CVE-2026-44513 (GCVE-0-2026-44513)
Vulnerability from cvelistv5 – Published: 2026-05-14 16:26 – Updated: 2026-08-28 12:04
VLAI
EPSS
VEX
Title
Diffusers: `trust_remote_code` bypass via `custom_pipeline` and local custom components
Summary
Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trust_remote_code bypass in DiffusionPipeline.from_pretrained allows arbitrary remote code execution despite the user passing trust_remote_code=False (or omitting it, which is the default). The vulnerability has three variants, all sharing the same root cause — the trust_remote_code gate was implemented inside DiffusionPipeline.download() rather than at the actual dynamic-module load site, so any code path that bypassed or short-circuited download() also bypassed the security check. DiffusionPipeline.from_pretrained('repoA', custom_pipeline='attacker/repoB', trust_remote_code=False) — the gate evaluated against repoA's file list rather than repoB's, so repoB's pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained('/local/snapshot', custom_pipeline='attacker/repoB', trust_remote_code=False) — the local-path branch never invoked download(), so the gate was never reached and remote code from repoB executed. DiffusionPipeline.from_pretrained('/local/snapshot', trust_remote_code=False) where the snapshot contains custom component files (e.g. unet/my_unet_model.py) referenced from model_index.json — same root cause; the local path skipped download() and custom component code executed. This vulnerability is fixed in 0.38.0.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-14 17:38 UTC
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/huggingface/diffusers/security… | x_refsource_CONFIRM |
| https://access.redhat.com/security/cve/CVE-2026-44513 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2477507 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:60520 | vendor-advisoryx_refsource_REDHAT |
Impacted products
8 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| huggingface | diffusers |
Affected:
< 0.38.0
|
guessed | |
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786611803 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786611435 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
||
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3
|
||
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-44513",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-14T17:38:51.150920Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-05-14T19:51:06.991Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
},
{
"affected": [
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-th06-cuda130-torch210-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1787077779",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-th06-rocm64-torch291-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1787076481",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-cuda128-torch29-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1786611803",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-rocm64-torch29-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1786611435",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaiis/vllm-cpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-cuda-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-rocm-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaiis/vllm-tpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaii/vllm-cpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaii/vllm-cuda-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-aws-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-azure-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-gcp-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-openvino-model-server-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "unaffected",
"packageName": "rhoai/odh-th06-cuda130-torch291-py312-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
}
],
"datePublic": "2026-05-14T16:26:03.907Z",
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in Diffusers, a library for pretrained diffusion models. A remote attacker could exploit a bypass in the `trust_remote_code` mechanism within the `DiffusionPipeline.from_pretrained` function. This vulnerability allows for arbitrary remote code execution, even when the user explicitly sets `trust_remote_code=False` or omits it. The issue stems from the security check being incorrectly placed, allowing malicious code to be loaded and executed by bypassing the intended security gate."
}
],
"metrics": [
{
"other": {
"content": {
"namespace": "https://access.redhat.com/security/updates/classification/",
"value": "Important"
},
"type": "Red Hat severity rating"
}
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-358",
"description": "Improperly Implemented Security Check for Standard",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-28T12:04:31.466Z",
"orgId": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"shortName": "redhat-SADP"
},
"references": [
{
"tags": [
"vdb-entry",
"x_refsource_REDHAT"
],
"url": "https://access.redhat.com/security/cve/CVE-2026-44513"
},
{
"name": "RHBZ#2477507",
"tags": [
"issue-tracking",
"x_refsource_REDHAT"
],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477507"
},
{
"tags": [
"x_sadp-csaf-vex"
],
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44513.json"
},
{
"tags": [
"vendor-advisory",
"x_refsource_REDHAT"
],
"url": "https://access.redhat.com/errata/RHSA-2026:60520"
}
],
"solutions": [
{
"lang": "en",
"value": "RHSA-2026:60520: Red Hat OpenShift AI 3.4"
}
],
"timeline": [
{
"lang": "en",
"time": "2026-05-14T17:02:10.040Z",
"value": "Reported to Red Hat."
},
{
"lang": "en",
"time": "2026-05-14T16:26:03.907Z",
"value": "Made public."
}
],
"title": "Diffusers: Diffusers: Arbitrary remote code execution via `trust_remote_code` bypass",
"workarounds": [
{
"lang": "en",
"value": "Use DiffusionPipeline.from_pretrained() only with model paths, custom pipelines,\nand local snapshots from fully trusted and audited sources. Avoid setting\ncustom_pipeline= to a Hub repository that differs from the primary model path\nunless its pipeline.py has been manually reviewed. When loading a local snapshot, check for unexpected *.py files at the snapshot root and under component subdirectories (unet/, scheduler/, etc.) before calling from_pretrained.\n\nThe only complete fix is upgrading to diffusers 0.38.0."
