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Axolotl CVE-2026-86169

| EUVDEUVD-2026-71971 HIGH
Inclusion of Functionality from Untrusted Control Sphere (CWE-829)
2026-09-05 VulnCheck GHSA-57g9-xg4g-rmpp
8.7
CVSS 4.0 · Vendor: VulnCheck
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Severity by source

Vendor (VulnCheck) PRIMARY
8.7 HIGH
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
vuln.today AI
8.8 HIGH

Attacker needs no victim-system privileges; user must select the malicious model (UI:R); full code execution yields C:H/I:H/A:H with no scope change.

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

Primary rating from Vendor (VulnCheck).

CVSS VectorVendor: VulnCheck

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
P
Scope
X

Lifecycle Timeline

3
Source Code Evidence Fetched
Sep 05, 2026 - 11:31 vuln.today
Analysis Generated
Sep 05, 2026 - 11:31 vuln.today
CVE Published
Sep 05, 2026 - 11:01 cve.org
HIGH 8.7

DescriptionCVE.org

Axolotl through 0.18.0 contains a remote code execution vulnerability in the multipack patch path where trust_remote_code defaults to None instead of False, causing the security guard to be bypassed. Attackers can execute arbitrary Python code by crafting a malicious Hugging Face model repository selected as base_model, which is loaded with hardcoded trust_remote_code=True during AutoModelForCausalLM.from_pretrained.

AnalysisAI

Remote code execution in Axolotl through 0.18.0 allows an attacker who controls a Hugging Face model repository to execute arbitrary Python code on any machine running an Axolotl training job with multipack patches enabled. The root cause is a logic flaw in _apply_multipack_patches(): when a user has not explicitly set trust_remote_code in their YAML config (leaving it as Python None), the guard condition self.cfg.trust_remote_code is not None evaluates to False, skipping the override assignment and leaving has_remote_code=True from the model's own metadata claim. …

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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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Vulnerability AssessmentAI

Exploitation Two specific conditions must co-occur: (1) the Axolotl configuration must use the multipack / sample-packing code path (i.e., `sample_packing: true` or equivalent multipack-triggering settings), since the vulnerability is exclusively inside `_apply_multipack_patches()`; and (2) the user's YAML configuration must NOT explicitly set `trust_remote_code` - leaving it absent or `null` causes the Python value `None`, which breaks the security guard. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:N/UI:P) and score of 8.7 are well-calibrated. … 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 Upgrade to an Axolotl release that incorporates commit b62d60b101eea7f32532ee3c0b17c2f2430a9262 (merged via PR #3858 at https://github.com/axolotl-ai-cloud/axolotl/pull/3858). … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours, identify all systems running Axolotl through version 0.18.0 and audit multipack configuration status; immediately disable multipack patches or restrict model sources to internal/verified repositories as interim protection. …

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CVE-2026-86169 vulnerability details – vuln.today

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