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CVE-2022-41325 (GCVE-0-2022-41325)

Vulnerability from cvelistv5 – Published: 2022-12-06 00:00 – Updated: 2025-04-23 19:35
VLAI
Summary
An integer overflow in the VNC module in VideoLAN VLC Media Player through 3.0.17.4 allows attackers, by tricking a user into opening a crafted playlist or connecting to a rogue VNC server, to crash VLC or execute code under some conditions.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 19:35 UTC
CWE
  • n/a
  • CWE-190 - Integer Overflow or Wraparound
Show details on NVD website

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        "datePublished": "2022-12-06T00:00:00.000Z",
        "dateReserved": "2022-09-23T00:00:00.000Z",
        "dateUpdated": "2025-04-23T19:35:53.234Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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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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