}
],
"x_adpType": "supplier",
"x_generator": {
"engine": "sadp-cli 1.0.0"
}
}
],
"cna": {
"affected": [
{
"product": "diffusers",
"vendor": "huggingface",
"versions": [
{
"status": "affected",
"version": "\u003c 0.38.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trust_remote_code bypass in DiffusionPipeline.from_pretrained allows arbitrary remote code execution despite the user passing trust_remote_code=False (or omitting it, which is the default). The vulnerability has three variants, all sharing the same root cause \u2014 the trust_remote_code gate was implemented inside DiffusionPipeline.download() rather than at the actual dynamic-module load site, so any code path that bypassed or short-circuited download() also bypassed the security check. DiffusionPipeline.from_pretrained(\u0027repoA\u0027, custom_pipeline=\u0027attacker/repoB\u0027, trust_remote_code=False) \u2014 the gate evaluated against repoA\u0027s file list rather than repoB\u0027s, so repoB\u0027s pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained(\u0027/local/snapshot\u0027, custom_pipeline=\u0027attacker/repoB\u0027, trust_remote_code=False) \u2014 the local-path branch never invoked download(), so the gate was never reached and remote code from repoB executed. DiffusionPipeline.from_pretrained(\u0027/local/snapshot\u0027, trust_remote_code=False) where the snapshot contains custom component files (e.g. unet/my_unet_model.py) referenced from model_index.json \u2014 same root cause; the local path skipped download() and custom component code executed. This vulnerability is fixed in 0.38.0."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-14T16:26:03.907Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v"
}
],
"source": {
"advisory": "GHSA-98h9-4798-4q5v",
"discovery": "UNKNOWN"
},
"title": "Diffusers: `trust_remote_code` bypass via `custom_pipeline` and local custom components"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-44513",
"datePublished": "2026-05-14T16:26:03.907Z",
"dateReserved": "2026-05-06T18:28:20.887Z",
"dateUpdated": "2026-08-28T12:04:31.466Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-44513",
"date": "2026-10-15",
"epss": "0.0089",
"percentile": "0.58576"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "diffusers",
"vendor": "huggingface",
"versions": [
{
"status": "affected",
"version": "\u003c 0.38.0"
}
]
}
],
"source": "security-advisories@github.com"
},
{
"affectedData": [
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-th06-cuda130-torch210-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1787077779",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-th06-rocm64-torch291-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1787076481",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-cuda128-torch29-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1786611803",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-rocm64-torch29-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1786611435",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaiis/vllm-cpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-cuda-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-rocm-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaiis/vllm-tpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaii/vllm-cpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaii/vllm-cuda-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-aws-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-azure-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-gcp-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-openvino-model-server-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "unaffected",
"packageName": "rhoai/odh-th06-cuda130-torch291-py312-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
}
],
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:huggingface:diffusers:*:*:*:*:*:python:*:*",
"matchCriteriaId": "D7F2A2AE-D122-46BA-BD64-67DCF4C22677",
"versionEndExcluding": "0.38.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trust_remote_code bypass in DiffusionPipeline.from_pretrained allows arbitrary remote code execution despite the user passing trust_remote_code=False (or omitting it, which is the default). The vulnerability has three variants, all sharing the same root cause \u2014 the trust_remote_code gate was implemented inside DiffusionPipeline.download() rather than at the actual dynamic-module load site, so any code path that bypassed or short-circuited download() also bypassed the security check. DiffusionPipeline.from_pretrained(\u0027repoA\u0027, custom_pipeline=\u0027attacker/repoB\u0027, trust_remote_code=False) \u2014 the gate evaluated against repoA\u0027s file list rather than repoB\u0027s, so repoB\u0027s pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained(\u0027/local/snapshot\u0027, custom_pipeline=\u0027attacker/repoB\u0027, trust_remote_code=False) \u2014 the local-path branch never invoked download(), so the gate was never reached and remote code from repoB executed. DiffusionPipeline.from_pretrained(\u0027/local/snapshot\u0027, trust_remote_code=False) where the snapshot contains custom component files (e.g. unet/my_unet_model.py) referenced from model_index.json \u2014 same root cause; the local path skipped download() and custom component code executed. This vulnerability is fixed in 0.38.0."
