VAR-201507-0053
Vulnerability from variot - Updated: 2023-12-18 13:03The Juniper EX4600, QFX3500, QFX3600, and QFX5100 switches with Junos 13.2X51-D15 through 13.2X51-D25, 13.2X51 before 13.2X51-D30, and 14.1X53 before 14.1X53-D10 allows remote attackers to cause a denial of service (CPU consumption) via unspecified vectors. Juniper Junos is prone to a remote denial-of-service vulnerability. An attacker can exploit this issue to cause a high CPU consumption, resulting in a denial-of-service condition. Juniper Networks EX4600, QFX3500, QFX3600 and QFX5100 switche with Junos is a set of network operating systems running on EX4600, QFX3500, QFX3600 and QFX5100 switch devices of Juniper Networks. The operating system provides a secure programming interface and Junos SDK
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],
"trust": 0.8
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"type": {
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/type#",
"sources": {
"@container": "@list",
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/sources#"
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"data": "resource management error",
"sources": [
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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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