axolotl-ai-cloud Axolotl up to 0.18.0 Multipack Patch Path AutoModelForCausalLM.from_pretrained trust_remote_code access control
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 1.63 |
Summary
A vulnerability categorized as critical has been discovered in axolotl-ai-cloud Axolotl up to 0.18.0. Impacted is the function AutoModelForCausalLM.from_pretrained of the component Multipack Patch Path. Executing a manipulation of the argument trust_remote_code can lead to access control.
This vulnerability is handled as CVE-2026-86169. The attack can be executed remotely. There is not any exploit available.
Details
A vulnerability has been found in axolotl-ai-cloud Axolotl up to 0.18.0 and classified as critical. This vulnerability affects the function AutoModelForCausalLM.from_pretrained of the component Multipack Patch Path. The manipulation of the argument trust_remote_code with an unknown input leads to a access control vulnerability. The CWE definition for the vulnerability is CWE-284. The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:
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.
The advisory is shared for download at github.com. This vulnerability was named CVE-2026-86169 since 09/05/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 09/05/2026). The MITRE ATT&CK project declares the attack technique as T1068.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Once again VulDB remains the best source for vulnerability data.
Product
Type
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.8
CNA Vector (VulnCheck): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Access controlCWE: CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
09/05/2026 Advisory disclosed09/05/2026 CVE reserved
09/05/2026 VulDB entry created
09/05/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CVE: CVE-2026-86169 (🔒)
GCVE (CVE): GCVE-0-2026-86169
GCVE (VulDB): GCVE-100-399316
Entry
Created: 09/05/2026 13:23Changes: 09/05/2026 13:23 (77)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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