HighCVE-2026-24486

    Python-Multipart has Arbitrary File Write via Non-Default Configuration (CVE-2026-24486)

    Published Last modified Sources: Red Hat, OSV, CVE.org, BSI

    What is affected, what to do

    A flaw was found in Python-Multipart, a tool for parsing multipart form data in Python applications. This vulnerability, known as path traversal, allows a remote attacker to write uploaded files to any location on the server's file system.

    Update Kludex Python-multipart to version 0.0.22.

    Affected
    • Kludex Python-multipart lt *..0.0.22
    Fixed in
    • Kludex Python-multipart 0.0.22

    Not sure whether and how you are affected? Ask a question about this vulnerability

    Metrics

    8.6

    Priority

    XIEM Effective CVSS: highest available CVSS rating from NVD and vendor data.

    Source: Vendor (CNA), CVSS v3

    8.6

    CVSS v3

    Severity High on the scale from 0 to 10.

    Source: Red Hat, OSV, CVE.org, BSI

    2.2 %

    EPSS score

    Moderate — model estimates 1-10% exploitation likelihood.

    Source: FIRST EPSS, percentile 82.6

    Show all metrics
    Severity
    High
    Priority (0–325)

    The priority score is a consolidated metric that condenses several individual signals into a single, action-guiding ranking: technical severity (CVSS), exploitation likelihood (EPSS), known-exploited status (KEV) and the context of the affected asset. The aim is to answer the only truly important question in vulnerability management: what first?

    Read in glossary
    111.28 Methodology
    Exploit maturity

    An exploit is code or a technique that specifically uses a concrete vulnerability to force unintended behaviour — such as executing code or escalating privileges. It is the tool that turns a theoretical flaw into a practical attack.

    Read in glossary
    no public PoC known
    XIEM Effective CVSS

    XIEM® is the tiered managed-security operating model from NEOSEC and a registered trademark of NEOSEC GmbH. It extends classic SIEM — the central collection, normalisation and correlation of security-relevant events — with endpoint forensics, network visibility and deception technology, and consolidates them into three building tiers: Sentry, Orchestrate and Command.

    Read in glossary
    8.6 Methodology
    CVSS v3

    CVSS is the globally established, open standard for assessing the technical severity of a vulnerability on a scale from 0 to 10. It describes how easily a flaw can be exploited and what damage it can cause — but not how likely its actual exploitation is. CVSS and the complementary EPSS deliberately answer different questions.

    Read in glossary
    8.6
    EPSS score

    The EPSS score is the absolute model output for an individual vulnerability: the estimated probability of real-world exploitation within the next 30 days, expressed as a value between 0 and 1 (i.e. 0 % to 100 %). A score of 0.42 means „the model estimates a 42 % chance of real-world exploitation within 30 days“.

    Read in glossary
    2.2 %
    Moderate — model estimates 1-10% exploitation likelihood.
    EPSS percentile

    The EPSS percentile is the relative position of a vulnerability within all EPSS-scored CVEs, expressed as a value between 0 and 1. A percentile of 0.90 means „this CVE has a higher EPSS score than 90 % of all other scored CVEs“. Unlike the EPSS score, it is not a probability — but a positioning within a ranking.

    Read in glossary
    82.6
    Critical — this CVE ranks in the top fifth of all CVEs scored today (rank ≥ 80%).
    KEV status

    The KEV catalogue is a list maintained by the US authority CISA of vulnerabilities for which active exploitation in the wild has been confirmed. It answers not the question „how severe?“ but „is it already being attacked?“ — thereby sharply prioritising patching.

    Read in glossary
    —
    Published
    CISA assessment (SSVC)
    Exploitation: none known · not automatable · Technical impact: partial
    Source: CISA Vulnrichment, as of 27 January 2026
    CWE

    CWE is a catalogue of typical weakness types in software and hardware — such as flawed input validation, unsafe memory handling or poor authentication. Where a CVE names a concrete vulnerability in a concrete product, a CWE describes the underlying class of defect.

