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FKIE_CVE-2022-3028

Vulnerability from fkie_nvd - Published: 2022-08-31 16:15 - Updated: 2026-06-17 04:58
Severity
7.0 (High) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Summary
A race condition was found in the Linux kernel's IP framework for transforming packets (XFRM subsystem) when multiple calls to xfrm_probe_algs occurred simultaneously. This flaw could allow a local attacker to potentially trigger an out-of-bounds write or leak kernel heap memory by performing an out-of-bounds read and copying it into a socket.
References
secalert@redhat.comhttps://github.com/torvalds/linux/commit/ba953a9d89a00c078b85f4b190bc1dde66fe16b5Patch, Third Party Advisory
secalert@redhat.comhttps://lists.debian.org/debian-lts-announce/2022/10/msg00000.htmlMailing List, Third Party Advisory
secalert@redhat.comhttps://lists.debian.org/debian-lts-announce/2022/11/msg00001.htmlMailing List, Third Party Advisory
secalert@redhat.comhttps://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/F3MYP7WX4PNE6RCITVXA43CECBZT4CL6/
secalert@redhat.comhttps://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/JKVA75UHKVOHNOEPCLUHTFGWCOOUBDM3/
secalert@redhat.comhttps://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/PEQYVCNYUWB4CJ2YRAYNF2GGFQ7SUYC4/
secalert@redhat.comhttps://lore.kernel.org/all/YtoWqEkKzvimzWS5%40gondor.apana.org.au/T/
secalert@redhat.comhttps://security.netapp.com/advisory/ntap-20230214-0004/Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/torvalds/linux/commit/ba953a9d89a00c078b85f4b190bc1dde66fe16b5Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://lists.debian.org/debian-lts-announce/2022/10/msg00000.htmlMailing List, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://lists.debian.org/debian-lts-announce/2022/11/msg00001.htmlMailing List, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/F3MYP7WX4PNE6RCITVXA43CECBZT4CL6/
af854a3a-2127-422b-91ae-364da2661108https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/JKVA75UHKVOHNOEPCLUHTFGWCOOUBDM3/
af854a3a-2127-422b-91ae-364da2661108https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/PEQYVCNYUWB4CJ2YRAYNF2GGFQ7SUYC4/
af854a3a-2127-422b-91ae-364da2661108https://lore.kernel.org/all/YtoWqEkKzvimzWS5%40gondor.apana.org.au/T/
af854a3a-2127-422b-91ae-364da2661108https://security.netapp.com/advisory/ntap-20230214-0004/Third Party Advisory
Impacted products
Vendor Product Version
linux linux_kernel *
linux linux_kernel *
linux linux_kernel *
linux linux_kernel *
linux linux_kernel *
linux linux_kernel *
linux linux_kernel *
linux linux_kernel 6.0
linux linux_kernel 6.0
fedoraproject fedora 35
fedoraproject fedora 36
fedoraproject fedora 37
debian debian_linux 10.0
To clipboard 

{
  "affected": [
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      "affectedData": [
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          "product": "Linux kernel",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "Fixed in kernel 6.0-rc3"
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      "source": "secalert@redhat.com"
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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A race condition was found in the Linux kernel\u0027s IP framework for transforming packets (XFRM subsystem) when multiple calls to xfrm_probe_algs occurred simultaneously. This flaw could allow a local attacker to potentially trigger an out-of-bounds write or leak kernel heap memory by performing an out-of-bounds read and copying it into a socket."
    },
    {
      "lang": "es",
      "value": "Se ha encontrado una condici\u00f3n de carrera en el marco IP del kernel de Linux para la transformaci\u00f3n de paquetes (subsistema XFRM) cuando son producidas simult\u00e1neamente varias llamadas a xfrm_probe_algs. Este fallo podr\u00eda permitir a un atacante local desencadenar potencialmente una escritura fuera de l\u00edmites o una p\u00e9rdida de memoria de la pila del kernel al llevar a cabo una lectura fuera de l\u00edmites y copiarla en un socket"
    }
  ],
  "id": "CVE-2022-3028",
  "lastModified": "2026-06-17T04:58:40.053",
  "metrics": {
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        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.0,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 1.0,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
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  "published": "2022-08-31T16:15:11.867",
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}



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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.


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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.