CVE-2022-33301 (GCVE-0-2022-33301)

Vulnerability from cvelistv5 – Published: 2023-04-04 04:46 – Updated: 2024-08-03 08:01
VLAI
Title
Incorrect type conversion or cast in Audio
Summary
Memory corruption due to incorrect type conversion or cast in audio while using audio playback/capture when crafted address is sent from AGM IPC to AGM.
CWE
  • CWE-704 - Incorrect Type Conversion or Cast
Assigner
qualcomm CNA under the mitre root
CNA scorecard C 61/100 over 89 records in the last 180 days details
Impacted products
Vendor Product Version CPE status
Qualcomm, Inc. Snapdragon Affected: QCA6595
Affected: QCA6595AU
Affected: QCA6696
Affected: SA6150P
Affected: SA6155P
Affected: SA8145P
Affected: SA8150P
Affected: SA8155P
Affected: SA8195P
Affected: Snapdragon W5+ Gen 1 Wearable Platform
Affected: SW5100
Affected: SW5100P
Affected: WCN3980
Affected: WCN3988
Affected: WSA8830
Affected: WSA8835
guessed Create a notification for this product.
Show details on NVD website

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          }
        ]
      }
    },
    "redhat_vex": {
      "current_release_date": "2025-05-29T01:33:51+00:00",
      "cve": "CVE-2022-33301",
      "id": "CVE-2022-33301",
      "initial_release_date": "2022-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Incorrect type conversion or cast in Audio",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-33301.json",
      "version": "3"
    }
  }
}



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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

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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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    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.