CVE-2021-41840: InsydeH2O: SMM callout enables ring -2 code execution
UNKNOWNThis is an SMM (System Management Mode) privilege-escalation flaw in Insyde's InsydeH2O UEFI firmware, used across a wide range of OEM laptops, workstations and servers — not a vulnerability in any AI/ML software package, despite the ml_library tag on this record. An attacker who already has kernel-level (ring 0) access can trigger an unsafe SMM callout in the NvmExpressDxe driver to jump into ring -2, the most privileged execution context on the CPU, effectively gaining control below the operating system and any endpoint security tooling. EPSS sits at a low 0.3% (roughly the 77th percentile of scored CVEs, i.e. middling-low real-world exploitation likelihood), it is not in CISA KEV, and there is no public exploit or scanner template, so opportunistic exploitation is unlikely today — but the impact ceiling (firmware-level implants that survive OS reinstalls) is severe if a targeted actor invests the effort. Any GPU training rig, inference server, or edge AI appliance built on affected InsydeH2O-based hardware inherits this exposure exactly like any other workload on that hardware — there is no AI-specific attack surface here. Action: identify affected devices via OEM firmware inventories and apply the vendor UEFI/BIOS updates referenced in Insyde's SA-2022018 advisory and the downstream NetApp/Siemens bulletins; this is a standard firmware patch-management item, not an AI/ML risk-team priority.
What is the risk?
Low near-term exploitation likelihood (no KEV listing, no public exploit or Nuclei template, EPSS ~0.3%) but high theoretical impact given SMM is the most privileged x86 execution ring, sitting beneath the OS/hypervisor and any host-based security controls. Requires the attacker to already hold ring-0 (kernel/admin) access on the target, so this is a privilege-escalation/persistence tool for an already-compromised host rather than a remote initial-access vector. No AI/ML-specific risk amplifier applies; risk should be tracked through standard firmware/hardware vulnerability management, not the AI security program.
How does the attack unfold?
What systems are affected?
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| n/a | — | — | No patch |
Do you use n/a? You're affected.
How severe is it?
What should I do?
1 stepInventory devices for InsydeH2O firmware and cross-reference against Insyde's SA-2022018 advisory and the OEM bulletins referenced (NetApp ntap-20220217-0014, Siemens SSA-306654) to identify which specific product/firmware versions are patched. Apply OEM-supplied UEFI/BIOS updates as soon as available for affected models. Where firmware updates are unavailable, rely on defense-in-depth: enable Secure Boot, Intel BIOS Guard/BootGuard or equivalent SMM protections, and restrict who can obtain ring-0 access in the first place (this bug requires existing kernel-level compromise to exploit). Detection is difficult at the OS layer by design (that's the point of an SMM escape) — favor firmware integrity attestation tooling and vendor-provided firmware scanners over EDR/host logs for this specific class of issue.
How is it classified?
Which compliance frameworks are affected?
This CVE is relevant to:
Frequently Asked Questions
What is CVE-2021-41840?
This is an SMM (System Management Mode) privilege-escalation flaw in Insyde's InsydeH2O UEFI firmware, used across a wide range of OEM laptops, workstations and servers — not a vulnerability in any AI/ML software package, despite the ml_library tag on this record. An attacker who already has kernel-level (ring 0) access can trigger an unsafe SMM callout in the NvmExpressDxe driver to jump into ring -2, the most privileged execution context on the CPU, effectively gaining control below the operating system and any endpoint security tooling. EPSS sits at a low 0.3% (roughly the 77th percentile of scored CVEs, i.e. middling-low real-world exploitation likelihood), it is not in CISA KEV, and there is no public exploit or scanner template, so opportunistic exploitation is unlikely today — but the impact ceiling (firmware-level implants that survive OS reinstalls) is severe if a targeted actor invests the effort. Any GPU training rig, inference server, or edge AI appliance built on affected InsydeH2O-based hardware inherits this exposure exactly like any other workload on that hardware — there is no AI-specific attack surface here. Action: identify affected devices via OEM firmware inventories and apply the vendor UEFI/BIOS updates referenced in Insyde's SA-2022018 advisory and the downstream NetApp/Siemens bulletins; this is a standard firmware patch-management item, not an AI/ML risk-team priority.
Is CVE-2021-41840 actively exploited?
No confirmed active exploitation of CVE-2021-41840 has been reported, but organizations should still patch proactively.
How to fix CVE-2021-41840?
Inventory devices for InsydeH2O firmware and cross-reference against Insyde's SA-2022018 advisory and the OEM bulletins referenced (NetApp ntap-20220217-0014, Siemens SSA-306654) to identify which specific product/firmware versions are patched. Apply OEM-supplied UEFI/BIOS updates as soon as available for affected models. Where firmware updates are unavailable, rely on defense-in-depth: enable Secure Boot, Intel BIOS Guard/BootGuard or equivalent SMM protections, and restrict who can obtain ring-0 access in the first place (this bug requires existing kernel-level compromise to exploit). Detection is difficult at the OS layer by design (that's the point of an SMM escape) — favor firmware integrity attestation tooling and vendor-provided firmware scanners over EDR/host logs for this specific class of issue.
What systems are affected by CVE-2021-41840?
This vulnerability affects the following AI/ML architecture patterns: on-premises AI/ML compute infrastructure (indirect — firmware layer beneath any workload, not AI-specific).
What is the CVSS score for CVE-2021-41840?
No CVSS score has been assigned yet.
What is the AI security impact?
Affected AI Architectures
MITRE ATLAS Techniques
AML.T0107Exploitation for Defense EvasionCompliance Controls Affected
What are the technical details?
Original Advisory
An issue was discovered in NvmExpressDxe in the kernel 5.0 through 5.5 in Insyde InsydeH2O. There is an SMM callout that allows an attacker to access the System Management Mode and execute arbitrary code. This occurs because of Inclusion of Functionality from an Untrusted Control Sphere.
Exploitation Scenario
An attacker who has already achieved kernel-level code execution on a target machine (via a separate exploit, malicious driver, or insider access) invokes the vulnerable NvmExpressDxe SMM callout to escalate into System Management Mode. From SMM, the attacker installs a persistent implant that operates below the OS and survives reinstalls, disk wipes, or even OS security tooling, effectively taking full control of the physical host. If that host happens to run AI/ML workloads (a training node, inference server, or MLOps orchestrator), those workloads inherit total compromise — model weights, training data, and inference traffic all become accessible to the attacker — but this is a consequence of owning the underlying hardware, not an attack against any AI component itself.
References
- cert-portal.siemens.com/productcert/pdf/ssa-306654.pdfx_refsource_CONFIRM
- security.netapp.com/advisory/ntap-20220217-0014/x_refsource_CONFIRM
- insyde.com/security-pledgex_refsource_MISC
- insyde.com/security-pledge/SA-2022018x_refsource_MISC
Timeline
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