    Read in glossary
    CWE-22

    Detection rules

    No NEOSEC detection rule is available for this vulnerability yet.

    Classification under NIS2 and CRA

    Rule-based classification from exploitation status and severity. It does not replace a case-by-case assessment.

    NIS2

    NIS2 is EU Directive (EU) 2022/2555 to raise the level of cybersecurity across the Union. It substantially broadens obligations compared with the first NIS directive: more sectors, mandatory risk management, staged reporting duties and personal accountability of senior management.

    Read in glossary
    High technical severity: assess and remediate the vulnerability in vulnerability handling under Art. 21(2)(e) NIS2 and document the decision.
    CRA

    The CRA is EU Regulation (EU) 2024/2847 setting horizontal cybersecurity requirements for „products with digital elements“ — from industrial controllers and software to connected consumer devices. For the first time manufacturers must ensure security across the entire product lifecycle, handle vulnerabilities and provide security updates.

    Read in glossary
    From 11.12.2027, Annex I Part II CRA requires manufacturers of affected products with digital elements to handle vulnerabilities without delay and provide security updates.
    ISO/IEC 27001

    ISO/IEC 27001 is the internationally leading standard for an information security management system (ISMS). It describes a risk-based, process-oriented framework to systematically plan, implement, review and improve information security.

    Read in glossary
    Control A.8.8, management of technical vulnerabilities: assess relevance to your systems, plan remediation and keep evidence.

    Description

    A flaw was found in Python-Multipart, a tool for parsing multipart form data in Python applications. This vulnerability, known as path traversal, allows a remote attacker to write uploaded files to any location on the server's file system. This exploitation occurs when specific non-default configuration options, `UPLOAD_DIR` and `UPLOAD_KEEP_FILENAME=True`, are enabled, and a malicious filename is provided during a file upload. The primary consequence is unauthorized file creation or modification, which could lead to system compromise.

    Source: redhat_csaf, OSV (Open Source Vulnerabilities), NVD (NIST), CVE.org (MITRE), cvelistv5, BSI WID Portal, BSI CSAF

    Affected products

    The following versions are affected. Older releases of the same product line are also vulnerable unless stated otherwise.

    Affected products
    Affected versionsFixed in
    Kludexpython-multipart
    • < 0.0.22
    • 0.0.22
    fastapiexpertpython-multipart
    • < 0.0.22
    • 0.0.22
    IBMConcert
    • < 3.0.0
    • 3.0.0
    pypipython-multipart
    • 0.0.8
    • 0.0.7
    • 0.0.2
    • 0.0.13
    • 0.0.17
    • 0.0.5
    • 0.0.14
    • 0.0.12
    • 0.0.4
    • 0.0.20
    • 0.0.19
    • 0.0.3
    • 0.0.9
    • 0.0.10
    • 0.0.1
    • 0.0.11
    • 0.0.15
    • 0.0.21
    • 0.0.18
    • 0.0.16
    • 0.0.6
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    Vendors and products

    Weakness classes (CWE)

    • CWE-22Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

      Base

      The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

      Entry at MITRE CWE-22

    References & sources

    Changes to this CVE

    Who changed this CVE and when: NVD (analysis, affected products, CVSS), the CVE publisher (CNA) and additional providers such as CISA (ADP).

    1. Record modifiedRed Hat ADP

      Show 2 original changes
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      Referenceadded
      —
      https://access.redhat.com/errata/RHSA-2026:44696
      Affected versions (publisher)changed
      Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.2, Red Hat Ansible Automation Platform 2.6 (+62)
      Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.2, Red Hat Ansible Automation Platform 2.6 (+62)

      Source identifier: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c

    2. Record modifiedRed Hat ADP

      Show 2 original changes
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      Referenceadded
      —
      https://access.redhat.com/errata/RHSA-2026:42644
      Affected versions (publisher)changed
      Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.2, Red Hat Ansible Automation Platform 2.6 (+62)
      Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.2, Red Hat Ansible Automation Platform 2.6 (+62)

      Source identifier: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c

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