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    <title>Most recent entries from all</title>
    <link>https://cve.radiocsirt.org</link>
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    <lastBuildDate>Fri, 02 Oct 2026 19:32:38 +0000</lastBuildDate>
    <item>
      <title>EUVD-2026-338086</title>
      <link>https://cve.radiocsirt.org/vuln/euvd-2026-338086</link>
      <description>EUVD-2026-338086</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/euvd-2026-338086</guid>
    </item>
    <item>
      <title>fkie_cve-2026-45804</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2026-45804</link>
      <description>&lt;p&gt;Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, Diffusers&amp;#39; DiffusionPipeline.from_pretrained flow can bypass the trust_remote_code guard because download() validates model_index.json and custom pipeline code before later loading from a cached folder that can change, allowing a Hub repository with custom .py pipeline code to execute through the custom pipeline flow without passing custom_pipeline or trust_remote_code=True. This issue is fixed in version 0.38.0.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, Diffusers&amp;#39; DiffusionPipeline.from_pretrained flow can bypass the trust_remote_code guard because download() validates model_index.json and custom pipeline code before later loading from a cached folder that can change, allowing a Hub repository with custom .py pipeline code to execute through the custom pipeline flow without passing custom_pipeline or trust_remote_code=True. This issue is fixed in version 0.38.0.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/fkie_cve-2026-45804</guid>
    </item>
    <item>
      <title>GHSA-7wx4-6vff-v64p — Diffusers: TOCTOU Trust Remote Code Bypass</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-7wx4-6vff-v64p</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: diffusers&lt;/p&gt;
&lt;p&gt;## Background&lt;/p&gt;
&lt;p&gt;This vulnerability is found in the `diffusers` package - the `transformers`-equivalent library for diffusion models.&lt;/p&gt;
&lt;p&gt;It is found in the `DiffusionPipeline.from_pretrained` flow, which is used to load a pipeline from the HuggingFace Hub.&lt;/p&gt;
&lt;p&gt;This function has a `trust_remote_code` guard: if the repository’s `model_index.json` references a custom pipeline class defined in a `.py` file in the repo, the load is blocked unless `trust_remote_code=True` is explicitly passed:&lt;/p&gt;
&lt;p&gt;```
ValueError: The repository for attacker/repo contains custom code in pipeline.py
which must be executed to correctly load the model. You can inspect the repository
content at https://hf.co/attacker/repo/blob/main/pipeline.py.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.
```&lt;/p&gt;
&lt;p&gt;The vulnerability allows arbitrary code execution through the custom pipeline flow from a Hub repo, with no `custom_pipeline` or `trust_remote_code` kwargs passed. The `from_pretrained` call succeeds and returns a functional pipeline.&lt;/p&gt;
&lt;p&gt;---&lt;/p&gt;
&lt;p&gt;## Naive Flow&lt;/p&gt;
&lt;p&gt;`DiffusionPipeline.from_pretrained` begins by popping all relevant arguments from `kwargs` into local variables, then calls `DiffusionPipeline.download()` to fetch the repo files:&lt;/p&gt;
&lt;p&gt;```python
# pipeline_utils.py:853
cached_folder = cls.download(
    pretrained_model_name_or_path,
    ...
    custom_pipeline=custom_pipeline,
    trust_remote_code=trust_remote_code,
    ...
)
```&lt;/p&gt;
&lt;p&gt;Inside `download()`, `model_index.json` is fetched first a…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: diffusers&lt;/p&gt;
&lt;p&gt;## Background&lt;/p&gt;
&lt;p&gt;This vulnerability is found in the `diffusers` package - the `transformers`-equivalent library for diffusion models.&lt;/p&gt;
&lt;p&gt;It is found in the `DiffusionPipeline.from_pretrained` flow, which is used to load a pipeline from the HuggingFace Hub.&lt;/p&gt;
&lt;p&gt;This function has a `trust_remote_code` guard: if the repository’s `model_index.json` references a custom pipeline class defined in a `.py` file in the repo, the load is blocked unless `trust_remote_code=True` is explicitly passed:&lt;/p&gt;
&lt;p&gt;```
ValueError: The repository for attacker/repo contains custom code in pipeline.py
which must be executed to correctly load the model. You can inspect the repository
content at https://hf.co/attacker/repo/blob/main/pipeline.py.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.
