VAR-201611-0326

Vulnerability from variot - Updated: 2023-12-18 13:09

In Wireshark 2.2.0 to 2.2.1, the Profinet I/O dissector could loop excessively, triggered by network traffic or a capture file. This was addressed in plugins/profinet/packet-pn-rtc-one.c by rejecting input with too many I/O objects. Wireshark (formerly known as Ethereal) is a suite of network packet analysis software developed by the Wireshark team. The function of the software is to intercept network packets and display detailed data for analysis. A denial of service vulnerability exists in Wireshark versions 2.2.0 through 2.2.1 and Profinet I/O parsers in versions 2.0.0 through 2.0.7. An attacker could exploit the vulnerability to cause a denial of service (crash). Wireshark is prone to a remote denial-of-service vulnerability because it fails to properly handle certain types of packets. Successful exploitation of the issue will cause excessive CPU resource consumption, resulting in a denial-of-service condition. Wireshark 2.2.0 and 2.2.1 vulnerable

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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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