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    4 vulnerabilities found for diffusers by huggingface

    CVE-2026-44827 (GCVE-0-2026-44827)

    Vulnerability from nvd – Published: 2026-05-14 16:33 – Updated: 2026-05-14 18:03
    VLAI
    Title
    Diffusers: None.py Trust Remote Code Bypass
    Summary
    Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trust_remote_code=True safeguard when loading pipelines from Hugging Face Hub repositories. The _resolve_custom_pipeline_and_cls function in pipeline_loading_utils.py performs string interpolation on the custom_pipeline parameter using f"{custom_pipeline}.py". When custom_pipeline is not supplied by the user, it defaults to None, which Python interpolates as the literal string "None.py". If an attacker publishes a Hub repository containing a file named None.py with a class that subclasses DiffusionPipeline, the file is automatically downloaded and executed during a standard DiffusionPipeline.from_pretrained() call with no additional keyword arguments. The trust_remote_code check in DiffusionPipeline.download() is bypassed because it evaluates custom_pipeline is not None as False (since the kwarg was never supplied), while the downstream code path that actually loads the module resolves the None value into a valid filename. An attacker can achieve silent arbitrary code execution by publishing a malicious model repository with a None.py file and a standard-looking model_index.json that references a legitimate pipeline class name, requiring only that a victim calls from_pretrained on the repository. This vulnerability is fixed in 0.38.0.
    SSVC
    Exploitation: poc Automatable: no Technical Impact: total
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-94 - Improper Control of Generation of Code ('Code Injection')
    Assigner
    References
    Impacted products
    Vendor Product Version
    huggingface diffusers Affected: < 0.38.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-44513 (GCVE-0-2026-44513)

    Vulnerability from nvd – Published: 2026-05-14 16:26 – Updated: 2026-06-30 12:10
    VLAI
    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.
    SSVC
    Exploitation: none Automatable: no Technical Impact: total
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-94 - Improper Control of Generation of Code ('Code Injection')
    • CWE-358 - Improperly Implemented Security Check for Standard
    Assigner
    Show details on NVD website

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    CVE-2026-44827 (GCVE-0-2026-44827)

    Vulnerability from cvelistv5 – Published: 2026-05-14 16:33 – Updated: 2026-05-14 18:03
    VLAI
    Title
    Diffusers: None.py Trust Remote Code Bypass
    Summary
    Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trust_remote_code=True safeguard when loading pipelines from Hugging Face Hub repositories. The _resolve_custom_pipeline_and_cls function in pipeline_loading_utils.py performs string interpolation on the custom_pipeline parameter using f"{custom_pipeline}.py". When custom_pipeline is not supplied by the user, it defaults to None, which Python interpolates as the literal string "None.py". If an attacker publishes a Hub repository containing a file named None.py with a class that subclasses DiffusionPipeline, the file is automatically downloaded and executed during a standard DiffusionPipeline.from_pretrained() call with no additional keyword arguments. The trust_remote_code check in DiffusionPipeline.download() is bypassed because it evaluates custom_pipeline is not None as False (since the kwarg was never supplied), while the downstream code path that actually loads the module resolves the None value into a valid filename. An attacker can achieve silent arbitrary code execution by publishing a malicious model repository with a None.py file and a standard-looking model_index.json that references a legitimate pipeline class name, requiring only that a victim calls from_pretrained on the repository. This vulnerability is fixed in 0.38.0.
    SSVC
    Exploitation: poc Automatable: no Technical Impact: total
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-94 - Improper Control of Generation of Code ('Code Injection')
    Assigner
    References
    Impacted products
    Vendor Product Version
    huggingface diffusers Affected: < 0.38.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-44513 (GCVE-0-2026-44513)

    Vulnerability from cvelistv5 – Published: 2026-05-14 16:26 – Updated: 2026-06-30 12:10
    VLAI
    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.
    SSVC
    Exploitation: none Automatable: no Technical Impact: total
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-94 - Improper Control of Generation of Code ('Code Injection')
    • CWE-358 - Improperly Implemented Security Check for Standard
    Assigner
    Show details on NVD website

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