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  <title>Most recent entries from all</title>
  <updated>2026-10-02T19:32:41.799418+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
  </author>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-361088</id>
    <title>EUVD-2026-361088</title>
    <updated>2026-10-02T19:32:42.065047+00:00</updated>
    <content>EUVD-2026-361088</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-361088"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2026-44513</id>
    <title>fkie_cve-2026-44513</title>
    <updated>2026-10-02T19:32:42.065085+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>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.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2026-44513"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-98h9-4798-4q5v</id>
    <title>GHSA-98h9-4798-4q5v — Diffusers has a `trust_remote_code` bypass via `custom_pipeline` and local custom components</title>
    <updated>2026-10-02T19:32:42.065130+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: diffusers</p>
<p>### Impact</p>
<p>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:</p>
<p>1. **Cross-repo `custom_pipeline`.** `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.
2. **Local snapshot + Hub `custom_pipeline`.** `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.
3. **Local snapshot with custom components.** `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.</p>
<p>Silent remote code execution on the victim's machine. Anyone calling `DiffusionPipeline.from_pretraine…</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-98h9-4798-4q5v"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2026-40</id>
    <title>PYSEC-2026-40</title>
    <updated>2026-10-02T19:32:42.065181+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: diffusers</p>
<p>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.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2026-40"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/rhsa-2026:60520</id>
    <title>RHSA-2026:60520 — Red Hat Security Advisory: RHOAI 3.4.4 - Red Hat OpenShift AI</title>
    <updated>2026-10-02T19:32:42.065212+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>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…</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/rhsa-2026:60520"/>
  </entry>
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