VAR-201511-0107

Vulnerability from variot - Updated: 2025-04-13 23:09

Huawei NE20E-S, NE40E-M, and NE40E-M2 routers with software before V800R007C10SPC100 and NE40E and NE80E routers with software before V800R007C00SPC100 allows remote attackers to send packets to other VPNs and conduct flooding attacks via a crafted MPLS forwarding packet, aka a "VPN routing and forwarding (VRF) hopping vulnerability.". Huawei NE series routers are Huawei's high-end router products for carrier data communication networks. A remote attacker can perform a flood attack on the target VPN. Huawei NE20E-S, NE40E-M, NE40E-M2, NE40E, and NE80E are all router products of Huawei in China. There are security vulnerabilities in several Huawei routers. The following products and versions are affected: Huawei NE20E-S, NE40E-M, and NE40E-M2 running software V800R006 and V800R007C00, and NE40E and NE80E running software V800R006

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Taxonomy of the tags.


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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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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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