HighCVE-2026-112399

    Pillow: APNG background disposal allocates full canvas before decompression bomb check (CVE-2026-112399)

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

    What is affected, what to do

    A flaw was found in Pillow. A remote attacker can trigger a Denial of Service (DoS) by providing a specially crafted Animated Portable Network Graphics (APNG) image.

    An exploit is publicly available. Update pillow to version 13.0.0, Pillow to version 13.0.0.

    Affected
    • Python-pillow Pillow gte 8.1.0, < 13.0.0..*

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

    Metrics

    8.7

    Priority

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

    Source: Vendor (CNA), CVSS v4

    7.5

    CVSS v3

    Severity High on the scale from 0 to 10.

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

    0.5 %

    EPSS score

    Low — model estimates < 1% exploitation likelihood.

    Source: FIRST EPSS, percentile 44.7

    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
    89.48 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
    PoC (publicly reported)
    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
    8.7 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
    7.5
    CVSS v4

    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
    8.7
    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
    0.5 %
    Low — model estimates < 1% 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
    44.7
    High — this CVE ranks above the median of all CVEs scored today (rank ≥ 36%).
    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: proof of concept · automatable · Technical impact: partial
    Source: CISA Vulnrichment, as of 28 October 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-789

    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 Pillow. A remote attacker can trigger a Denial of Service (DoS) by providing a specially crafted Animated Portable Network Graphics (APNG) image. Pillow allocates memory for the full canvas dimensions before validating safety size limits during initial file opening. Processing such an image can exhaust available system memory and cause the application to crash.

    Source: redhat_csaf, OSV (Open Source Vulnerabilities), NVD (NIST), GitHub Security Advisories, cvelistv5

    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
    python-pillowPillow
    • ≥ 8.1.0, < 13.0.0
    • —
    pythonpillow
    • 8.1.0 – < 13.0.0
    • 13.0.0
    pipPillow
    • >= 8.1.0, < 13.0.0
    • 13.0.0
    pypipillow
    • 8.3.1
    • 8.3.0
    • 9.2.0
    • 12.2.0
    • 10.2.0
    • 10.4.0
    • 8.1.2
    • 9.5.0
    • 8.3.2
    • 12.1.1
    • 11.0.0
    • 11.3.0
    • 9.0.1
    • 12.1.0
    • 10.0.0
    • 8.2.0
    • 9.3.0
    • 12.0.0
    • 8.1.1
    • 11.1.0
    • 10.0.1
    • 8.1.0
    • 9.4.0
    • 11.2.1
    • 9.0.0
    • 8.4.0
    • 9.1.0
    • 12.3.0
    • 10.3.0
    • 9.1.1
    • 10.1.0
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • 13.0.0
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    • —
    Distribution and container packages (1)

    Downstream packages (e.g. Bitnami, Debian, Ubuntu, Red Hat). Versions refer to the distribution, not the vendor.

    Distribution and container packages
    Affected versionsFixed in
    bitnamipillow
    • 8.1.0
    • 13.0.0

    Vendors and products

    Weakness classes (CWE)

    • CWE-789Memory Allocation with Excessive Size Value

      Variant

      The product allocates memory based on an untrusted, large size value, but it does not ensure that the size is within expected limits, allowing arbitrary amounts of memory to be allocated.

      Entry at MITRE CWE-789

    Public exploit references

    Publicly reported proof-of-concepts, exploit modules and detection templates for this vulnerability. NEOSEC links to the original sources only and does not provide any exploit code.

    Public exploit references
    Reference tagged as exploitgithub.com (opens in a new tab)PoC (publicly reported)reported, not verified—

    References & sources

    • github.compython-pillow/Pillow/commit/f1acfc54c53502948d0d14121872061df93…x_refsource_MISC, web, Patch, fix
    • github.compython-pillow/Pillow/releases/tag/13.0.0x_refsource_MISC, web, Release notes, article
    • github.compython-pillow/Pillow/security/advisories/GHSA-5xm2-6676-qcp9x_refsource_CONFIRM, web, Exploit, Mitigation, Patch, Vendor advisory, advisory
    • NVD (NIST)vuln/detail/CVE-2026-112399advisory, web
    • github.compython-pillow/Pillowpackage

    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 modifiedCISA ADP

      CISA assessment (SSVC): exploitation: proof of concept, automatable: yes

      Show 2 original changes
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      Referenceadded
      —
      https://github.com/python-pillow/Pillow/security/advisories/GHSA-5xm2-6676-qcp9
      SSVC assessmentadded
      —
      {"id":"CVE-2026-112399","role":"CISA Coordinator","options":[{"exploitation":"poc"},{"automatable":"yes"},{"technicalImpact":"partial"}],"version":"2.0.3","timestamp":"2026-10-28T15:21:08.274556Z"}

      Source identifier: 134c704f-9b21-4f2e-91b3-4a467353bcc0

    2. Initial analysis by NVDNVD

      Show 5 original changes
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      CVSSadded
      —
      AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
      Product configurationadded
      —
      OR *cpe:2.3:a:python:pillow:*:*:*:*:*:*:*:* versions from (including) 8.1.0 up to (excluding) 13.0.0
      Reference typeadded
      —
      GitHub, Inc.: https://github.com/python-pillow/Pillow/commit/f1acfc54c53502948d0d14121872061df931db48 Types: Patch
      Reference typeadded
      —
      GitHub, Inc.: https://github.com/python-pillow/Pillow/releases/tag/13.0.0 Types: Release Notes
      Reference typeadded
      —
      GitHub, Inc.: https://github.com/python-pillow/Pillow/security/advisories/GHSA-5xm2-6676-qcp9 Types: Exploit, Mitigation, Patch, Vendor Advisory

      Source identifier: nvd@nist.gov

    3. ReceivedGitHub

      Show 7 original changes
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      Descriptionadded
      —
      Pillow is a Python imaging library. From 8.1.0 until 13.0.0, Pillow can allocate an APNG disposal background at the full canvas size before applying the decompression-bomb check. A crafted APNG with a small first frame, a very large declared canvas, and background disposal or first-frame OP_PREVIOUS reaches PngImageFile._seek while Image.open() positions frame zero. The full-canvas allocation occurs inside Image.open() without requiring pixel loading or frame iteration. This can exhaust memory and deny service. This issue is fixed in version 13.0.0.
      CVSSadded
      —
      AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
      Weakness type (CWE)added
      —
      CWE-789
      Affected versions (publisher)added
      —
      New affected value received. <a href="https://github.com/CVEProject/cvelistV5/blob/main/cves/2026/112xxx/CVE-2026-112399.json">CVE-2026-112399</a>
      Referenceadded
      —
      https://github.com/python-pillow/Pillow/commit/f1acfc54c53502948d0d14121872061df931db48
      Referenceadded
      —
      https://github.com/python-pillow/Pillow/releases/tag/13.0.0
      Referenceadded
      —
      https://github.com/python-pillow/Pillow/security/advisories/GHSA-5xm2-6676-qcp9

      Source identifier: security-advisories@github.com

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