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    <title>Most recent entries from all</title>
    <link>https://cve.radiocsirt.org</link>
    <description>Contains only the most 10 recent entries.</description>
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    <lastBuildDate>Sat, 03 Oct 2026 02:46:05 +0000</lastBuildDate>
    <item>
      <title>bdu:2026-01224</title>
      <link>https://cve.radiocsirt.org/vuln/bdu:2026-01224</link>
      <description>bdu:2026-01224</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/bdu:2026-01224</guid>
    </item>
    <item>
      <title>BIT-pytorch-2026-24747 — PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files</title>
      <link>https://cve.radiocsirt.org/vuln/bit-pytorch-2026-24747</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Bitnami: pytorch&lt;/p&gt;
&lt;p&gt;PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Bitnami: pytorch&lt;/p&gt;
&lt;p&gt;PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/bit-pytorch-2026-24747</guid>
    </item>
    <item>
      <title>EUVD-2026-337463</title>
      <link>https://cve.radiocsirt.org/vuln/euvd-2026-337463</link>
      <description>EUVD-2026-337463</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/euvd-2026-337463</guid>
    </item>
    <item>
      <title>fkie_cve-2026-24747</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2026-24747</link>
      <description>&lt;p&gt;PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/fkie_cve-2026-24747</guid>
    </item>
    <item>
      <title>GHSA-63cw-57p8-fm3p — PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-63cw-57p8-fm3p</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: pytorch&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;A vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution.&lt;/p&gt;
&lt;p&gt;### Vulnerability Details&lt;/p&gt;
&lt;p&gt;The `weights_only=True` unpickler failed to properly validate pickle opcodes and storage metadata, allowing:&lt;/p&gt;
&lt;p&gt;1. **Heap memory corruption** via `SETITEM`/`SETITEMS` opcodes applied to non-dictionary types
2. **Storage size mismatch** between declared element count and actual data in the archive&lt;/p&gt;
&lt;p&gt;### Impact&lt;/p&gt;
&lt;p&gt;An attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim&amp;#39;s process.&lt;/p&gt;
&lt;p&gt;# Credit
Ji&amp;#39;an Zhou&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: pytorch&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;A vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution.&lt;/p&gt;
&lt;p&gt;### Vulnerability Details&lt;/p&gt;
&lt;p&gt;The `weights_only=True` unpickler failed to properly validate pickle opcodes and storage metadata, allowing:&lt;/p&gt;
&lt;p&gt;1. **Heap memory corruption** via `SETITEM`/`SETITEMS` opcodes applied to non-dictionary types
2. **Storage size mismatch** between declared element count and actual data in the archive&lt;/p&gt;
&lt;p&gt;### Impact&lt;/p&gt;
&lt;p&gt;An attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim&amp;#39;s process.&lt;/p&gt;
&lt;p&gt;# Credit
Ji&amp;#39;an Zhou&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ghsa-63cw-57p8-fm3p</guid>
    </item>
    <item>
      <title>PYSEC-2026-1856 — PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files</title>
      <link>https://cve.radiocsirt.org/vuln/pysec-2026-1856</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: pytorch&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;A vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution.&lt;/p&gt;
&lt;p&gt;### Vulnerability Details&lt;/p&gt;
&lt;p&gt;The `weights_only=True` unpickler failed to properly validate pickle opcodes and storage metadata, allowing:&lt;/p&gt;
&lt;p&gt;1. **Heap memory corruption** via `SETITEM`/`SETITEMS` opcodes applied to non-dictionary types
2. **Storage size mismatch** between declared element count and actual data in the archive&lt;/p&gt;
&lt;p&gt;### Impact&lt;/p&gt;
&lt;p&gt;An attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim&amp;#39;s process.&lt;/p&gt;
&lt;p&gt;# Credit
Ji&amp;#39;an Zhou&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: pytorch&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;A vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution.&lt;/p&gt;
&lt;p&gt;### Vulnerability Details&lt;/p&gt;
&lt;p&gt;The `weights_only=True` unpickler failed to properly validate pickle opcodes and storage metadata, allowing:&lt;/p&gt;
&lt;p&gt;1. **Heap memory corruption** via `SETITEM`/`SETITEMS` opcodes applied to non-dictionary types
2. **Storage size mismatch** between declared element count and actual data in the archive&lt;/p&gt;
&lt;p&gt;### Impact&lt;/p&gt;
