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CVE-2021-3743 (GCVE-0-2021-3743)

Vulnerability from cvelistv5 – Published: 2022-03-04 15:52 – Updated: 2024-08-03 17:01
VLAI
Summary
An out-of-bounds (OOB) memory read flaw was found in the Qualcomm IPC router protocol in the Linux kernel. A missing sanity check allows a local attacker to gain access to out-of-bounds memory, leading to a system crash or a leak of internal kernel information. The highest threat from this vulnerability is to system availability.
CWE
Impacted products
Vendor Product Version CPE status
n/a Kernel Affected: Affects linux kernel v5.14.0-rc6 and above.
Show details on NVD website

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            "tags": [
              "Exploit",
              "Mailing List",
              "Third Party Advisory"
            ],
            "url": "https://lists.openwall.net/netdev/2021/08/17/124"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Third Party Advisory"
            ],
            "url": "https://security.netapp.com/advisory/ntap-20220407-0007/"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Exploit",
              "Mailing List",
              "Patch",
              "Third Party Advisory"
            ],
            "url": "https://www.openwall.com/lists/oss-security/2021/08/27/2"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Patch",
              "Third Party Advisory"
            ],
            "url": "https://www.oracle.com/security-alerts/cpujul2022.html"
          }
        ],
        "sourceIdentifier": "secalert@redhat.com",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-125"
              }
            ],
            "source": "secalert@redhat.com",
            "type": "Secondary"
          },
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-125"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Secondary"
          }
        ]
      }
    },
    "redhat_vex": {
      "aggregate_severity": "Moderate",
      "current_release_date": "2026-06-28T07:48:02+00:00",
      "cve": "CVE-2021-3743",
      "id": "CVE-2021-3743",
      "initial_release_date": "2021-08-20T00:00:00+00:00",
      "product_status:fixed": "150",
      "product_status:known_not_affected": "149",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "kernel: out-of-bound Read in qrtr_endpoint_post in net/qrtr/qrtr.c",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-3743.json",
      "version": "3"
    }
  }
}



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Taxonomy of the tags.


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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.

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Detection rules are retrieved from Rulezet.

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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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