FKIE_CVE-2026-43061

Vulnerability from fkie_nvd - Published: 2026-05-05 16:16 - Updated: 2026-06-17 10:48
Summary
In the Linux kernel, the following vulnerability has been resolved: serial: 8250: Fix TX deadlock when using DMA `dmaengine_terminate_async` does not guarantee that the `__dma_tx_complete` callback will run. The callback is currently the only place where `dma->tx_running` gets cleared. If the transaction is canceled and the callback never runs, then `dma->tx_running` will never get cleared and we will never schedule new TX DMA transactions again. This change makes it so we clear `dma->tx_running` after we terminate the DMA transaction. This is "safe" because `serial8250_tx_dma_flush` is holding the UART port lock. The first thing the callback does is also grab the UART port lock, so access to `dma->tx_running` is serialized.

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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In the Linux kernel, the following vulnerability has been resolved:\n\nserial: 8250: Fix TX deadlock when using DMA\n\n`dmaengine_terminate_async` does not guarantee that the\n`__dma_tx_complete` callback will run. The callback is currently the\nonly place where `dma-\u003etx_running` gets cleared. If the transaction is\ncanceled and the callback never runs, then `dma-\u003etx_running` will never\nget cleared and we will never schedule new TX DMA transactions again.\n\nThis change makes it so we clear `dma-\u003etx_running` after we terminate\nthe DMA transaction. This is \"safe\" because `serial8250_tx_dma_flush`\nis holding the UART port lock. The first thing the callback does is also\ngrab the UART port lock, so access to `dma-\u003etx_running` is serialized."
    }
  ],
  "id": "CVE-2026-43061",
  "lastModified": "2026-06-17T10:48:51.583",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2026-05-05T16:16:15.210",
  "references": [
    {
      "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
      "tags": [
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      "url": "https://git.kernel.org/stable/c/2a72403b985aea6b4aac3171830492f9a387f9e1"
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    },
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      "tags": [
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      "url": "https://git.kernel.org/stable/c/f76d91271bcacbd759a2e4ee3ea61faa6a727ccf"
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  "sourceIdentifier": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-667"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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