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      <title>CVE-2026-44513 — Diffusers: `trust_remote_code` bypass via `custom_pipeline` and local custom components</title>
      <link>https://cve.radiocsirt.org/vuln/cve-2026-44513</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; huggingface diffusers, Red Hat OpenShift AI 3.4, Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI)&lt;/p&gt;
&lt;p&gt;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(&amp;#39;repoA&amp;#39;, custom_pipeline=&amp;#39;attacker/repoB&amp;#39;, trust_remote_code=False) — the gate evaluated against repoA&amp;#39;s file list rather than repoB&amp;#39;s, so repoB&amp;#39;s pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained(&amp;#39;/local/snapshot&amp;#39;, custom_pipeline=&amp;#39;attacker/repoB&amp;#39;, 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(&amp;#39;/local/snapshot&amp;#39;, 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.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; huggingface diffusers, Red Hat OpenShift AI 3.4, Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI)&lt;/p&gt;
&lt;p&gt;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(&amp;#39;repoA&amp;#39;, custom_pipeline=&amp;#39;attacker/repoB&amp;#39;, trust_remote_code=False) — the gate evaluated against repoA&amp;#39;s file list rather than repoB&amp;#39;s, so repoB&amp;#39;s pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained(&amp;#39;/local/snapshot&amp;#39;, custom_pipeline=&amp;#39;attacker/repoB&amp;#39;, 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(&amp;#39;/local/snapshot&amp;#39;, 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.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/cve-2026-44513</guid>
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