Vulnerability-Lookup

GHSA-XVH3-FG8J-WP79

Vulnerability from github – Published: 2022-05-24 17:27 – Updated: 2022-05-24 17:27

Details

u'While processing SMCInvoke asynchronous message header, message count is modified leading to a TOCTOU race condition and lead to memory corruption' in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wired Infrastructure and Networking in IPQ6018, Kamorta, MDM9205, MDM9607, Nicobar, QCS404, QCS405, QCS605, QCS610, Rennell, SA415M, SA515M, SA6155P, SC7180, SC8180X, SDM670, SDM710, SDX24, SDX55, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130

Show details on source website

JSON

To clipboard

{
  "affected": [],
  "aliases": [
    "CVE-2019-14119"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-367"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-09-08T10:15:00Z",
    "severity": "MODERATE"
  },
  "details": "u\u0027While processing SMCInvoke asynchronous message header, message count is modified leading to a TOCTOU race condition and lead to memory corruption\u0027 in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice \u0026 Music, Snapdragon Wired Infrastructure and Networking in IPQ6018, Kamorta, MDM9205, MDM9607, Nicobar, QCS404, QCS405, QCS605, QCS610, Rennell, SA415M, SA515M, SA6155P, SC7180, SC8180X, SDM670, SDM710, SDX24, SDX55, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130",
  "id": "GHSA-xvh3-fg8j-wp79",
  "modified": "2022-05-24T17:27:30Z",
  "published": "2022-05-24T17:27:30Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-14119"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/august-2020-bulletin"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/august-2020-security-bulletin"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2019-14119 (GCVE-0-2019-14119)

Vulnerability from cvelistv5 – Published: 2020-09-08 09:31 – Updated: 2024-08-05 00:12

Summary

Severity

No CVSS data available.

CWE

Time of Check Time of Use Race Condition in QTEE

Assigner

qualcomm mitre root

References

1 reference

URL	Tags
https://www.qualcomm.com/company/product-security…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Qualcomm, Inc.	Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wired Infrastructure and Networking	Affected: IPQ6018, Kamorta, MDM9205, MDM9607, Nicobar, QCS404, QCS405, QCS605, QCS610, Rennell, SA415M, SA515M, SA6155P, SC7180, SC8180X, SDM670, SDM710, SDX24, SDX55, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T00:12:42.511Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "https://www.qualcomm.com/company/product-security/bulletins/august-2020-bulletin"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice \u0026 Music, Snapdragon Wired Infrastructure and Networking",
          "vendor": "Qualcomm, Inc.",
          "versions": [
            {
              "status": "affected",
              "version": "IPQ6018, Kamorta, MDM9205, MDM9607, Nicobar, QCS404, QCS405, QCS605, QCS610, Rennell, SA415M, SA515M, SA6155P, SC7180, SC8180X, SDM670, SDM710, SDX24, SDX55, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "u\u0027While processing SMCInvoke asynchronous message header, message count is modified leading to a TOCTOU race condition and lead to memory corruption\u0027 in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice \u0026 Music, Snapdragon Wired Infrastructure and Networking in IPQ6018, Kamorta, MDM9205, MDM9607, Nicobar, QCS404, QCS405, QCS605, QCS610, Rennell, SA415M, SA515M, SA6155P, SC7180, SC8180X, SDM670, SDM710, SDX24, SDX55, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "Time of Check Time of Use Race Condition in QTEE",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2020-09-08T09:31:33.000Z",
        "orgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
        "shortName": "qualcomm"
      },
      "references": [
        {
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://www.qualcomm.com/company/product-security/bulletins/august-2020-bulletin"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "product-security@qualcomm.com",
          "ID": "CVE-2019-14119",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice \u0026 Music, Snapdragon Wired Infrastructure and Networking",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "IPQ6018, Kamorta, MDM9205, MDM9607, Nicobar, QCS404, QCS405, QCS605, QCS610, Rennell, SA415M, SA515M, SA6155P, SC7180, SC8180X, SDM670, SDM710, SDX24, SDX55, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "Qualcomm, Inc."
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "u\u0027While processing SMCInvoke asynchronous message header, message count is modified leading to a TOCTOU race condition and lead to memory corruption\u0027 in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice \u0026 Music, Snapdragon Wired Infrastructure and Networking in IPQ6018, Kamorta, MDM9205, MDM9607, Nicobar, QCS404, QCS405, QCS605, QCS610, Rennell, SA415M, SA515M, SA6155P, SC7180, SC8180X, SDM670, SDM710, SDX24, SDX55, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130"
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "Time of Check Time of Use Race Condition in QTEE"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://www.qualcomm.com/company/product-security/bulletins/august-2020-bulletin",
              "refsource": "CONFIRM",
              "url": "https://www.qualcomm.com/company/product-security/bulletins/august-2020-bulletin"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
    "assignerShortName": "qualcomm",
    "cveId": "CVE-2019-14119",
    "datePublished": "2020-09-08T09:31:34.000Z",
    "dateReserved": "2019-07-19T00:00:00.000Z",
    "dateUpdated": "2024-08-05T00:12:42.511Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.