SUSE-SU-2017:2105-1

Vulnerability from csaf_suse - Published: 2017-08-08 13:27 - Updated: 2026-09-20 12:30
Summary
Security update for python-tablib
Severity
Moderate
Notes
Title of the patch: Security update for python-tablib
Description of the patch: This update for python-tablib fixes the following issues: - CVE-2017-2810: Use yaml.safe_load and yaml.safe_dump to avoid executing code when importing data (bsc#1044329)
Patchnames: SUSE-OpenStack-Cloud-6-2017-1306,SUSE-OpenStack-Cloud-7-2017-1306,SUSE-SLE-Module-Public-Cloud-12-2017-1306
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: SUSE Linux Enterprise High Performance Computing 12:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Module for Public Cloud 12:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 12 SP3:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 12 SP4:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 12 SP5-LTSS:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 12 SP5:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 12:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server LTSS Extended Security 12 SP5:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 12 SP3:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 12 SP4:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 12:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE OpenStack Cloud 6:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Unresolved product id: SUSE OpenStack Cloud 7:python-tablib-0:0.9.11-3.1.noarch —
Vendor Fix
Threats
Impact moderate

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          "text": "An exploitable vulnerability exists in the Databook loading functionality of Tablib 0.11.4. A yaml loaded Databook can execute arbitrary python commands resulting in command execution. An attacker can insert python into loaded yaml to trigger this vulnerability.",
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            "SUSE Linux Enterprise Module for Public Cloud 12:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server 12 SP3:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server 12 SP4:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server 12 SP5-LTSS:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server 12 SP5:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server 12:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server LTSS Extended Security 12 SP5:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server for SAP Applications 12 SP3:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server for SAP Applications 12 SP4:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE Linux Enterprise Server for SAP Applications 12:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE OpenStack Cloud 6:python-tablib-0:0.9.11-3.1.noarch",
            "SUSE OpenStack Cloud 7:python-tablib-0:0.9.11-3.1.noarch"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "date": "2017-08-08T13:27:51Z",
          "details": "moderate"
        }
      ],
      "title": "CVE-2017-2810"
    }
  ]
}



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Tags
Taxonomy of the tags.


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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Events included in the timeline

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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.