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MEDIUM severity

CVE-2024-0960 — ai-flow

MEDIUM

CVE-2024-0960 is a medium-severity (CVSS 5) Deserialization of Untrusted Data vulnerability in ai-flow. The records list no fixed version yet; check the vendor advisory below and apply the mitigations in the meantime.

flink-extended ai-flow workflow_command.py cloudpickle.loads deserialization

Also known asGHSA-7mgg-3rq2-hff4PYSEC-2026-1079
Published
Updated
Affected
1 pkg
Patched
See advisory
Exploits
None indexed
Exploitation data as of Nov 8, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • 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 CVE-2024-0960.

EPSS Exploitation Probability

via FIRST.org ↗
0.7%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs54th percentile — riskier than 54% of all scored CVEsHighest risk
0.00%0.41%0.81%1.22%0.1%0.7%May 26Sep 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
🐍ai-flow

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 vulnerability was found in flink-extended ai-flow 0.3.1. It has been declared as critical. Affected by this vulnerability is the function cloudpickle.loads of the file \ai_flow\cli\commands\workflow_command.py. The manipulation leads to deserialization. The attack can be launched remotely. The complexity of an attack is rather high. The exploitation appears to be difficult. The exploit has been disclosed to the public and may be used. The identifier VDB-252205 was assigned to this vulnerability.

Affected Packages

1 total
EcosystemPackageVulnerable rangeFix
🐍PyPIai-flowall versionsNo fix

Affected Products

1 product · 1 configurations
Application
aiflowflink-extended
1 version
0.3.1

Detection & mitigation playbook

Open-source dependency

  1. Detect

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

  2. Remediation status

    The records we use list no patched version of ai-flow for CVE-2024-0960. Check the maintainer's advisory, and where your build allows, override or pin the dependency away from the vulnerable range.

  3. Mitigate without a patch

    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 vulnerability was found in flink-extended ai-flow 0.3.1. It has been declared as critical. Affected by this vulnerability is the function cloudpickle.loads of the file \ai_flow\cli\commands\workflow_command.py. The manipulation leads to deserialization. The attack can be launched remotely. The complexity of an attack is rather high. The exploitation appears to be difficult. The exploit has been disclosed to the public and may be used. The identifier VDB-252205 was assigned to this vulnerability.
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CVE-2024-0960: ai-flow (Medium 5)