```&lt;/p&gt;
&lt;p&gt;The vulnerability allows arbitrary code execution through the custom pipeline flow from a Hub repo, with no `custom_pipeline` or `trust_remote_code` kwargs passed. The `from_pretrained` call succeeds and returns a functional pipeline.&lt;/p&gt;
&lt;p&gt;---&lt;/p&gt;
&lt;p&gt;## Naive Flow&lt;/p&gt;
&lt;p&gt;`DiffusionPipeline.from_pretrained` begins by popping all relevant arguments from `kwargs` into local variables, then calls `DiffusionPipeline.download()` to fetch the repo files:&lt;/p&gt;
&lt;p&gt;```python
# pipeline_utils.py:853
cached_folder = cls.download(
    pretrained_model_name_or_path,
    ...
    custom_pipeline=custom_pipeline,
    trust_remote_code=trust_remote_code,
    ...
)
```&lt;/p&gt;
&lt;p&gt;Inside `download()`, `model_index.json` is fetched first a…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ghsa-7wx4-6vff-v64p</guid>
    </item>
    <item>
      <title>PYSEC-2026-2446 — Diffusers: TOCTOU Trust Remote Code Bypass</title>
      <link>https://cve.radiocsirt.org/vuln/pysec-2026-2446</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: diffusers&lt;/p&gt;
&lt;p&gt;## Background&lt;/p&gt;
&lt;p&gt;This vulnerability is found in the `diffusers` package - the `transformers`-equivalent library for diffusion models.&lt;/p&gt;
&lt;p&gt;It is found in the `DiffusionPipeline.from_pretrained` flow, which is used to load a pipeline from the HuggingFace Hub.&lt;/p&gt;
&lt;p&gt;This function has a `trust_remote_code` guard: if the repository’s `model_index.json` references a custom pipeline class defined in a `.py` file in the repo, the load is blocked unless `trust_remote_code=True` is explicitly passed:&lt;/p&gt;
&lt;p&gt;```
ValueError: The repository for attacker/repo contains custom code in pipeline.py
which must be executed to correctly load the model. You can inspect the repository
content at https://hf.co/attacker/repo/blob/main/pipeline.py.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.
```&lt;/p&gt;
&lt;p&gt;The vulnerability allows arbitrary code execution through the custom pipeline flow from a Hub repo, with no `custom_pipeline` or `trust_remote_code` kwargs passed. The `from_pretrained` call succeeds and returns a functional pipeline.&lt;/p&gt;
&lt;p&gt;---&lt;/p&gt;
&lt;p&gt;## Naive Flow&lt;/p&gt;
&lt;p&gt;`DiffusionPipeline.from_pretrained` begins by popping all relevant arguments from `kwargs` into local variables, then calls `DiffusionPipeline.download()` to fetch the repo files:&lt;/p&gt;
&lt;p&gt;```python
# pipeline_utils.py:853
cached_folder = cls.download(
    pretrained_model_name_or_path,
    ...
    custom_pipeline=custom_pipeline,
    trust_remote_code=trust_remote_code,
    ...
)
```&lt;/p&gt;
&lt;p&gt;Inside `download()`, `model_index.json` is fetched first a…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: diffusers&lt;/p&gt;
&lt;p&gt;## Background&lt;/p&gt;
&lt;p&gt;This vulnerability is found in the `diffusers` package - the `transformers`-equivalent library for diffusion models.&lt;/p&gt;
&lt;p&gt;It is found in the `DiffusionPipeline.from_pretrained` flow, which is used to load a pipeline from the HuggingFace Hub.&lt;/p&gt;
&lt;p&gt;This function has a `trust_remote_code` guard: if the repository’s `model_index.json` references a custom pipeline class defined in a `.py` file in the repo, the load is blocked unless `trust_remote_code=True` is explicitly passed:&lt;/p&gt;
&lt;p&gt;```
ValueError: The repository for attacker/repo contains custom code in pipeline.py
which must be executed to correctly load the model. You can inspect the repository
content at https://hf.co/attacker/repo/blob/main/pipeline.py.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.
