VAR-201704-0755
Vulnerability from variot - Updated: 2025-04-20 23:32On Juniper Networks Junos OS 15.1 releases from 15.1R3 to 15.1R4, 16.1 prior to 16.1R3, on M/MX platforms where Enhanced Subscriber Management for DHCPv6 subscribers is configured, a vulnerability in processing IPv6 ND packets originating from subscribers and destined to M/MX series routers can result in a PFE (Packet Forwarding Engine) hang or crash. Juniper Networks Junos OS Contains an input validation vulnerability.Service operation interruption (DoS) An attack may be carried out. Juniper Junos is prone to a denial-of-service vulnerability. Attackers can exploit this issue to crash and hang the affected device, denying service to legitimate users. Juniper Junos OS is a set of network operating system of Juniper Networks (Juniper Networks) dedicated to the company's hardware systems. The operating system provides a secure programming interface and Junos SDK
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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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