CVE-2022-33240 (GCVE-0-2022-33240)
Vulnerability from cvelistv5 – Published: 2023-06-06 07:38 – Updated: 2024-08-03 08:01
VLAI
EPSS
VEX
Title
Incorrect type conversion or cast in Audio
Summary
Memory corruption in Audio due to incorrect type cast during audio use-cases.
Severity
6.7 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-11 20:21 UTC
CWE
- CWE-704 - Incorrect Type Conversion or Cast
Assigner
References
1 reference
Impacted products
10 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 |
guessed | |
| qualcomm | qca6595_firmware |
Affected:
0 , ≤ *
(custom)
cpe:2.3:o:qualcomm:qca6595_firmware:-:*:*:*:*:*:*:* |
||
| qualcomm | qca6595au_firmware |
Affected:
0 , ≤ *
(custom)
cpe:2.3:o:qualcomm:qca6595au_firmware:-:*:*:*:*:*:*:* |
||
| qualcomm | qca6696_firmware |
Affected:
0 , ≤ *
(custom)
cpe:2.3:o:qualcomm:qca6696_firmware:-:*:*:*:*:*:*:* |
||
| qualcomm | sa6150p_firmware |
Affected:
0 , ≤ *
(custom)
cpe:2.3:o:qualcomm:sa6150p_firmware:-:*:*:*:*:*:*:* |
||
| qualcomm | sa6155p_firmware |
Affected:
0 , ≤ *
(custom)
cpe:2.3:o:qualcomm:sa6155p_firmware:-:*:*:*:*:*:*:* |
||
| qualcomm | sa8145p_firmware |
Affected:
0 , ≤ *
(custom)
cpe:2.3:o:qualcomm:sa8145p_firmware:-:*:*:*:*:*:*:* |
||
| qualcomm | sa8150p_firmware |
Affected:
0 , ≤ *
(custom)
cpe:2.3:o:qualcomm:sa8150p_firmware:-:*:*:*:*:*:*:* |
||
| qualcomm | sa8155p_firmware |
Affected:
0 , ≤ *
(custom)
cpe:2.3:o:qualcomm:sa8155p_firmware:-:*:*:*:*:*:*:* |
||
| qualcomm | sa8195p_firmware |
Affected:
0 , ≤ *
(custom)
cpe:2.3:o:qualcomm:sa8195p_firmware:-:*:*:*:*:*:*:* |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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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.
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.
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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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