CVE-2019-10153 (GCVE-0-2019-10153)
Vulnerability from cvelistv5 – Published: 2019-07-30 22:10 – Updated: 2024-08-04 22:10
VLAI
EPSS
VEX
Summary
A flaw was discovered in fence-agents, prior to version 4.3.4, where using non-ASCII characters in a guest VM's comment or other fields would cause fence_rhevm to exit with an exception. In cluster environments, this could lead to preventing automated recovery or otherwise denying service to clusters of which that VM is a member.
Severity
5 (Medium)
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2… | x_refsource_CONFIRM |
| https://github.com/ClusterLabs/fence-agents/pull/255 | x_refsource_CONFIRM |
| https://github.com/ClusterLabs/fence-agents/pull/272 | x_refsource_CONFIRM |
| https://access.redhat.com/errata/RHSA-2019:2037 | vendor-advisoryx_refsource_REDHAT |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ClusterLabs | fence-agents |
Affected:
fixed in 4.3.4
|
guessed |
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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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