How severe is GHSA-6qv6-q77g-7qm6?

GHSA-6qv6-q77g-7qm6 has a CVSS score of 9.8/10, rated CRITICAL. Immediate patching is strongly recommended.

Which packages are affected by GHSA-6qv6-q77g-7qm6?

GHSA-6qv6-q77g-7qm6 affects the following packages: nvflare (PyPI). Ecosystems affected: PyPI.

How do I fix GHSA-6qv6-q77g-7qm6?

Update nvflare to 2.1.4 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-6qv6-q77g-7qm6 is resolved across your whole dependency graph.

How do I detect GHSA-6qv6-q77g-7qm6 in my PyPI dependencies?

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

How do I mitigate GHSA-6qv6-q77g-7qm6 if there is no patch (or I can't update yet)?

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.

Is GHSA-6qv6-q77g-7qm6 actively exploited in the wild?

Yes. There are 1 known exploit references for GHSA-6qv6-q77g-7qm6, including 1 documented proof-of-concept exploit on Exploit-DB. Treat this as actively exploitable and prioritize patching immediately. All exploit code should only be run in an isolated sandbox environment for research or authorized testing — never against production systems without explicit written authorization.

What is the EPSS score for GHSA-6qv6-q77g-7qm6?

GHSA-6qv6-q77g-7qm6 has an EPSS (Exploit Prediction Scoring System) score of 11.6%, placing it in the 96th percentile of all CVEs. EPSS is maintained by FIRST.org and estimates the probability that a vulnerability will be exploited in the wild within the next 30 days. This score warrants monitoring and prompt remediation.

What type of vulnerability is GHSA-6qv6-q77g-7qm6?

GHSA-6qv6-q77g-7qm6 is classified as Deserialization of Untrusted Data (CWE-502). This weakness type describe the underlying flaw category, which helps determine the potential impact and the right class of mitigation. This is a high-impact weakness class that often enables remote code execution or data exposure.

When was GHSA-6qv6-q77g-7qm6 published, and has it been updated?

GHSA-6qv6-q77g-7qm6 was published on August 31, 2022 and was last updated on July 8, 2026. Advisory data evolves as severity scores, affected ranges, and exploit intelligence are revised — always check the latest version of the advisory before acting.

🐍

🐍 PyPI

Not in CISA KEV

CRITICAL severity

NVFLARE unsafe deserialization due to PickleGHSA-6qv6-q77g-7qm6

CRITICALFix: NVIDIA/NVFlare@6cde16f

GHSA-6qv6-q77g-7qm6 is a critical-severity (CVSS 9.8) Deserialization of Untrusted Data vulnerability in nvflare. 1 public exploit or proof-of-concept reference is indexed, so weaponization risk is real. A fix is available for nvflare — see the affected versions and patch details below.

Also known asCVE-2022-34668PYSEC-2022-257

Published

Aug 31, 2022

Updated

Jul 8, 2026

Affected

1 pkg

Patched

1 / 1

Exploits

1 known

Exploitation data as of Nov 6, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗

11.6%probability of exploitation in next 30 days

Moderate Risk0.00%

Lower risk than most CVEs96th percentile — riskier than 96% of all scored CVEsHighest risk

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

🐍nvflare

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

Impact

NVFLARE contains a vulnerability where deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity.

All versions before 2.1.4 are affected.

CVSS Score = 9.8

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

Patches

The patch is included in nvflare==2.1.4 This new version uses MessagePack instead of Pickle to do serialization and deserialization.

Some object serializations supported by Pickle are not supported by MessagePack. We have provided out of box support for some built-in NVFLARE objects. For object serializations unsupported by MessagePack, the user will need to convert the objects to numpy or bytes before sending over to remote machines. The list of supported object types are listed in https://github.com/NVIDIA/NVFlare/blob/2.1/nvflare/fuel/utils/fobs/README.rst

Workarounds

No workarounds available.

Additional information

Issue Found by: Oliver Sellwood (Nintorac) and Elias Hohl

Affected Packages

1 total 1 fixed

Ecosystem	Package	Vulnerable range	Fix
🐍PyPI	`nvflare`	all versions	2.1.4`pip install --upgrade 'nvflare==2.1.4'`

Affected Products

1 product · 1 configurations

Application

nvflarenvidia

< 2.1.4

range

Exploits & PoCs

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

EDB-51051remotepython

NVFLARE < 2.1.4 - Unsafe Deserialization due to Pickle

by Elias Hohl · Mar 25, 2023

Exploit-DB Source

Detection & mitigation playbook

Open-source dependency

Detect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for nvflare, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update nvflare to 2.1.4 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-6qv6-q77g-7qm6 is resolved across your whole dependency graph.
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 NVFLARE contains a vulnerability where deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity. All versions before 2.1.4 are affected. CVSS Score = 9.8 [AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H](https://nvd.nist.gov/vuln-metrics/cvss/v3-calculator?vector=AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) ### Patches The patch is included in nvflare==2.1.4 This new version uses MessagePack instead of Pickle to do serialization and deserialization.