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    4 vulnerabilities by pyup

    CVE-2022-39280 (GCVE-0-2022-39280)

    Vulnerability from nvd – Published: 2022-10-06 00:00 – Updated: 2025-04-23 16:52
    VLAI
    Title
    Regular expression denial of service in dparse
    Summary
    dparse is a parser for Python dependency files. dparse in versions before 0.5.2 contain a regular expression that is vulnerable to a Regular Expression Denial of Service. All the users parsing index server URLs with dparse are impacted by this vulnerability. A patch has been applied in version `0.5.2`, all the users are advised to upgrade to `0.5.2` as soon as possible. Users unable to upgrade should avoid passing index server URLs in the source file to be parsed.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-400 - Uncontrolled Resource Consumption
    Assigner
    Impacted products
    Vendor Product Version
    pyupio dparse Affected: < 0.5.2
    Create a notification for this product.
    Show details on NVD website

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    CVE-2020-5252 (GCVE-0-2020-5252)

    Vulnerability from nvd – Published: 2020-03-23 23:05 – Updated: 2024-08-04 08:22
    VLAI
    Title
    Malicious package may avoid detection in python auditing
    Summary
    The command-line "safety" package for Python has a potential security issue. There are two Python characteristics that allow malicious code to “poison-pill” command-line Safety package detection routines by disguising, or obfuscating, other malicious or non-secure packages. This vulnerability is considered to be of low severity because the attack makes use of an existing Python condition, not the Safety tool itself. This can happen if: You are running Safety in a Python environment that you don’t trust. You are running Safety from the same Python environment where you have your dependencies installed. Dependency packages are being installed arbitrarily or without proper verification. Users can mitigate this issue by doing any of the following: Perform a static analysis by installing Docker and running the Safety Docker image: $ docker run --rm -it pyupio/safety check -r requirements.txt Run Safety against a static dependencies list, such as the requirements.txt file, in a separate, clean Python environment. Run Safety from a Continuous Integration pipeline. Use PyUp.io, which runs Safety in a controlled environment and checks Python for dependencies without any need to install them. Use PyUp's Online Requirements Checker.
    CWE
    • CWE-807 - Reliance on Untrusted Inputs in a Security Decision
    Assigner
    References
    Impacted products
    Vendor Product Version
    pyupio safety Affected: < 1.9.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2022-39280 (GCVE-0-2022-39280)

    Vulnerability from cvelistv5 – Published: 2022-10-06 00:00 – Updated: 2025-04-23 16:52
    VLAI
    Title
    Regular expression denial of service in dparse
    Summary
    dparse is a parser for Python dependency files. dparse in versions before 0.5.2 contain a regular expression that is vulnerable to a Regular Expression Denial of Service. All the users parsing index server URLs with dparse are impacted by this vulnerability. A patch has been applied in version `0.5.2`, all the users are advised to upgrade to `0.5.2` as soon as possible. Users unable to upgrade should avoid passing index server URLs in the source file to be parsed.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-400 - Uncontrolled Resource Consumption
    Assigner
    Impacted products
    Vendor Product Version
    pyupio dparse Affected: < 0.5.2
    Create a notification for this product.
    Show details on NVD website

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    CVE-2020-5252 (GCVE-0-2020-5252)

    Vulnerability from cvelistv5 – Published: 2020-03-23 23:05 – Updated: 2024-08-04 08:22
    VLAI
    Title
    Malicious package may avoid detection in python auditing
    Summary
    The command-line "safety" package for Python has a potential security issue. There are two Python characteristics that allow malicious code to “poison-pill” command-line Safety package detection routines by disguising, or obfuscating, other malicious or non-secure packages. This vulnerability is considered to be of low severity because the attack makes use of an existing Python condition, not the Safety tool itself. This can happen if: You are running Safety in a Python environment that you don’t trust. You are running Safety from the same Python environment where you have your dependencies installed. Dependency packages are being installed arbitrarily or without proper verification. Users can mitigate this issue by doing any of the following: Perform a static analysis by installing Docker and running the Safety Docker image: $ docker run --rm -it pyupio/safety check -r requirements.txt Run Safety against a static dependencies list, such as the requirements.txt file, in a separate, clean Python environment. Run Safety from a Continuous Integration pipeline. Use PyUp.io, which runs Safety in a controlled environment and checks Python for dependencies without any need to install them. Use PyUp's Online Requirements Checker.
    CWE
    • CWE-807 - Reliance on Untrusted Inputs in a Security Decision
    Assigner
    References
    Impacted products
    Vendor Product Version
    pyupio safety Affected: < 1.9.0
    Create a notification for this product.
    Show details on NVD website

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