CVE-2020-3703 (GCVE-0-2020-3703)
Vulnerability from cvelistv5 – Published: 2020-11-02 06:21 – Updated: 2024-08-04 07:44
VLAI
EPSS
VEX
Summary
u'Buffer over-read issue in Bluetooth peripheral firmware due to lack of check for invalid opcode and length of opcode received from central device(This CVE is equivalent to Link Layer Length Overfow issue (CVE-2019-16336,CVE-2019-17519) and Silent Length Overflow issue(CVE-2019-17518) mentioned in sweyntooth paper)' in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music in APQ8053, APQ8076, AR9344, Bitra, Kamorta, MDM9206, MDM9207C, MDM9607, MSM8905, MSM8917, MSM8937, MSM8940, MSM8953, Nicobar, QCA6174A, QCA9377, QCM2150, QCM6125, QCS404, QCS405, QCS605, QCS610, QM215, Rennell, SC8180X, SDM429, SDM439, SDM450, SDM630, SDM632, SDM636, SDM660, SDM670, SDM710, SDM845, SDX20, SDX24, SM6150, SM7150, SM8150, SXR1130
Severity
9.8 (Critical)
CWE
- Buffer Over-read Issue in Bluetooth Firmware(Sweyntooth 6.1,6.4)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.qualcomm.com/company/product-security… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Qualcomm, Inc. | Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music |
Affected:
APQ8053, APQ8076, AR9344, Bitra, Kamorta, MDM9206, MDM9207C, MDM9607, MSM8905, MSM8917, MSM8937, MSM8940, MSM8953, Nicobar, QCA6174A, QCA9377, QCM2150, QCM6125, QCS404, QCS405, QCS605, QCS610, QM215, Rennell, SC8180X, SDM429, SDM439, SDM450, SDM630, SDM632, SDM636, SDM660, SDM670, SDM710, SDM845, SDX20, SDX24, SM6150, SM7150, SM8150, SXR1130
|
guessed |
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"value": "Un problema de lectura excesiva del b\u00fafer en el firmware del perif\u00e9rico Bluetooth debido a una falta de comprobaci\u00f3n del opcode no v\u00e1lido y la longitud del opcode recibido del dispositivo central (este CVE es equivalente a un problema de Link Layer Length Overfow (CVE-2019-16336, CVE-2019-17519) ) y un problema de Silent Length Overflow (CVE-2019-17518) mencionado en sweyntooth paper) en los productos Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice \u0026amp; Music en versiones APQ8053, APQ8076, AR9344, Bitra, Kamorta, MDM9206, MDM9207C, MDM9607, MSM8905, MSM8917, MSM8937, MSM8940, MSM8953, Nicobar, QCA6174A, QCA9377, QCM2150, QCM6125, QCS404, QCS405, QCS605, QCS610, QM215, Rennell, SC8180X, SDM429, SDM439, SDM450, SDM630, SDM632, SDM636, SDM660, SDM670, SDM710, SDM845, SDX20, SDX24, SM6150, SM7150, SM8150, SXR1130"
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"cve": "CVE-2020-3703",
"id": "CVE-2020-3703",
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}
}
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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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