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    <title>Most recent entries from all</title>
    <link>https://cve.radiocsirt.org</link>
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    <item>
      <title>EUVD-2026-385186</title>
      <link>https://cve.radiocsirt.org/vuln/euvd-2026-385186</link>
      <description>EUVD-2026-385186</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/euvd-2026-385186</guid>
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    <item>
      <title>fkie_cve-2026-48484</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2026-48484</link>
      <description>&lt;p&gt;pyLoad is a free and open-source download manager written in Python. Prior to 0.5.0b3.dev101, the API `rpc` function in `api_blueprint.py` handles `multipart/form-data` uploads by reading the whole content of the uploaded file into memory with `file.read()`. This occurs before the data is sent to the underlying function. Since there is no size limit set at this point, a large file upload can exhaust the server&amp;#39;s available memory which led to process termination. Version 0.5.0b3.dev101 contains a patch.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;pyLoad is a free and open-source download manager written in Python. Prior to 0.5.0b3.dev101, the API `rpc` function in `api_blueprint.py` handles `multipart/form-data` uploads by reading the whole content of the uploaded file into memory with `file.read()`. This occurs before the data is sent to the underlying function. Since there is no size limit set at this point, a large file upload can exhaust the server&amp;#39;s available memory which led to process termination. Version 0.5.0b3.dev101 contains a patch.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/fkie_cve-2026-48484</guid>
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    <item>
      <title>GHSA-vq8p-m3wm-gv5f — pyLoad: Lack of Input Size Validation Leads to Denial of Service (DoS) and Process Termination</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-vq8p-m3wm-gv5f</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: pyload-ng&lt;/p&gt;
&lt;p&gt;## Description:
The API `rpc` function in `api_blueprint.py` handles `multipart/form-data` uploads by reading the whole content of the uploaded file into memory with `file.read()`. This occurs before the data is sent to the underlying function. Since there is no size limit set at this point, a large file upload can exhaust the server&amp;#39;s available memory which led to process termination.&lt;/p&gt;
&lt;p&gt;## VulnerableCode &amp;amp; Path: 
https://github.com/pyload/pyload/blob/8e447958b8a66c5899775e725a8b90bce6643004/src/pyload/webui/app/blueprints/api_blueprint.py#L73&lt;/p&gt;
&lt;p&gt;## Steps to Reproduce:
1. Log in to pyLoad (or use an API key, here i used api to communicate).
2. Prepare a large file (e.g., 10GB) .
  ```bash
truncate -s 10G large_file.bin
  ```
3. Send a multipart request to an API function that accepts a file, such as `check_online_status_container`:
```bash
curl -X POST &amp;#34;http://localhost:8000/api/rpc&amp;#34; \
     -H &amp;#34;X-API-Key: YOUR_API_KEY&amp;#34; \
     -F &amp;#34;func=check_online_status_container&amp;#34; \
     -F &amp;#34;container=@large_file.bin&amp;#34;
```
4. Monitor the server&amp;#39;s memory usage. The process will attempt to allocate memory for the entire file and last the process will be killed by the kernel.
&amp;lt;img width=&amp;#34;1902&amp;#34; height=&amp;#34;610&amp;#34; alt=&amp;#34;dos-process-kill-poc&amp;#34; src=&amp;#34;https://github.com/user-attachments/assets/2b9bfd0f-5b9f-48dd-983f-f97dfcc358cc&amp;#34; /&amp;gt;&lt;/p&gt;
&lt;p&gt;## Impact
- **Denial of Service (DoS)**: The pyLoad process will be killed by the Operating System&amp;#39;s Out-Of-Memory (OOM) killer, or the entire system may become unresponsive due…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: pyload-ng&lt;/p&gt;
&lt;p&gt;## Description:
The API `rpc` function in `api_blueprint.py` handles `multipart/form-data` uploads by reading the whole content of the uploaded file into memory with `file.read()`. This occurs before the data is sent to the underlying function. Since there is no size limit set at this point, a large file upload can exhaust the server&amp;#39;s available memory which led to process termination.&lt;/p&gt;
&lt;p&gt;## VulnerableCode &amp;amp; Path: 
https://github.com/pyload/pyload/blob/8e447958b8a66c5899775e725a8b90bce6643004/src/pyload/webui/app/blueprints/api_blueprint.py#L73&lt;/p&gt;
&lt;p&gt;## Steps to Reproduce:
1. Log in to pyLoad (or use an API key, here i used api to communicate).
2. Prepare a large file (e.g., 10GB) .
  ```bash
truncate -s 10G large_file.bin
  ```
3. Send a multipart request to an API function that accepts a file, such as `check_online_status_container`:
```bash
curl -X POST &amp;#34;http://localhost:8000/api/rpc&amp;#34; \
     -H &amp;#34;X-API-Key: YOUR_API_KEY&amp;#34; \
     -F &amp;#34;func=check_online_status_container&amp;#34; \
     -F &amp;#34;container=@large_file.bin&amp;#34;
```
4. Monitor the server&amp;#39;s memory usage. The process will attempt to allocate memory for the entire file and last the process will be killed by the kernel.
&amp;lt;img width=&amp;#34;1902&amp;#34; height=&amp;#34;610&amp;#34; alt=&amp;#34;dos-process-kill-poc&amp;#34; src=&amp;#34;https://github.com/user-attachments/assets/2b9bfd0f-5b9f-48dd-983f-f97dfcc358cc&amp;#34; /&amp;gt;&lt;/p&gt;
&lt;p&gt;## Impact
- **Denial of Service (DoS)**: The pyLoad process will be killed by the Operating System&amp;#39;s Out-Of-Memory (OOM) killer, or the entire system may become unresponsive due…&lt;/p&gt;</content:encoded>
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