CVE-2019-15948 (GCVE-0-2019-15948)
Vulnerability from cvelistv5 – Published: 2019-11-13 15:06 – Updated: 2024-08-05 01:03
VLAI
EPSS
VEX
Summary
Texas Instruments CC256x and WL18xx dual-mode Bluetooth controller devices, when LE scan mode is used, allow remote attackers to trigger a buffer overflow via a malformed Bluetooth Low Energy advertising packet, to cause a denial of service or potentially execute arbitrary code. This affects CC256xC-BT-SP 1.2, CC256xB-BT-SP 1.8, and WL18xx-BT-SP 4.4.
Severity
8.8 (High)
CWE
- n/a
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://www.linkedin.com/in/veronica-kovah-2587185 | x_refsource_MISC |
| https://e2e.ti.com/support/wireless-connectivity/… | x_refsource_MISC |
| https://github.com/darkmentorllc/publications/tre… | x_refsource_MISC |
| https://github.com/darkmentorllc/jackbnimble/blob… | x_refsource_MISC |
| https://www.youtube.com/watch?v=bk5lOxieqbA | x_refsource_MISC |
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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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