CVE-2022-1678 (GCVE-0-2022-1678)
Vulnerability from cvelistv5 – Published: 2022-05-25 14:49 – Updated: 2024-08-03 00:10
VLAI
EPSS
VEX
Summary
An issue was discovered in the Linux Kernel from 4.18 to 4.19, an improper update of sock reference in TCP pacing can lead to memory/netns leak, which can be used by remote clients.
Severity
5.9 (Medium)
CWE
- CWE-911 - Improper Update of Reference Count
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://bugzilla.openanolis.cn/show_bug.cgi?id=61 | x_refsource_CONFIRM |
| https://lore.kernel.org/all/20200602080425.93712-… | x_refsource_MISC |
| https://github.com/torvalds/linux/commit/0a70f118… | x_refsource_MISC |
| https://gitee.com/anolis/cloud-kernel/commit/bed5… | x_refsource_MISC |
| https://anas.openanolis.cn/cves/detail/CVE-2022-1678 | x_refsource_MISC |
| https://anas.openanolis.cn/errata/detail/ANSA-2022:0143 | x_refsource_MISC |
| https://security.netapp.com/advisory/ntap-2022071… | x_refsource_CONFIRM |
Impacted products
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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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