```&lt;/p&gt;
&lt;p&gt;The vulnerability allows arbitrary code execution through the custom pipeline flow from a Hub repo, with no `custom_pipeline` or `trust_remote_code` kwargs passed. The `from_pretrained` call succeeds and returns a functional pipeline.&lt;/p&gt;
&lt;p&gt;---&lt;/p&gt;
&lt;p&gt;## Naive Flow&lt;/p&gt;
&lt;p&gt;`DiffusionPipeline.from_pretrained` begins by popping all relevant arguments from `kwargs` into local variables, then calls `DiffusionPipeline.download()` to fetch the repo files:&lt;/p&gt;
&lt;p&gt;```python
# pipeline_utils.py:853
cached_folder = cls.download(
    pretrained_model_name_or_path,
    ...
    custom_pipeline=custom_pipeline,
    trust_remote_code=trust_remote_code,
    ...
)
```&lt;/p&gt;
&lt;p&gt;Inside `download()`, `model_index.json` is fetched first a…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/pysec-2026-2446</guid>
    </item>
    <item>
      <title>RHSA-2026:60520 — Red Hat Security Advisory: RHOAI 3.4.4 - Red Hat OpenShift AI</title>
      <link>https://cve.radiocsirt.org/vuln/rhsa-2026:60520</link>
      <description>&lt;p&gt;urllib3: urllib3 Streaming API improperly handles highly compressed data github.com/argoproj/argo-workflows: argoproj/argo-workflows is vulnerable to RCE via ZipSlip and symbolic links image-size: image-size: Denial of Service via crafted image buffer with zero-valued size field image-size: image-size: Denial of Service via crafted ICNS image buffer mlflow/mlflow: mlflow/mlflow: Unauthenticated remote code execution via unprotected job endpoints mlflow: mlflow: Arbitrary file read via bypassed source path validation python-transformers: python-transformers: Arbitrary code execution due to overridden trust_remote_code setting jupyter-server: jupyter-server: Sensitive data exposure via path traversal vulnerability fast-uri: fast-uri: URI authority bypass due to improper delimiter handling undici: undici: Information disclosure and data integrity issues due to incorrect Socks5ProxyAgent connection routing python-pip: Path traversal via malicious entry point name in pip wheel installation allows arbitrary file overwrite undici: undici: Man-in-the-Middle attack via ignored TLS options with SOCKS5 proxy form-data: form-data: Form field override via CRLF injection undici: undici: Denial of Service due to unbounded memory growth via WebSocket frames nltk: NLTK: Information disclosure via path traversal vulnerability keras: Keras: Arbitrary code execution via deserialization vulnerability brace-expansion: Brace-expansion: Denial of Service due to exponential-time complexity shell-quo…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;urllib3: urllib3 Streaming API improperly handles highly compressed data github.com/argoproj/argo-workflows: argoproj/argo-workflows is vulnerable to RCE via ZipSlip and symbolic links image-size: image-size: Denial of Service via crafted image buffer with zero-valued size field image-size: image-size: Denial of Service via crafted ICNS image buffer mlflow/mlflow: mlflow/mlflow: Unauthenticated remote code execution via unprotected job endpoints mlflow: mlflow: Arbitrary file read via bypassed source path validation python-transformers: python-transformers: Arbitrary code execution due to overridden trust_remote_code setting jupyter-server: jupyter-server: Sensitive data exposure via path traversal vulnerability fast-uri: fast-uri: URI authority bypass due to improper delimiter handling undici: undici: Information disclosure and data integrity issues due to incorrect Socks5ProxyAgent connection routing python-pip: Path traversal via malicious entry point name in pip wheel installation allows arbitrary file overwrite undici: undici: Man-in-the-Middle attack via ignored TLS options with SOCKS5 proxy form-data: form-data: Form field override via CRLF injection undici: undici: Denial of Service due to unbounded memory growth via WebSocket frames nltk: NLTK: Information disclosure via path traversal vulnerability keras: Keras: Arbitrary code execution via deserialization vulnerability brace-expansion: Brace-expansion: Denial of Service due to exponential-time complexity shell-quo…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/rhsa-2026:60520</guid>
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