CVE-2025-61622: Apache Pyfory python is vulnerable to deserialization of untrusted data
Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources.
Published Oct 1, 2025 · Updated Nov 5, 2025
Affected packages
pyfory
- Ecosystem
- PyPI
- Affected
- >= 0.12.0, < 0.12.3
- Fixed in
- 0.12.3
- Check
pip show pyfory
pyfury
- Ecosystem
- PyPI
- Affected
- >= 0.1.0, <= 0.10.3
- Fixed in
- No patched version yet
- Check
pip show pyfury
Advisory details
From the GitHub Advisory Database (CC BY 4.0).
Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stream that selects pickle-fallback serializer during deserialization, leading to the execution of pickle.loads, which is vulnerable to remote code execution.
Users are recommended to upgrade to pyfory version 0.12.3 or later, which has removed pickle fallback serializer and thus fixes this issue.
References
- https://nvd.nist.gov/vuln/detail/CVE-2025-61622
- https://lists.apache.org/thread/vfn9hp9qt06db5yo1gmj3l114o3o2csd
- https://github.com/apache/fory/pull/2629
- https://github.com/apache/fory/commit/379b948ecae5c3b849e5bdb3997978c9a163e40b
- https://github.com/apache/fory/releases/tag/v0.12.3
- https://github.com/advisories/GHSA-538v-3wq9-4h3r
How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology