VAR-201802-0542

Vulnerability from variot - Updated: 2024-11-23 22:22

Huawei AR3200 with software V200R006C10, V200R006C11, V200R007C00, V200R007C01, V200R007C02, V200R008C00, V200R008C10, V200R008C20, V200R008C30 has an integer overflow vulnerability. The software does not sufficiently validate certain field in SCTP messages, a remote unauthenticated attacker could send a crafted SCTP message to the device. Successful exploit could system reboot. The Huawei AR3200 series enterprise router is a new generation network product launched by Huawei. The attacker successfully sends the vulnerability to the system by sending a special SCTP packet to the device. The following versions are affected: Huawei AR3200 V200R006C10, V200R006C11, V200R007C00, V200R007C01, V200R007C02, V200R008C00, V200R008C10, V200R008C20, and V230R008C

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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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.