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CVE-2024-58084 (GCVE-0-2024-58084)

Vulnerability from cvelistv5 – Published: 2025-03-06 16:22 – Updated: 2026-05-11 21:02
VLAI
Title
firmware: qcom: scm: Fix missing read barrier in qcom_scm_get_tzmem_pool()
Summary
In the Linux kernel, the following vulnerability has been resolved: firmware: qcom: scm: Fix missing read barrier in qcom_scm_get_tzmem_pool() Commit 2e4955167ec5 ("firmware: qcom: scm: Fix __scm and waitq completion variable initialization") introduced a write barrier in probe function to store global '__scm' variable. We all known barriers are paired (see memory-barriers.txt: "Note that write barriers should normally be paired with read or address-dependency barriers"), therefore accessing it from concurrent contexts requires read barrier. Previous commit added such barrier in qcom_scm_is_available(), so let's use that directly. Lack of this read barrier can result in fetching stale '__scm' variable value, NULL, and dereferencing it. Note that barrier in qcom_scm_is_available() satisfies here the control dependency.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-01 19:27 UTC
CWE
  • CWE-476 - NULL Pointer Dereference
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: 449d0d84bcd8246b508d07995326d13c54488b8c , < fee921e3c641f64185abee83f9a6e65f0b380682 (git)
Affected: 449d0d84bcd8246b508d07995326d13c54488b8c , < e03db7c1255ebabba5e1a447754faeb138de15a2 (git)
Affected: 449d0d84bcd8246b508d07995326d13c54488b8c , < b628510397b5cafa1f5d3e848a28affd1c635302 (git)
guessed Create a notification for this product.
Linux Linux Affected: 6.11
Unaffected: 0 , < 6.11 (semver)
Unaffected: 6.12.14 , ≤ 6.12.* (semver)
Unaffected: 6.13.3 , ≤ 6.13.* (semver)
Unaffected: 6.14 , ≤ * (original_commit_for_fix)
guessed Create a notification for this product.
Show details on NVD website

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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