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CRITICAL severity

InvokeAI Deserialization of Untrusted Data vulnerabilityGHSA-mcrp-whpw-jp68

CRITICALFix: invoke-ai/InvokeAI@ed46ace

GHSA-mcrp-whpw-jp68 is a critical-severity (CVSS 9.8) Deserialization of Untrusted Data vulnerability in invokeai. A fix is available for invokeai — see the affected versions and patch details below.

Also known asCVE-2024-12029PYSEC-2025-9
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Nov 10, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • A successful exploit gives an attacker total control of the affected component, not partial access.

Exploitation and automatability from CISA’s SSVC triage for GHSA-mcrp-whpw-jp68.

EPSS Exploitation Probability

via FIRST.org ↗
6.0%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs93th percentile — riskier than 93% of all scored CVEsHighest risk
0.00%18.6%37.2%55.8%44.2%6.0%May 26Aug 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

1 pkg affected
🐍invokeai

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious code in model files, which is executed upon loading. This issue is fixed in version 5.4.3rc2.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIinvokeai≥ 5.3.1&&< 5.4.3rc25.4.3rc2pip install --upgrade 'invokeai==5.4.3rc2'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for invokeai, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update invokeai to 5.4.3rc2 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-mcrp-whpw-jp68 is resolved across your whole dependency graph.

  3. Workarounds

    Do not deserialise data from untrusted sources: where the format allows it, restrict deserialisation to an explicit allowlist of expected types, and prefer a data-only format (JSON, Protobuf) over one that can reconstruct arbitrary objects until you can upgrade.

Frequently Asked Questions

A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious code in model files, which is executed upon loading. This issue is fixed in version 5.4.3rc2.
O3 Security · Impact-Aware SCA

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InvokeAI Deserialization of Untrusted Data vulnerability