What is the CVSS score of CVE-2026-3071?

CVE-2026-3071 has a CVSS 3.1 base score of 8.4 (High). CVSS vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.1%.

Which versions of AI / ML are affected by CVE-2026-3071?

A critical vulnerability in Flair's LanguageModel component (versions 0.4.1+) allows attackers to execute arbitrary code by uploading malicious model files.

How to fix or mitigate CVE-2026-3071?

Within 24 hours: Identify all systems running Flair versions 0.4.1 or later and disable model loading from untrusted sources; restrict access to model upload/import functions to authenticated administrators only. Within 7 days: Implement network segmentation to isolate Flair instances; conduct audit of model sources and recently loaded models for suspicious activity. Within 30 days: Monitor vendor security advisories for patch availability; evaluate alternative NLP libraries or containerized deployment with strict input validation; establish process for secure model procurement and validation.

AI / ML CVE-2026-3071

HIGH

Deserialization of Untrusted Data (CWE-502)

2026-02-26 6f8de1f0-f67e-45a6-b68f-98777fdb759c

Deserialization AI / ML

8.4

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

8.4 HIGH

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Local

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

Analysis Generated

Mar 12, 2026 - 21:55 vuln.today

CVE Published

Feb 26, 2026 - 15:17 nvd

HIGH 8.4

DescriptionCVE.org

Deserialization of untrusted data in the LanguageModel class of Flair from versions 0.4.1 to latest are vulnerable to arbitrary code execution when loading a malicious model.

AnalysisAI

Arbitrary code execution in Flair's LanguageModel class (versions 0.4.1 and later) allows local attackers to execute arbitrary commands by crafting malicious ML model files that exploit unsafe deserialization. Affected users loading untrusted models from external sources face complete system compromise with no patch currently available. This vulnerability impacts all AI/ML applications using Flair's model loading functionality.

Technical ContextAI

Classified as CWE-502 (Deserialization of Untrusted Data). Deserialization of untrusted data in the LanguageModel class of Flair from versions 0.4.1 to latest are vulnerable to arbitrary code execution when loading a malicious model.

Affected ProductsAI

Deserialization of untrusted data in the LanguageModel class of Flair from versions 0.4.1 to latest are vulnerable to arbitrary code execution when lo