PillowApplication · Python

CVE-2023-50447

HIGH · 8.1 CVSS v3.1 Published 2024-01-19
Fix available
A fix is available. Upgrade to after 10.1.0 or later.
See remediation →
90/100
Remediation priority · Urgent
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
Pillow through 10.1.0 allows PIL.ImageMath.eval Arbitrary Code Execution via the environment parameter, a different vulnerability than CVE-2022-22817 (which was about the expression parameter).

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

Pillow through 10.1.0 contains a code execution vulnerability in PIL.ImageMath.eval where the environment parameter can be manipulated to execute arbitrary code. This is a distinct vulnerability from CVE-2022-22817 which targeted the expression parameter.

MitigationUpgrade Pillow to a version beyond 10.1.0 when available; until then, avoid passing untrusted or user-controlled data to the environment parameter of PIL.ImageMath.eval.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
PillowApplication
Affected:<= 10.1.0
Debian LinuxOperating system
Affected:= 10.0

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
High
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify installed Pillow version
    Run 'pip show pillow' or 'python -c "import PIL; print(PIL.__version__)"'
    Affected if Version is 10.1.0 or lower
  2. Locate code using PIL.ImageMath.eval
    Search source code for 'ImageMath.eval' or 'from PIL import ImageMath' patterns
    Affected if Code imports or uses PIL.ImageMath.eval
  3. Check for environment parameter usage
    Review ImageMath.eval calls for the 'environment' keyword argument (e.g., ImageMath.eval(..., environment={...}))
    Affected if The environment parameter is explicitly used in any ImageMath.eval call
  4. Assess environment parameter data source
    Inspect the source of data passed to the environment parameter in the identified calls
    Affected if The environment parameter receives data from user input, request parameters, files, or any untrusted external source

A user is affected if Pillow version is 10.1.0 or lower AND their code uses PIL.ImageMath.eval with an environment parameter that can be influenced by untrusted input.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Upgrade available Upgrade to a release after 10.1.0
Interim mitigation

Upgrade Pillow to a version beyond 10.1.0 when available; until then, avoid passing untrusted or user-controlled data to the environment parameter of PIL.ImageMath.eval.

Recommended fix High confidence

Upgrade to Pillow version 10.2.0 or later (latest stable release)

  1. 1. Identify all Python applications and services that use the Pillow library
  2. 2. Run 'pip show pillow' or check your requirements files to confirm the current installed version
  3. 3. Upgrade Pillow to the latest stable version using: pip install --upgrade Pillow
  4. 4. Verify the upgrade was successful by running: pip show pillow
  5. 5. Restart any services or applications that use Pillow to load the new version
  6. 6. Test that image processing functionality still works correctly in your applications
Caveat Pillow 10.x releases have minimal breaking changes; however, test image processing workflows to confirm compatibility

Generated from the published advisory — verify against the referenced sources before acting.

Fix this in Pillow Scoped from the published advisory
  • Consultation2.0 h
  • Implementation4.0 h
  • Testing4.0 h
  • Review / QA2.0 h
12.0 hours of engineering $2,080
Get the upgrade done

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $3,328.

Scan for this in your stack

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2023-50447 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data