CVE-2021-41839: InsydeH2O UEFI: SMM privilege escalation via NVMe driver bug
UNKNOWNThis is a firmware-level vulnerability in Insyde InsydeH2O's UEFI NvmExpressDxe driver, where an untrusted pointer dereference lets an attacker corrupt SMM memory and write predictable data into SMRAM, escalating privileges to System Management Mode, the most privileged execution context on x86 hardware, below the OS and hypervisor. Despite being flagged under the ml_library AI category, this CVE has no genuine connection to AI/ML software, frameworks, or pipelines; it is a generic BIOS/UEFI supply-chain issue that affects any server hardware, including machines that happen to host AI training or inference workloads, in exactly the same way it affects any other server. Exploitation likelihood is low (EPSS 0.00275, bottom 20th percentile), it is not in CISA KEV, and there is no public exploit code or Nuclei template, so this requires local or already-privileged access plus deep firmware expertise rather than a remote or trivial attack path. The action is standard firmware hygiene, not an AI-specific response: track OEM BIOS updates referencing Insyde advisory SA-2022020 (NetApp and Siemens have already published downstream advisories) through normal firmware patch management. For threat-intel purposes, treat this as a mis-tagged entry in the AI-category pipeline rather than an actionable AI attack surface item.
What is the risk?
Low priority for AI-specific risk tracking. Technical severity of the underlying SMM privilege escalation is meaningful for general infrastructure security (SMM compromise can undermine OS and hypervisor-level protections), but exploitability is low: no KEV listing, no public exploit or scanner template, EPSS in the bottom percentile, and exploitation requires local/privileged pre-conditions plus firmware-level expertise. There is no AI/ML-specific exposure — the affected component is a UEFI storage driver, not an AI package, model, or service.
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 stepIdentify affected hardware via OEM/BIOS vendor advisories referencing Insyde SA-2022020 (check NetApp and Siemens downstream advisories linked in this CVE for product-specific guidance). Apply vendor-issued UEFI/BIOS firmware updates through standard firmware patch management channels. No AI package or software-level workaround applies since this is a hardware firmware issue; detection would rely on firmware integrity monitoring (e.g., TPM attestation, vendor firmware scanning tools) rather than application-layer controls.
How is it classified?
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is CVE-2021-41839?
This is a firmware-level vulnerability in Insyde InsydeH2O's UEFI NvmExpressDxe driver, where an untrusted pointer dereference lets an attacker corrupt SMM memory and write predictable data into SMRAM, escalating privileges to System Management Mode, the most privileged execution context on x86 hardware, below the OS and hypervisor. Despite being flagged under the ml_library AI category, this CVE has no genuine connection to AI/ML software, frameworks, or pipelines; it is a generic BIOS/UEFI supply-chain issue that affects any server hardware, including machines that happen to host AI training or inference workloads, in exactly the same way it affects any other server. Exploitation likelihood is low (EPSS 0.00275, bottom 20th percentile), it is not in CISA KEV, and there is no public exploit code or Nuclei template, so this requires local or already-privileged access plus deep firmware expertise rather than a remote or trivial attack path. The action is standard firmware hygiene, not an AI-specific response: track OEM BIOS updates referencing Insyde advisory SA-2022020 (NetApp and Siemens have already published downstream advisories) through normal firmware patch management. For threat-intel purposes, treat this as a mis-tagged entry in the AI-category pipeline rather than an actionable AI attack surface item.
Is CVE-2021-41839 actively exploited?
No confirmed active exploitation of CVE-2021-41839 has been reported, but organizations should still patch proactively.
How to fix CVE-2021-41839?
Identify affected hardware via OEM/BIOS vendor advisories referencing Insyde SA-2022020 (check NetApp and Siemens downstream advisories linked in this CVE for product-specific guidance). Apply vendor-issued UEFI/BIOS firmware updates through standard firmware patch management channels. No AI package or software-level workaround applies since this is a hardware firmware issue; detection would rely on firmware integrity monitoring (e.g., TPM attestation, vendor firmware scanning tools) rather than application-layer controls.
What is the CVSS score for CVE-2021-41839?
No CVSS score has been assigned yet.
What are the technical details?
Original Advisory
An issue was discovered in NvmExpressDxe in the kernel 5.0 through 5.5 in Insyde InsydeH2O. Because of an Untrusted Pointer Dereference that causes SMM memory corruption, an attacker may be able to write fixed or predictable data to SMRAM. Exploiting this issue could lead to escalating privileges to SMM.
Exploitation Scenario
An attacker who has already obtained privileged local access to a server (e.g., via a prior OS-level compromise or physical access) triggers the untrusted pointer dereference in the NvmExpressDxe driver during an SMI (System Management Interrupt) handling path, corrupting SMRAM with attacker-influenced data. This escalates the attacker from OS/ring-0 privileges to SMM, effectively giving them control below the operating system and any hypervisor-based security controls. On a host running AI/ML workloads, this would let the attacker persist undetected below EDR/OS-level monitoring and potentially tamper with or exfiltrate data from any workload running on that hardware, not because of anything AI-specific but because SMM compromise undermines the entire platform's trust base.
References
- cert-portal.siemens.com/productcert/pdf/ssa-306654.pdfx_refsource_CONFIRM
- security.netapp.com/advisory/ntap-20220217-0016/x_refsource_CONFIRM
- insyde.com/security-pledgex_refsource_MISC
- insyde.com/security-pledge/SA-2022020x_refsource_MISC
Timeline
Related Vulnerabilities
CVE-2024-291210.0BentoML: RCE via insecure deserialization (CVSS 10)
Same attack type: Code ExecutionCVE-2026-2185810.0n8n: Input Validation flaw enables exploitation
Same attack type: Code ExecutionCVE-2025-512010.0smolagents: sandbox escape enables unauthenticated RCE
Same attack type: Code ExecutionCVE-2025-5952810.0Flowise: Unauthenticated RCE via MCP config injection
Same attack type: Code ExecutionGHSA-vvpj-8cmc-gx3910.0picklescan: security flaw enables exploitation
Same attack type: Code Execution