}
],
"id": "CVE-2026-44513",
"lastModified": "2026-08-28T16:18:07.723",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-44513",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-14T17:38:51.150920Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-05-14T17:16:22.903",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v"
},
{
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"url": "https://access.redhat.com/errata/RHSA-2026:60520"
},
{
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"url": "https://access.redhat.com/security/cve/CVE-2026-44513"
},
{
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477507"
},
{
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44513.json"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-94"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-358"
}
],
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Important",
"current_release_date": "2026-10-06T02:06:17+00:00",
"cve": "CVE-2026-44513",
"id": "CVE-2026-44513",
"initial_release_date": "2026-05-14T16:26:03.907000+00:00",
"product_status:fixed": "17",
"product_status:known_affected": "2",
"product_status:known_not_affected": "320",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Diffusers: Diffusers: Arbitrary remote code execution via `trust_remote_code` bypass",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44513.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"affected": [
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-th06-cuda130-torch210-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1787077779",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-th06-rocm64-torch291-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1787076481",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-cuda128-torch29-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1786611803",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-rocm64-torch29-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1786611435",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaiis/vllm-cpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-cuda-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-rocm-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaiis/vllm-tpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaii/vllm-cpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaii/vllm-cuda-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-aws-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-azure-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-gcp-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-openvino-model-server-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "unaffected",
"packageName": "rhoai/odh-th06-cuda130-torch291-py312-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
}
],
"datePublic": "2026-05-14T16:26:03.907Z",
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in Diffusers, a library for pretrained diffusion models. A remote attacker could exploit a bypass in the `trust_remote_code` mechanism within the `DiffusionPipeline.from_pretrained` function. This vulnerability allows for arbitrary remote code execution, even when the user explicitly sets `trust_remote_code=False` or omits it. The issue stems from the security check being incorrectly placed, allowing malicious code to be loaded and executed by bypassing the intended security gate."
}
],
"metrics": [
{
"other": {
"content": {
"namespace": "https://access.redhat.com/security/updates/classification/",
"value": "Important"
},
"type": "Red Hat severity rating"
}
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-358",
"description": "Improperly Implemented Security Check for Standard",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-28T12:04:31.466Z",
"orgId": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"shortName": "redhat-SADP"
},
"references": [
{
"tags": [
"vdb-entry",
"x_refsource_REDHAT"
],
"url": "https://access.redhat.com/security/cve/CVE-2026-44513"
},
{
"name": "RHBZ#2477507",
"tags": [
"issue-tracking",
"x_refsource_REDHAT"
],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477507"
},
{
"tags": [
"x_sadp-csaf-vex"
],
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44513.json"
},
{
"tags": [
"vendor-advisory",
"x_refsource_REDHAT"
],
"url": "https://access.redhat.com/errata/RHSA-2026:60520"
}
],
"solutions": [
{
"lang": "en",
"value": "RHSA-2026:60520: Red Hat OpenShift AI 3.4"
}
],
"timeline": [
{
"lang": "en",
"time": "2026-05-14T17:02:10.040Z",
"value": "Reported to Red Hat."
},
{
"lang": "en",
"time": "2026-05-14T16:26:03.907Z",
"value": "Made public."
}
],
"title": "Diffusers: Diffusers: Arbitrary remote code execution via `trust_remote_code` bypass",
"workarounds": [
{
"lang": "en",
"value": "Use DiffusionPipeline.from_pretrained() only with model paths, custom pipelines,\nand local snapshots from fully trusted and audited sources. Avoid setting\ncustom_pipeline= to a Hub repository that differs from the primary model path\nunless its pipeline.py has been manually reviewed. When loading a local snapshot, check for unexpected *.py files at the snapshot root and under component subdirectories (unet/, scheduler/, etc.) before calling from_pretrained.\n\nThe only complete fix is upgrading to diffusers 0.38.0."
}
],
"x_adpType": "supplier",
"x_generator": {
"engine": "sadp-cli 1.0.0"
}
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-44513",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-14T17:38:51.150920Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-05-14T17:38:55.958Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "diffusers",
"vendor": "huggingface",
"versions": [
{
"status": "affected",
"version": "\u003c 0.38.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trust_remote_code bypass in DiffusionPipeline.from_pretrained allows arbitrary remote code execution despite the user passing trust_remote_code=False (or omitting it, which is the default). The vulnerability has three variants, all sharing the same root cause \u2014 the trust_remote_code gate was implemented inside DiffusionPipeline.download() rather than at the actual dynamic-module load site, so any code path that bypassed or short-circuited download() also bypassed the security check. DiffusionPipeline.from_pretrained(\u0027repoA\u0027, custom_pipeline=\u0027attacker/repoB\u0027, trust_remote_code=False) \u2014 the gate evaluated against repoA\u0027s file list rather than repoB\u0027s, so repoB\u0027s pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained(\u0027/local/snapshot\u0027, custom_pipeline=\u0027attacker/repoB\u0027, trust_remote_code=False) \u2014 the local-path branch never invoked download(), so the gate was never reached and remote code from repoB executed. DiffusionPipeline.from_pretrained(\u0027/local/snapshot\u0027, trust_remote_code=False) where the snapshot contains custom component files (e.g. unet/my_unet_model.py) referenced from model_index.json \u2014 same root cause; the local path skipped download() and custom component code executed. This vulnerability is fixed in 0.38.0."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-14T16:26:03.907Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v"
}
],
"source": {
"advisory": "GHSA-98h9-4798-4q5v",
"discovery": "UNKNOWN"
},
"title": "Diffusers: `trust_remote_code` bypass via `custom_pipeline` and local custom components"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-44513",
"datePublished": "2026-05-14T16:26:03.907Z",
"dateReserved": "2026-05-06T18:28:20.887Z",
"dateUpdated": "2026-08-28T12:04:31.466Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Loading…
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.