FKIE_CVE-2019-5305

Vulnerability from fkie_nvd - Published: 2019-06-06 15:29 - Updated: 2026-06-17 02:37
Summary
The image processing module of some Huawei Mate 10 smartphones versions before ALP-L29 9.0.0.159(C185) has a memory double free vulnerability. An attacker tricks a user into installing a malicious application, and the application can call special API, which could trigger double free and cause a system crash.
Impacted products
Vendor Product Version
huawei mate_10_firmware *
huawei mate_10 -

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "Mate 10",
          "vendor": "Huawei",
          "versions": [
            {
              "status": "affected",
              "version": "The versions before ALP-L29 9.0.0.159(C185)"
            }
          ]
        }
      ],
      "source": "psirt@huawei.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:o:huawei:mate_10_firmware:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "D82F79C9-B7C0-44F9-A83C-B2F82EA7ADB6",
              "versionEndExcluding": "alp-l29_9.0.0.159\\(c185\\)",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        },
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:h:huawei:mate_10:-:*:*:*:*:*:*:*",
              "matchCriteriaId": "394490F2-5E47-4A28-A71C-075DBBA34C9E",
              "vulnerable": false
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ],
      "operator": "AND"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The image processing module of some Huawei Mate 10 smartphones versions before ALP-L29 9.0.0.159(C185) has a memory double free vulnerability. An attacker tricks a user into installing a malicious application, and the application can call special API, which could trigger double free and cause a system crash."
    },
    {
      "lang": "es",
      "value": "El m\u00f3dulo de procesamiento de im\u00e1genes de algunas versiones de tel\u00e9fonos inteligentes Mate 10 de Huawei anteriores a ALP-L29 9.0.0.159 (C185), presentan una vulnerabilidad de doble liberaci\u00f3n de memoria (double free). Un atacante enga\u00f1a a un usuario para instalar una aplicaci\u00f3n maliciosa, y la aplicaci\u00f3n puede llamar a una API especial, lo que podr\u00eda desencadenar una doble liberaci\u00f3n y causar un bloqueo del sistema."
    }
  ],
  "id": "CVE-2019-5305",
  "lastModified": "2026-06-17T02:37:29.213",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "HIGH",
        "cvssData": {
          "accessComplexity": "MEDIUM",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "COMPLETE",
          "baseScore": 7.1,
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:C",
          "version": "2.0"
        },
        "exploitabilityScore": 8.6,
        "impactScore": 6.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": true
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2019-06-06T15:29:01.373",
  "references": [
    {
      "source": "psirt@huawei.com",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20190128-01-ivp-en"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20190128-01-ivp-en"
    }
  ],
  "sourceIdentifier": "psirt@huawei.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-415"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…