VAR-202101-1690
Vulnerability from variot - Updated: 2024-11-23 23:04On Juniper Networks Junos EX series, QFX Series, MX Series and SRX branch series devices, a memory leak occurs every time the 802.1X authenticator port interface flaps which can lead to other processes, such as the pfex process, responsible for packet forwarding, to crash and restart. An administrator can use the following CLI command to monitor the status of memory consumption: user@device> show task memory detail Please refer to https://kb.juniper.net/KB31522 for details. This issue affects Juniper Networks Junos OS: 14.1X53 versions prior to 14.1X53-D54; 15.1X49 versions prior to 15.1X49-D240 ; 15.1X53 versions prior to 15.1X53-D593; 16.1 versions prior to 16.1R7-S8; 17.2 versions prior to 17.2R3-S4; 17.3 versions prior to 17.3R3-S8; 17.4 versions prior to 17.4R2-S11, 17.4R3-S2; 18.1 versions prior to 18.1R3-S10 ; 18.2 versions prior to 18.2R2-S7, 18.2R3-S3; 18.3 versions prior to 18.3R2-S4, 18.3R3-S2; 18.4 versions prior to 18.4R1-S7, 18.4R2-S4, 18.4R3-S2; 19.1 versions prior to 19.1R1-S5, 19.1R2-S2, 19.1R3; 19.2 versions prior to 19.2R1-S5, 19.2R2; 19.3 versions prior to 19.3R2-S3, 19.3R3; 19.4 versions prior to 19.4R1-S2, 19.4R2. This issue does not affect Juniper Networks Junos OS 12.3, 15.1. plural Juniper Networks Runs on the device Junos OS Is vulnerable to a lack of resource release after a valid lifetime.Denial of service (DoS) It may be put into a state. The operating system provides a secure programming interface and Junos SDK. The following products and models are affected: Junos OS EX, Junos OS QFX, Junos OS SRX
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Sightings and recorded dates, grouped by day · UTC
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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.
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.