Vulnerability from bitnami_vulndb
Published
2026-08-17 05:47
Modified
2026-08-17 06:10
Summary
Super-linear CPU usage for unbounded input to csv.Sniffer.sniff()
Details

Attacker-controlled CSV samples can trigger super-linear regular-expression work during dialect sniffing and consume significant CPU when applications pass unbounded input to csv.Sniffer.sniff().

To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "libpython",
        "purl": "pkg:bitnami/libpython"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.10.21"
            },
            {
              "introduced": "3.11.0"
            },
            {
              "fixed": "3.11.16"
            },
            {
              "introduced": "3.12.0"
            },
            {
              "fixed": "3.12.14"
            },
            {
              "introduced": "3.13.0"
            },
            {
              "fixed": "3.13.15"
            },
            {
              "introduced": "3.14.0"
            },
            {
              "fixed": "3.14.7"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
          "type": "CVSS_V4"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-18503"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:python:python:*:*:*:*:*:*:*:*"
    ],
    "severity": "Low"
  },
  "details": "Attacker-controlled CSV samples can trigger super-linear \nregular-expression work during dialect sniffing and consume significant \nCPU when applications pass unbounded input to csv.Sniffer.sniff().",
  "id": "BIT-libpython-2026-18503",
  "modified": "2026-08-17T06:10:32.268Z",
  "published": "2026-08-17T05:47:01.272Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/063d4555c94ef412c731527dbf30193327f2ee82"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/476fb09cdb0d73e645849d98c610e7e5697ce7c9"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/89f29c760c02774b099ddd6863268eb13fa3946a"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/b09a67a20c464f8288c9f9a6b9c7082a74560024"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/b30c7fa9edd921a118f286e9f90f560777fa693b"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/fd78b565d7c326f96ae903ab945b47f35d829cf4"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/issues/98820"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/pull/153694"
    },
    {
      "type": "WEB",
      "url": "https://mail.python.org/archives/list/security-announce@python.org/thread/KQ7NBMCPAZJHRROQXJQE4GMXGLD5KHBS/"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-18503"
    }
  ],
  "schema_version": "1.6.2",
  "summary": "Super-linear CPU usage for unbounded input to csv.Sniffer.sniff()"
}



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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

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.