GHSA-MPM7-4JVJ-FCRV

Vulnerability from github – Published: 2026-05-01 15:30 – Updated: 2026-05-01 15:30
VLAI?
Details

In the Linux kernel, the following vulnerability has been resolved:

NFC: pn533: bound the UART receive buffer

pn532_receive_buf() appends every incoming byte to dev->recv_skb and only resets the buffer after pn532_uart_rx_is_frame() recognizes a complete frame. A continuous stream of bytes without a valid PN532 frame header therefore keeps growing the skb until skb_put_u8() hits the tail limit.

Drop the accumulated partial frame once the fixed receive buffer is full so malformed UART traffic cannot grow the skb past PN532_UART_SKB_BUFF_LEN.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-43032"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-01T15:16:47Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nNFC: pn533: bound the UART receive buffer\n\npn532_receive_buf() appends every incoming byte to dev-\u003erecv_skb and\nonly resets the buffer after pn532_uart_rx_is_frame() recognizes a\ncomplete frame. A continuous stream of bytes without a valid PN532 frame\nheader therefore keeps growing the skb until skb_put_u8() hits the tail\nlimit.\n\nDrop the accumulated partial frame once the fixed receive buffer is full\nso malformed UART traffic cannot grow the skb past\nPN532_UART_SKB_BUFF_LEN.",
  "id": "GHSA-mpm7-4jvj-fcrv",
  "modified": "2026-05-01T15:30:37Z",
  "published": "2026-05-01T15:30:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-43032"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/23e925183db26cd322597679669ad29d70ed2ada"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2c1fadd221b21d8038acfe6a0f56291881d5ff76"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/30fe3f5f6494f827d812ff179f295a8e532709d6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3adca9be14bf36b927193f05f5aea35a1a90e913"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8bedf1dd5640ac8997bff00bbefe241b438df397"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ad2f60de5045bfb5d20ea468a97c8760c6a3a4f8"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/cf2ff10183204349edfd6b972e189375fc5f1fb0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f48ab6ee654ecc350434e4566bc785773f412b7e"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}


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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

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