In the Linux kernel, the following vulnerability has been resolved:
drm/i915/dpt: Treat the DPT BO as a framebuffer
Currently i915_gem_object_is_framebuffer() doesn't treat the BO containing the framebuffer's DPT as a framebuffer itself. This means eg. that the shrinker can evict the DPT BO while leaving the actual FB BO bound, when the DPT is allocated from regular shmem.
That causes an immediate oops during hibernate as we try to rewrite the PTEs inside the already evicted DPT obj.
TODO: presumably this might also be the reason for the DPT related display faults under heavy memory pressure, but I'm still not sure how that would happen as the object should be pinned by intel_dpt_pin() while in active use by the display engine...
(cherry picked from commit 779cb5ba64ec7df80675a956c9022929514f517a)
| Software | From | Fixed in |
|---|---|---|
| linux / linux_kernel | 6.0 | 6.1.23 |
| linux / linux_kernel | 6.2 | 6.2.10 |
| linux / linux_kernel | 6.3-rc1 | 6.3-rc1.x |
| linux / linux_kernel | 6.3-rc2 | 6.3-rc2.x |
| linux / linux_kernel | 6.3-rc3 | 6.3-rc3.x |
| linux / linux_kernel | 6.3-rc4 | 6.3-rc4.x |
A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
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Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.
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