Virtual Gpu ManagerApplication · Nvidia

CVE-2021-1081

HIGH · 7.8 CVSS v3.1 Published 2021-04-29
Fix available
A fix is available. Upgrade to 8.7 / 11.4 or later.
See remediation →
80/100
Remediation priority · High
Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
NVIDIA vGPU software contains a vulnerability in the guest kernel mode driver and Virtual GPU manager (vGPU plugin), in which an input length is not validated, which may lead to information disclosure, tampering of data, or denial of service. This affects vGPU version 12.x (prior to 12.2), version 11.x (prior to 11.4) and version 8.x (prior 8.7).

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

NVIDIA vGPU software contains an input validation vulnerability in the guest kernel mode driver and vGPU plugin where input length is not properly validated. This could allow an attacker to trigger buffer overflow conditions leading to information disclosure, data tampering, or denial of service.

MitigationUpgrade NVIDIA vGPU software to version 12.2, 11.4, or 8.7 or later to obtain the patched builds that include proper input length validation.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
Virtual Gpu ManagerApplication
Affected:>= 8.0, < 8.7>= 11.0, < 11.4>= 12.0, < 12.2

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Local
Complexity
Low
Privileges
Low
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify if NVIDIA vGPU Manager is installed on the hypervisor
    On ESXi, run 'esxcli software vib list | grep -i nvidia' or check vib package name containing 'nvidia-vgpu'. On Citrix Hypervisor, run 'xe host-list' and look for vGPU-enabled hosts.
    Affected if No NVIDIA vGPU software vibs or packages are present means not affected.
  2. Determine the installed vGPU Manager version
    Run 'nvidia-smi -v' or check the installed VIB/version package on the hypervisor (esxcli software vib list | grep vgpu). For Citrix, use 'xe host-software-version'.
    Affected if Version is 8.0 to 8.6, 11.0 to 11.3, or 12.0 to 12.1 indicates the environment is within affected version ranges.
  3. Confirm vGPU functionality is enabled
    List active vGPU VMs by checking VM configuration for vGPU device assignments. On ESXi, use 'vmware -v' or check VM hardware settings for 'NVIDIA GRID vGPU' profile.
    Affected if vGPU is not enabled on any VMs indicates the specific attack surface is not present.
  4. Check guest VM NVIDIA driver version
    Inside a VM with vGPU, run 'nvidia-smi' to see the guest driver version or check the installed nvidia driver package version.
    Affected if Guest drivers from affected vGPU Manager versions may also be vulnerable if they correspond to unpatched vGPU software.

If NVIDIA vGPU Manager version falls within 8.0-8.6, 11.0-11.3, or 12.0-12.1 AND vGPU functionality is enabled on the hypervisor, the environment is affected by this vulnerability.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Upgrade available Upgrade to 8.7 / 11.4 / 12.2 or later
Fixed in 8.711.412.2
Interim mitigation

Upgrade NVIDIA vGPU software to version 12.2, 11.4, or 8.7 or later to obtain the patched builds that include proper input length validation.

Fix this in Virtual Gpu Manager Scoped from the published advisory
  • Consultation4.0 h
  • Implementation4.0 h
  • Testing6.0 h
  • Review / QA2.0 h
16.0 hours of engineering $2,780
Get the upgrade done

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $4,448.

Scan for this in your stack

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2021-1081 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data