chain hygiene issue, not an active campaign. Action: inventory devices/appliances for Insyde InsydeH2O and confirm they are updated to the fixed driver builds (05.16.25/05.26.25/05.35.25/05.43.25/05.51.25 for Kernel 5.1-5.5) per Insyde advisory SA-2021001, prioritizing any NetApp or Siemens products confirmed affected by their own CERT advisories.

Sources:NVDEPSSinsyde.comsecurity.netapp.comcert-portal.siemens.comATLAS

What is the risk?

Low near-term exploitation likelihood (EPSS 0.32%, no KEV listing, no public exploit or scanner coverage) but high potential impact if exploited, since SMM code execution sits below the OS and can survive OS reinstalls or hypervisor-level defenses. Exploitation typically requires local or privileged access to the target platform (e.g., a compromised OS driver or physical/administrative access), which limits remote mass-exploitation risk. This is best treated as a firmware supply-chain/asset-inventory issue rather than an urgent AI-specific threat.

How does the attack unfold?

Local/privileged access
Adversary obtains local, administrative, or physical/supply-chain access to a device running vulnerable Insyde InsydeH2O firmware.
SMM exploitation
Adversary sends a crafted CommBuffer/CommBufferSize to an affected SMM driver (AhciBusDxe, IdeBusDxe, NvmExpressDxe, SdHostDriverDxe, or SdMmcDeviceDxe), triggering out-of-bounds memory corruption in System Management Mode.
Persistence and impact
The attacker corrupts firmware or OS memory from ring -2, potentially planting a persistent, OS-invisible implant that can undermine the integrity of any workload above it, including AI inference or model-serving infrastructure.
AML.T0010.000

What systems are affected?

PackageEcosystemVulnerable RangePatched
n/a——No patch

Do you use n/a? You're affected.

How severe is it?

CVSS 3.1
N/A
EPSS
0.3%
chance of exploitation in 30 days
Higher than 25% of all CVEs
Exploitation Status
No known exploitation
Sophistication
Advanced

What should I do?

1 step
  1. 1) Inventory all servers, edge devices, and workstations for Insyde InsydeH2O firmware and current driver/kernel version. 2) Apply OEM BIOS/UEFI updates that incorporate the fixed driver versions (05.16.25 AhciBusDxe, 05.26.25 IdeBusDxe, 05.35.25 NvmExpressDxe, 05.43.25 SdHostDriverDxe, 05.51.25 SdMmcDeviceDxe) referenced in Insyde SA-2021001. 3) Check downstream OEM advisories (NetApp, Siemens, and other device vendors using InsydeH2O) for product-specific patch guidance, since the OEM — not Insyde directly — typically ships the firmware update. 4) Where firmware updates lag, enable/verify UEFI Secure Boot, firmware integrity attestation (e.g., Intel BootGuard/TPM measured boot), and firmware-tamper monitoring on high-value AI compute assets. 5) Prioritize patching for AI edge-inference appliances and GPU/inference servers exposed to untrusted local users or supply-chain handling.

How is it classified?

Code ExecutionInferenceAML.T0010.000

Which compliance frameworks are affected?

This CVE is relevant to:

ISO 42001
A.6.2.6-AI system infrastructure security
NIST AI RMF
GOVERN 6.1-Supply chain risk management

Frequently Asked Questions

What is CVE-2020-27339?

This is a firmware-level flaw in Insyde InsydeH2O 5.x, where several System Management Mode (SMM) drivers — AhciBusDxe, IdeBusDxe, NvmExpressDxe, SdHostDriverDxe and SdMmcDeviceDxe — fail to validate the CommBuffer and CommBufferSize parameters passed to them, allowing a caller to corrupt firmware or OS memory from SMM, the most privileged execution ring on the platform, sitting below the OS and any hypervisor. It is not an AI/ML software vulnerability — no package in our tracked catalog is implicated — but it is relevant to AI infrastructure (edge inference appliances, on-prem GPU/inference servers, engineer workstations running local models) that boots on Insyde firmware, because a successful exploit can persist beneath every OS-level or ML-runtime security control. Urgency today is low: EPSS is just 0.32%, the CVE is not in CISA KEV, and there is no public exploit code or Nuclei scanner template — this is a firmware supply-chain hygiene issue, not an active campaign. Action: inventory devices/appliances for Insyde InsydeH2O and confirm they are updated to the fixed driver builds (05.16.25/05.26.25/05.35.25/05.43.25/05.51.25 for Kernel 5.1-5.5) per Insyde advisory SA-2021001, prioritizing any NetApp or Siemens products confirmed affected by their own CERT advisories.

Is CVE-2020-27339 actively exploited?

No confirmed active exploitation of CVE-2020-27339 has been reported, but organizations should still patch proactively.

How to fix CVE-2020-27339?

1) Inventory all servers, edge devices, and workstations for Insyde InsydeH2O firmware and current driver/kernel version. 2) Apply OEM BIOS/UEFI updates that incorporate the fixed driver versions (05.16.25 AhciBusDxe, 05.26.25 IdeBusDxe, 05.35.25 NvmExpressDxe, 05.43.25 SdHostDriverDxe, 05.51.25 SdMmcDeviceDxe) referenced in Insyde SA-2021001. 3) Check downstream OEM advisories (NetApp, Siemens, and other device vendors using InsydeH2O) for product-specific patch guidance, since the OEM — not Insyde directly — typically ships the firmware update. 4) Where firmware updates lag, enable/verify UEFI Secure Boot, firmware integrity attestation (e.g., Intel BootGuard/TPM measured boot), and firmware-tamper monitoring on high-value AI compute assets. 5) Prioritize patching for AI edge-inference appliances and GPU/inference servers exposed to untrusted local users or supply-chain handling.

What systems are affected by CVE-2020-27339?

This vulnerability affects the following AI/ML architecture patterns: edge inference, model serving.

What is the CVSS score for CVE-2020-27339?

No CVSS score has been assigned yet.

What is the AI security impact?

Affected AI Architectures

edge inferencemodel serving

MITRE ATLAS Techniques

AML.T0010.000Hardware

Compliance Controls Affected

ISO 42001: A.6.2.6
NIST AI RMF: GOVERN 6.1

What are the technical details?

Original Advisory

In the kernel in Insyde InsydeH2O 5.x, certain SMM drivers did not correctly validate the CommBuffer and CommBufferSize parameters, allowing callers to corrupt either the firmware or the OS memory. The fixed versions for this issue in the AhciBusDxe, IdeBusDxe, NvmExpressDxe, SdHostDriverDxe, and SdMmcDeviceDxe drivers are 05.16.25, 05.26.25, 05.35.25, 05.43.25, and 05.51.25 (for Kernel 5.1 through 5.5).

Exploitation Scenario

An adversary with local or administrative access to a device running vulnerable Insyde InsydeH2O firmware — for example, via a compromised OS driver, a malicious pre-boot utility, or physical/supply-chain access to an AI edge-inference appliance or GPU server — issues a crafted SMI call with an unvalidated CommBuffer/CommBufferSize to one of the affected SMM drivers. The missing bounds check lets the attacker corrupt firmware or OS memory from ring -2, enabling a persistent, OS-invisible implant. On an AI-dedicated host, this could be used to tamper with the boot chain feeding an ML runtime, exfiltrate data before OS-level encryption applies, or survive incident-response reimaging of AI infrastructure.

Timeline

Published
June 16, 2021
Last Modified
August 11, 2026
First Seen
August 11, 2026

Related Vulnerabilities