&lt;p&gt;An attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim&amp;#39;s process.&lt;/p&gt;
&lt;p&gt;# Credit
Ji&amp;#39;an Zhou&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/pysec-2026-1856</guid>
    </item>
    <item>
      <title>RHSA-2026:24977 — Red Hat Security Advisory: RHOAI 2.25.7 - Red Hat OpenShift AI</title>
      <link>https://cve.radiocsirt.org/vuln/rhsa-2026:24977</link>
      <description>&lt;p&gt;bouncycastle: BC-JAVA: GOSTCTR implementation unable to process more than 255 blocks correctly vllm: HTTP header size limit not enforced allows Denial of Service from Unauthenticated requests golang: net/url: Memory exhaustion in query parameter parsing in net/url axios: Axios: Server-Side Request Forgery and proxy bypass due to improper hostname normalization aiohttp: aiohttp: Denial of Service via specially crafted POST request aiohttp: aiohttp: Denial of Service via memory exhaustion from crafted POST request keras: Keras: Arbitrary Code Execution Vulnerability Bypassing Safe Mode lodash: lodash: Arbitrary code execution via untrusted input in template imports fast-uri: fast-uri: Path traversal vulnerability allows bypass of security policies pyasn1: pyasn1: Denial of Service due to memory exhaustion from malformed RELATIVE-OID pytorch: PyTorch: Arbitrary code execution via malicious checkpoint file loading xgrammar: xgrammar: Denial of Service via multi-level nested syntax vLLM: vLLM: Server-Side Request Forgery bypass via inconsistent URL parsing onnx: ONNX: Information Disclosure via Path Traversal Vulnerability vllm: vLLM: Remote code execution due to hardcoded trust_remote_code setting onnx: ONNX: Untrusted Model Repository Warnings Suppressed python-dotenv: python-dotenv: Arbitrary file overwrite via symbolic link following immutable-js: Immutable.js: Arbitrary code execution via Prototype Pollution svgo: SVGO: Denial of Service via XML entity expansion tornado-pyth…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;bouncycastle: BC-JAVA: GOSTCTR implementation unable to process more than 255 blocks correctly vllm: HTTP header size limit not enforced allows Denial of Service from Unauthenticated requests golang: net/url: Memory exhaustion in query parameter parsing in net/url axios: Axios: Server-Side Request Forgery and proxy bypass due to improper hostname normalization aiohttp: aiohttp: Denial of Service via specially crafted POST request aiohttp: aiohttp: Denial of Service via memory exhaustion from crafted POST request keras: Keras: Arbitrary Code Execution Vulnerability Bypassing Safe Mode lodash: lodash: Arbitrary code execution via untrusted input in template imports fast-uri: fast-uri: Path traversal vulnerability allows bypass of security policies pyasn1: pyasn1: Denial of Service due to memory exhaustion from malformed RELATIVE-OID pytorch: PyTorch: Arbitrary code execution via malicious checkpoint file loading xgrammar: xgrammar: Denial of Service via multi-level nested syntax vLLM: vLLM: Server-Side Request Forgery bypass via inconsistent URL parsing onnx: ONNX: Information Disclosure via Path Traversal Vulnerability vllm: vLLM: Remote code execution due to hardcoded trust_remote_code setting onnx: ONNX: Untrusted Model Repository Warnings Suppressed python-dotenv: python-dotenv: Arbitrary file overwrite via symbolic link following immutable-js: Immutable.js: Arbitrary code execution via Prototype Pollution svgo: SVGO: Denial of Service via XML entity expansion tornado-pyth…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/rhsa-2026:24977</guid>
    </item>
    <item>
      <title>UBUNTU-CVE-2026-24747</title>
      <link>https://cve.radiocsirt.org/vuln/ubuntu-cve-2026-24747</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Ubuntu:22.04:LTS: pytorch, Ubuntu:25.10: pytorch, Ubuntu:26.04:LTS: pytorch&lt;/p&gt;
&lt;p&gt;PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Ubuntu:22.04:LTS: pytorch, Ubuntu:25.10: pytorch, Ubuntu:26.04:LTS: pytorch&lt;/p&gt;
&lt;p&gt;PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ubuntu-cve-2026-24747</guid>
    </item>
    <item>
      <title>WID-SEC-W-2026-0222 — PyTorch: Schwachstelle ermöglicht Codeausführung</title>
      <link>https://cve.radiocsirt.org/vuln/wid-sec-w-2026-0222</link>
      <description>&lt;p&gt;Ein entfernter, anonymer Angreifer kann eine Schwachstelle in PyTorch ausnutzen, um beliebigen Programmcode auszuführen.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;Ein entfernter, anonymer Angreifer kann eine Schwachstelle in PyTorch ausnutzen, um beliebigen Programmcode auszuführen.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/wid-sec-w-2026-0222</guid>
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