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OPENSUSE-SU-2019:2671-1

Vulnerability from csaf_opensuse - Published: 2019-12-11 09:15 - Updated: 2019-12-11 09:15
Summary
Security update for opencv
Severity
Moderate
Notes
Title of the patch: Security update for opencv
Description of the patch: This update for opencv fixes the following issues: Security issues fixed: - CVE-2019-14491: Fixed an out of bounds read in the function cv:predictOrdered<cv:HaarEvaluator>, leading to DOS (bsc#1144352). - CVE-2019-14492: Fixed an out of bounds read/write in the function HaarEvaluator:OptFeature:calc, which leads to denial of service (bsc#1144348). - CVE-2019-15939: Fixed a divide-by-zero error in cv:HOGDescriptor:getDescriptorSize (bsc#1149742). Non-security issue fixed: - Fixed an issue in opencv-devel that broke builds with 'No rule to make target opencv_calib3d-NOTFOUND' (bsc#1154091). This update was imported from the SUSE:SLE-15:Update update project.
Patchnames: openSUSE-2019-2671
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Product Identifier Version Remediation
Unresolved product id: openSUSE Leap 15.1:libopencv3_3-3.3.1-lp151.6.3.1.x86_64
Vendor Fix
Unresolved product id: openSUSE Leap 15.1:opencv-3.3.1-lp151.6.3.1.x86_64
Vendor Fix
Unresolved product id: openSUSE Leap 15.1:opencv-devel-3.3.1-lp151.6.3.1.x86_64
Vendor Fix
Unresolved product id: openSUSE Leap 15.1:opencv-doc-3.3.1-lp151.6.3.1.x86_64
Vendor Fix
Unresolved product id: openSUSE Leap 15.1:python2-opencv-3.3.1-lp151.6.3.1.x86_64
Vendor Fix
Unresolved product id: openSUSE Leap 15.1:python3-opencv-3.3.1-lp151.6.3.1.x86_64
Vendor Fix
Threats
Impact moderate
Affected products
Recommended 6 products, the same list as for CVE-2019-14491
Threats
Impact moderate
Affected products
Recommended 6 products, the same list as for CVE-2019-14491
Threats
Impact low

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      "scores": [
        {
          "cvss_v3": {
            "baseScore": 3.3,
            "baseSeverity": "LOW",
            "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
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      ],
      "threats": [
        {
          "category": "impact",
          "date": "2019-12-11T09:15:03Z",
          "details": "low"
        }
      ],
      "title": "CVE-2019-15939"
    }
  ]
}



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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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