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CVE-2019-19246 (GCVE-0-2019-19246)

Vulnerability from cvelistv5 – Published: 2019-11-25 16:16 – Updated: 2024-08-05 02:09
VLAI
Summary
Oniguruma through 6.9.3, as used in PHP 7.3.x and other products, has a heap-based buffer over-read in str_lower_case_match in regexec.c.
CWE
  • n/a
References
Show details on NVD website

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      "title": "oniguruma: Heap-based buffer overflow in str_lower_case_match in regexec.c",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2019/cve-2019-19246.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "important",
      "current_release_date": "2026-09-13T00:08:00Z",
      "cve": "CVE-2019-19246",
      "id": "CVE-2019-19246",
      "initial_release_date": "2023-02-15T04:06:19Z",
      "product_status:known_affected": "249",
      "product_status:recommended": "301",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2019-19246",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2019-19246.json",
      "version": "50"
    }
  }
}



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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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