VAR-201606-0280

Vulnerability from variot - Updated: 2025-04-13 23:29

Double free vulnerability in Cisco IOS XE 3.15S, 3.16S, and 3.17S allows remote authenticated users to cause a denial of service (device restart) via a sequence of crafted SNMP read requests, aka Bug ID CSCux13174. Cisco IOS XE Contains a memory double free vulnerability. Vendors have confirmed this vulnerability Bug ID CSCux13174 It is released as. Supplementary information : CWE Vulnerability type by CWE-415: Double Free ( Double release ) Has been identified. http://cwe.mitre.org/data/definitions/415.htmlBy a remotely authenticated user SNMP of read Service disruption via request ( Reboot device ) There is a possibility of being put into a state. Cisco IOSXE is an operating system developed by Cisco Systems for its network devices. A security vulnerability exists in the SNMP subsystem of Cisco IOSXE

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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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