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CVE-2016-9376 (GCVE-0-2016-9376)

Vulnerability from cvelistv5 – Published: 2016-11-17 05:48 – Updated: 2024-08-06 02:50
VLAI
Summary
In Wireshark 2.2.0 to 2.2.1 and 2.0.0 to 2.0.7, the OpenFlow dissector could crash with memory exhaustion, triggered by network traffic or a capture file. This was addressed in epan/dissectors/packet-openflow_v5.c by ensuring that certain length values were sufficiently large.
CWE
  • n/a
References
Date Public
2016-11-16 00:00
Show details on NVD website

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      "product_status:known_affected": "1",
      "product_status:recommended": "576",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2016-9376",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2016-9376.json",
      "version": "16"
    }
  }
}



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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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Detection rules are retrieved from Rulezet.

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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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