FKIE_CVE-2019-18810
Vulnerability from fkie_nvd - Published: 2019-11-07 16:15 - Updated: 2026-06-17 02:25
Severity
Summary
A memory leak in the komeda_wb_connector_add() function in drivers/gpu/drm/arm/display/komeda/komeda_wb_connector.c in the Linux kernel before 5.3.8 allows attackers to cause a denial of service (memory consumption) by triggering drm_writeback_connector_init() failures, aka CID-a0ecd6fdbf5d.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://cdn.kernel.org/pub/linux/kernel/v5.x/ChangeLog-5.3.8 | Mailing List, Vendor Advisory | |
| cve@mitre.org | https://git.kernel.org/cgit/linux/kernel/git/torvalds/linux.git/commit/?id=a0ecd6fdbf5d648123a7315c695fb6850d702835 | Mailing List, Patch, Vendor Advisory | |
| cve@mitre.org | https://security.netapp.com/advisory/ntap-20191205-0001/ | Third Party Advisory | |
| cve@mitre.org | https://usn.ubuntu.com/4208-1/ | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://cdn.kernel.org/pub/linux/kernel/v5.x/ChangeLog-5.3.8 | Mailing List, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://git.kernel.org/cgit/linux/kernel/git/torvalds/linux.git/commit/?id=a0ecd6fdbf5d648123a7315c695fb6850d702835 | Mailing List, Patch, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://security.netapp.com/advisory/ntap-20191205-0001/ | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://usn.ubuntu.com/4208-1/ | Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| linux | linux_kernel | * | |
| canonical | ubuntu_linux | 18.04 | |
| canonical | ubuntu_linux | 19.10 |
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"value": "Una p\u00e9rdida de memoria en la funci\u00f3n komeda_wb_connector_add() en el archivo drivers/gpu/drm/arm/display/komeda/komeda_wb_connector.c en el kernel de Linux versiones anteriores a 5.3.8, permite a atacantes causar una denegaci\u00f3n de servicio (consumo de memoria) mediante la activaci\u00f3n de fallos de la funci\u00f3n drm_writeback_connector_init() , tambi\u00e9n se conoce como CID-a0ecd6fdbf5d."
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"lastModified": "2026-06-17T02:25:22.890",
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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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