GHSA-57G9-XG4G-RMPP
Vulnerability from github – Published: 2026-09-05 12:31 – Updated: 2026-09-12 00:31
VLAI
Details
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.
Severity
{
"affected": [],
"aliases": [
"CVE-2026-86169"
],
"database_specific": {
"cwe_ids": [
"CWE-829"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-05T11:16:45Z",
"severity": "HIGH"
},
"details": "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.",
"id": "GHSA-57g9-xg4g-rmpp",
"modified": "2026-09-12T00:31:28Z",
"published": "2026-09-05T12:31:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-86169"
},
{
"type": "WEB",
"url": "https://github.com/axolotl-ai-cloud/axolotl/pull/3858"
},
{
"type": "WEB",
"url": "https://github.com/axolotl-ai-cloud/axolotl/commit/b62d60b101eea7f32532ee3c0b17c2f2430a9262"
},
{
"type": "WEB",
"url": "https://github.com/axolotl-ai-cloud/axolotl"
},
{
"type": "WEB",
"url": "https://github.com/axolotl-ai-cloud/axolotl/blob/v0.18.0/src/axolotl/loaders/patch_manager.py#L794-L806"
},
{
"type": "WEB",
"url": "https://github.com/axolotl-ai-cloud/axolotl/blob/v0.18.0/src/axolotl/monkeypatch/multipack.py#L86-L96"
},
{
"type": "WEB",
"url": "https://github.com/axolotl-ai-cloud/axolotl/releases/tag/v0.19.0"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/axolotl-through-0.18.0-remote-code-execution-via-multipack-patching"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "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",
"type": "CVSS_V4"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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