CVE-2021-4453: drm/amd/pm: fix a potential gpu_metrics_table memory leak
In the Linux kernel, the following vulnerability has been resolved:
drm/amd/pm: fix a potential gpu_metrics_table memory leak
Memory is allocated for gpu_metrics_table in renoir_init_smc_tables(),
but not freed in int smu_v12_0_fini_smc_tables(). Free it!
Security readout for executives and security teams
Plain-English summary
This is a Linux kernel memory leak in AMD GPU power-management code. A local low-privilege user could potentially drive availability impact, not data theft or data modification. It matters most for Linux systems using affected AMD graphics paths, especially where local users or workloads can repeatedly exercise GPU driver lifecycle behavior.
Executive priority
Treat this as a scheduled kernel maintenance item unless affected systems are multi-user, GPU-exposed, or availability-sensitive. It is not evidenced as remotely exploitable or actively exploited, but local availability impact can still matter in shared compute environments.
Technical view
The issue is CWE-401: gpu_metrics_table is allocated in renoir_init_smc_tables() but was not freed in smu_v12_0_fini_smc_tables(). The CVSS vector is local, low complexity, low privileges required, no user interaction, no confidentiality or integrity impact, and high availability impact.
Likely exposure
Exposure is limited to affected Linux kernel builds with the AMD Renoir/SMU v12 power-management path present. The source lists Linux 5.10-related, 5.15.11, and 5.16 entries, but distro backports may change actual exposure.
Exploitation context
The provided sources do not report active exploitation, and the CVE is not listed as KEV. Exploitation is local according to CVSS and requires low privileges. Evidence supports availability risk from memory leakage, not remote compromise.
Researcher notes
The core evidence is the Linux stable fix description: gpu_metrics_table allocation lacked matching cleanup. The CVSS vector supports local low-privilege availability impact. Affected-version data in the bundle is sparse and should be validated against downstream distro kernel backports.
Mitigation direction
Apply vendor or distribution kernel updates containing the stable kernel fix.
Prioritize shared Linux systems where untrusted local users can access GPU functionality.
Review kernel stable commits linked in the CVE record for fix inclusion.
Use distro advisories to confirm backported fixes for packaged kernels.
Reboot into the corrected kernel after maintenance approval.
Validation and detection
Inventory Linux hosts with AMD GPU hardware and amdgpu power-management support.
Compare running kernel packages against vendor fixed versions or backported advisories.
Check kernel changelogs for the gpu_metrics_table memory leak fix.
Confirm the corrected kernel is active after reboot.
Monitor affected hosts for memory pressure or availability symptoms before remediation.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
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cwe · low confidence lookup
CWE-401: Exact CWE lookup
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These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
CWE-401 · source CWE mapping
Missing Release of Memory after Effective Lifetime
Missing Release of Memory after Effective Lifetime represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.