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Red Hat Security Advisory 2023-5788-01
Red Hat Security Advisory 2023-5788-01 - Python-reportlab is a library used for generation of PDF documents. Issues addressed include a code execution vulnerability.
The following data is constructed from data provided by Red Hat's json file at:https://access.redhat.com/security/data/csaf/v2/advisories/2023/rhsa-2023_5788.jsonRed Hat officially shut down their mailing list notifications October 10, 2023. Due to this, Packet Storm has recreated the below data as a reference point to raise awareness. It must be noted that due to an inability to easily track revision updates without crawling Red Hat's archive, these advisories are single notifications and we strongly suggest that you visit the Red Hat provided links to ensure you have the latest information available if the subject matter listed pertains to your environment.- Packet Storm Staff====================================================================Red Hat Security AdvisorySynopsis: Important: python-reportlab security updateAdvisory ID: RHSA-2023:5788-01Product: Red Hat Enterprise LinuxAdvisory URL: https://access.redhat.com/errata/RHSA-2023:5788Issue date: 2023-10-17Revision: 01CVE Names: CVE-2019-19450====================================================================Summary: An update for python-reportlab is now available for Red Hat Enterprise Linux 8.2 Advanced Update Support, Red Hat Enterprise Linux 8.2 Telecommunications Update Service, and Red Hat Enterprise Linux 8.2 Update Services for SAP Solutions.Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.Description:Python-reportlab is a library used for generation of PDF documents.Security Fix(es):* python-reportlab: code injection in paraparser.py allows code execution (CVE-2019-19450)For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.Solution:https://access.redhat.com/articles/11258CVEs:CVE-2019-19450References:https://access.redhat.com/security/updates/classification/#importantRelated news
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Red Hat Security Advisory 2023-5786-01 - Python-reportlab is a library used for generation of PDF documents. Issues addressed include a code execution vulnerability.
Red Hat Security Advisory 2023-5616-01 - Python-reportlab is a library used for generation of PDF documents. Issues addressed include a code execution vulnerability.
An update for python-reportlab is now available for Red Hat Enterprise Linux 7. Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original. Related CVEs: * CVE-2019-19450: A code injection vulnerability was found in python-reportlab that may allow an attacker to execute code while parsing a unichar element attribute. An application that uses python-reportlab to parse untrusted input files may be vulnerable and could allow remote code execution.
paraparser in ReportLab before 3.5.31 allows remote code execution because start_unichar in paraparser.py evaluates untrusted user input in a unichar element in a crafted XML document with '<unichar code="' followed by arbitrary Python code, a similar issue to CVE-2019-17626.
paraparser in ReportLab before 3.5.31 allows remote code execution because start_unichar in paraparser.py evaluates untrusted user input in a unichar element in a crafted XML document with '<unichar code="' followed by arbitrary Python code, a similar issue to CVE-2019-17626.