VAR-201810-0059

Vulnerability from variot - Updated: 2024-11-23 21:02

Possible buffer overflow if input is not null terminated in DSP Service module in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in version MDM9206, MDM9607, MDM9650, MSM8909W, MSM8996AU, SD 210/SD 212/SD 205, SD 450, SD 615/16/SD 415, SD 625, SD 650/52, SD 820, SD 820A, SD 835, SDX20. Snapdragon Automobile , Snapdragon Mobile , Snapdragon Wear Contains a buffer error vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. Qualcomm MDM9206, etc. are the central processing unit (CPU) products of Qualcomm (Qualcomm) applied to different platforms. DSP Service module is one of the DSP (Digital Signal Processing) service modules. A buffer overflow vulnerability exists in DSP Services in several Qualcomm Snapdragon products. An attacker could exploit this vulnerability to cause a denial of service or execute code

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        "id": "CNNVD-201810-1156"
      }
    ],
    "trust": 0.6
  },
  "title": {
    "_id": null,
    "data": "plural  Snapdragon Product buffer error vulnerability",
    "sources": [
      {
        "db": "JVNDB",
        "id": "JVNDB-2017-014303"
      }
    ],
    "trust": 0.8
  },
  "type": {
    "_id": null,
    "data": "buffer overflow",
    "sources": [
      {
        "db": "CNNVD",
        "id": "CNNVD-201810-1156"
      }
    ],
    "trust": 0.6
  }
}



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Sightings

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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.
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  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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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.