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PowSyBl Core allows deserialization of untrusted SparseMatrix dataGHSA-f5cx-h789-j959

Fix: powsybl/powsybl-core@8ed16ce

GHSA-f5cx-h789-j959 is a Deserialization of Untrusted Data vulnerability in com.powsybl:powsybl-math. A fix is available for com.powsybl:powsybl-math — see the affected versions and patch details below.

Also known asCVE-2025-47771
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Nov 3, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-f5cx-h789-j959.

EPSS Exploitation Probability

via FIRST.org ↗
0.5%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs44th percentile — riskier than 44% of all scored CVEsHighest risk
0.00%0.34%0.69%1.03%0.5%0.5%May 26Sep 26Nov 26

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

Real-World Exposure

1 pkg affected
☕com.powsybl:powsybl-math

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

Description

Impact

What kind of vulnerability is it? Who is impacted?

This is a disclosure for a security vulnerability in the SparseMatrix class. The vulnerability is a deserialization issue that can lead to a wide range of privilege escalations depending on the circumstances. The problematic area is the read method of the SparseMatrix class. This method takes in an InputStream and returns a SparseMatrix object. We consider this to be a method that can be exposed to untrusted input in at least two use cases:

  • A user can adopt this method in an application where users can submit an InputStream and the application parses it into a SparseMatrix. This can be a multi-tenant application that hosts many different users perhaps with different privilege levels.
  • A user adopts the method for a local tool but receives the InputStream from external sources.

Am I impacted?

You are vulnerable if you import non-controlled serialized SparseMatrix objects.

Patches

com.powsybl:powsybl-math:6.7.2 and higher

Workarounds

Is there a way for users to fix or remediate the vulnerability without upgrading?

Do not use SparseMatrix deserialization (SparseMatrix.read(...) methods).

References

powsybl-core v6.7.2

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
☕Mavencom.powsybl:powsybl-math≥ 6.3.0&&< 6.7.26.7.2com.powsybl:powsybl-math:6.7.2

Detection & mitigation playbook

Open-source dependency
  1. Detect

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

  2. Fix

    Update com.powsybl:powsybl-math to 6.7.2 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-f5cx-h789-j959 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

### Impact _What kind of vulnerability is it? Who is impacted?_ This is a disclosure for a security vulnerability in the `SparseMatrix` class. The vulnerability is a deserialization issue that can lead to a wide range of privilege escalations depending on the circumstances. The problematic area is the `read` method of the `SparseMatrix` class. This method takes in an `InputStream` and returns a `SparseMatrix` object. We consider this to be a method that can be exposed to untrusted input in at least two use cases: - A user can adopt this method in an application where users can submit an `Inpu
O3 Security · Impact-Aware SCA

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PowSyBl Core allows deserialization of untrusted…