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MLflow EUVDEUVD-2026-85421

| CVE-2026-96804 HIGH
Deserialization of Untrusted Data (CWE-502)
2026-09-23 certcc GHSA-2qmw-5xhm-qq5w
8.8
CVSS 3.1 · Vendor: certcc
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Severity by source

Vendor (certcc) PRIMARY
8.8 HIGH
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
vuln.today AI
8.0 HIGH

Network-reachable via registry/artifact store with low-priv access (PR:L), but a victim/pipeline must load the crafted artifact so UI:R; successful deserialization gives full RCE (C:H/I:H/A:H).

3.1 AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H
4.0 AV:N/AC:L/AT:N/PR:L/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
Red Hat
8.8 HIGH
qualitative

Primary rating from Vendor (certcc).

CVSS VectorVendor: certcc

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

5
Patch available
Sep 23, 2026 - 18:17 EUVD
Metadata Corrected
Sep 23, 2026 - 17:40 vuln.today
tag: Python added
Analysis Generated
Sep 23, 2026 - 17:37 vuln.today
CVSS changed
Sep 23, 2026 - 17:22 NVD
8.8 (None) 8.8 (HIGH)
CVE Published
Sep 23, 2026 - 16:35 cve.org
HIGH 8.8

DescriptionCVE.org

MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control entirely in _load_model(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

AnalysisAI

Remote code execution in MLflow's statsmodel flavor (versions 2.1.0 through 3.14.0) occurs because _load_model() omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safeguard, allowing a crafted MLmodel artifact to trigger unsafe pickle deserialization (CWE-502). An authenticated low-privileged attacker (PR:L) who can register or supply a malicious artifact to the model registry or artifact store can achieve arbitrary code execution when a victim's pipeline or serving process loads it, although the victim must load the untrusted artifact (UI:R). …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
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Delivery
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Exploit
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Execution
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Impact
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Vulnerability AssessmentAI

Exploitation Exploitation requires that a target using MLflow's statsmodel model flavor (versions 2.1.0 through 3.14.0) load a crafted MLmodel artifact; because _load_model() omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False guard, even users relying on that safe-mode control are exposed. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 3.1 vector (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H, base 8.8 HIGH) describes a network-reachable, low-complexity deserialization flaw requiring only low privileges and yielding full confidentiality/integrity/availability compromise - consistent with CWE-502 pickle RCE. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario Full exploit scenario with step-by-step reproduction available after sign-in.
Remediation No vendor-released patch was identified at time of analysis; consult CERT/CC VU#369093 for updates. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours, inventory all MLflow deployments using the statsmodel flavor between versions 2.1.0 and 3.14.0, and enforce the environment variable MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False across all model loading and serving processes; restrict write access to the model registry and artifact stores to only trusted, authenticated users. …

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EUVD-2026-85421 vulnerability details – vuln.today

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