425 lines
20 KiB
JSON
425 lines
20 KiB
JSON
{
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"dataType": "CVE_RECORD",
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"dataVersion": "5.2",
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"cveMetadata": {
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"cveId": "CVE-2026-44513",
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"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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"state": "PUBLISHED",
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"assignerShortName": "GitHub_M",
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"dateReserved": "2026-05-06T18:28:20.887Z",
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"datePublished": "2026-05-14T16:26:03.907Z",
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"dateUpdated": "2026-08-28T12:04:31.466Z"
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},
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"containers": {
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"cna": {
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"title": "Diffusers: `trust_remote_code` bypass via `custom_pipeline` and local custom components",
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"problemTypes": [
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{
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"descriptions": [
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{
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"cweId": "CWE-94",
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"lang": "en",
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"description": "CWE-94: Improper Control of Generation of Code ('Code Injection')",
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"type": "CWE"
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}
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]
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}
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],
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"metrics": [
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{
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"cvssV3_1": {
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"attackComplexity": "LOW",
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"attackVector": "NETWORK",
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"availabilityImpact": "HIGH",
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"baseScore": 8.8,
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"baseSeverity": "HIGH",
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"confidentialityImpact": "HIGH",
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"integrityImpact": "HIGH",
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"privilegesRequired": "NONE",
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"scope": "UNCHANGED",
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"userInteraction": "REQUIRED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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"version": "3.1"
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}
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],
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"references": [
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{
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"name": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v",
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"tags": [
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"x_refsource_CONFIRM"
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],
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"url": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v"
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}
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],
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"affected": [
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{
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"vendor": "huggingface",
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"product": "diffusers",
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"versions": [
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{
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"version": "< 0.38.0",
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"status": "affected"
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}
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],
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},
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"descriptions": [
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{
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"lang": "en",
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"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 — 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."
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}
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],
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"source": {
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"advisory": "GHSA-98h9-4798-4q5v",
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"discovery": "UNKNOWN"
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}
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},
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"adp": [
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{
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"metrics": [
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{
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"other": {
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"type": "ssvc",
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"content": {
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"timestamp": "2026-05-14T17:38:51.150920Z",
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"id": "CVE-2026-44513",
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"options": [
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{
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"Exploitation": "none"
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},
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{
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"Automatable": "no"
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},
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{
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"Technical Impact": "total"
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}
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],
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"role": "CISA Coordinator",
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"version": "2.0.3"
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}
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}
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"title": "CISA ADP Vulnrichment",
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"dateUpdated": "2026-05-14T19:51:06.991Z"
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{
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"packageName": "rhoai/odh-th06-cuda130-torch210-py312-rhel9",
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"product": "Red Hat OpenShift AI 3.4",
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"vendor": "Red Hat",
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"versions": [
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{
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"status": "unaffected",
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"version": "1787077779",
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"vendor": "Red Hat",
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"value": "Reported to Red Hat."
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},
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{
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"value": "Made public."
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}
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],
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"title": "Diffusers: Diffusers: Arbitrary remote code execution via `trust_remote_code` bypass",
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"workarounds": [
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{
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"lang": "en",
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"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."
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}
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