VAR-201711-0228

Vulnerability from variot - Updated: 2025-04-20 23:22

S3300 V100R006C05 have an Ethernet in the First Mile (EFM) flapping vulnerability due to the lack of type-length-value (TLV) consistency check. An attacker may craft malformed packets and send them to a device to cause EFM flapping. Huawei S3300 Contains vulnerabilities related to channel and path errors.Service operation interruption (DoS) There is a possibility of being put into a state. HuaweiS3300 is a Huawei switch device. The EFM feature flapping vulnerability is generated on the Huawei S3300. The device is faulty. As a result, the EFM service flaps. Huawei S3300 is prone to a remote denial-of-service vulnerability. Successful exploits may allow the attacker to cause denial-of-service condition. Huawei S3300 is a 100M Ethernet switch product of China Huawei (Huawei). There is a security vulnerability in the Huawei S3300 V100R006C05 version using the VRP platform

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}



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Tags
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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