MediumVulnerability

CVE-2026-112086: ESPnet deserialization flaw in build_model via _target_ argument

Source: NVD(opens in a new tab)
Identifier: CVE-2026-112086
Published: October 19, 2026
Record updated: October 19, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.

Summary

A vulnerability in ESPnet up to 202610.post2 affects the build_model function in espnet3/publication/inference_model.py, part of the Inference Model Handler component. Manipulating the _target_ argument leads to deserialization, and the attack can be launched remotely. A public exploit exists.

Mitigation

The patch is identified as f217b24f06de55e332cab10231469d5890dbbe00. It is best practice to apply a patch to resolve this issue.

Details

Scores and exploitation

CVSS score: 6.3(medium)
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L
Attack vector: network
Attack complexity: low
Privileges required: none
User interaction: required
EPSS: Not scored. FIRST had not published an EPSS score for this CVE when it was last checked on October 19, 2026.
Disclosure date: October 19, 2026

Weaknesses and techniques

Weakness (CWE): CWE-20
CWE-502
Attack pattern (CAPEC): CAPEC-586
AI threat technique (MITRE ATLAS): AML.T0010

Classification

Attack type: Supply chain
Attack sophistication: Trivial
AI component targeted: Inference
Impact: Integrity,
Confidentiality
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-112086

First tracked: October 19, 2026 at 08:08 AM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 85% (self-assessed)

Summary

Mitigation

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