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    <link>https://vulnerability.circl.lu</link>
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    <lastBuildDate>Tue, 29 Sep 2026 19:09:53 +0000</lastBuildDate>
    <item>
      <title>fkie_cve-2026-47395</title>
      <link>https://vulnerability.circl.lu/vuln/fkie_cve-2026-47395</link>
      <description>&lt;p&gt;PraisonAI is a multi-agent teams system. Prior to version 4.6.40 of PraisonAI, corresponding to version 1.6.40 of praisonaiagents, PraisonAI&amp;#39;s direct-prompt CLI automatically expands `@url:` mentions in raw prompt text before agent execution begins. If a prompt contains `@url:&amp;lt;http-or-https-url&amp;gt;`, the CLI calls `MentionsParser.process(...)`. The `@url:` handler then performs a direct `urllib.request.urlopen()` request to the attacker-controlled URL and returns the response body. That response body is prepended to the final model prompt context. There is no loopback/private-address restriction, no metadata-service restriction, and no approval gate before the fetch. As a result, attacker-influenced prompt text can cause the operator&amp;#39;s machine to fetch localhost-only HTTP resources and inject the response into model context. PraisonAI version 4.6.40 and praisonaiagents version 1.6.40 contain a fix.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;PraisonAI is a multi-agent teams system. Prior to version 4.6.40 of PraisonAI, corresponding to version 1.6.40 of praisonaiagents, PraisonAI&amp;#39;s direct-prompt CLI automatically expands `@url:` mentions in raw prompt text before agent execution begins. If a prompt contains `@url:&amp;lt;http-or-https-url&amp;gt;`, the CLI calls `MentionsParser.process(...)`. The `@url:` handler then performs a direct `urllib.request.urlopen()` request to the attacker-controlled URL and returns the response body. That response body is prepended to the final model prompt context. There is no loopback/private-address restriction, no metadata-service restriction, and no approval gate before the fetch. As a result, attacker-influenced prompt text can cause the operator&amp;#39;s machine to fetch localhost-only HTTP resources and inject the response into model context. PraisonAI version 4.6.40 and praisonaiagents version 1.6.40 contain a fix.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://vulnerability.circl.lu/vuln/fkie_cve-2026-47395</guid>
    </item>
    <item>
      <title>GHSA-5cxw-77wg-jrf3 — PraisonAI CLI automatically resolves @url mentions in prompt text and can read loopback URLs into model context</title>
      <link>https://vulnerability.circl.lu/vuln/ghsa-5cxw-77wg-jrf3</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: praisonaiagents, PyPI: PraisonAI&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;PraisonAI&amp;#39;s direct-prompt CLI automatically expands `@url:` mentions in raw prompt text before agent execution begins.&lt;/p&gt;
&lt;p&gt;If a prompt contains `@url:&amp;lt;http-or-https-url&amp;gt;`, the CLI calls `MentionsParser.process(...)`. The `@url:` handler then performs a direct `urllib.request.urlopen()` request to the attacker-controlled URL and returns the response body. That response body is prepended to the final model prompt context.&lt;/p&gt;
&lt;p&gt;There is no loopback/private-address restriction, no metadata-service restriction, and no approval gate before the fetch.&lt;/p&gt;
&lt;p&gt;As a result, attacker-influenced prompt text can cause the operator&amp;#39;s machine to fetch localhost-only HTTP resources and inject the response into model context.&lt;/p&gt;
&lt;p&gt;Example:&lt;/p&gt;
&lt;p&gt;```text
@url:http://localhost.:8766/ summarize this
````&lt;/p&gt;
&lt;p&gt;This causes PraisonAI to make an HTTP request to the local machine and prepend the fetched response body to the prompt that the model receives.&lt;/p&gt;
&lt;p&gt;This is a narrow local SSRF / local content disclosure issue in automatic prompt preprocessing. It is not a remote server takeover.&lt;/p&gt;
&lt;p&gt;### Details&lt;/p&gt;
&lt;p&gt;The affected direct-prompt CLI path is in:&lt;/p&gt;
&lt;p&gt;```text
src/praisonai/praisonai/cli/main.py
```&lt;/p&gt;
&lt;p&gt;The CLI imports and instantiates `MentionsParser` on the direct prompt path:&lt;/p&gt;
&lt;p&gt;```python
from praisonaiagents.tools.mentions import MentionsParser&lt;/p&gt;
&lt;p&gt;parser = MentionsParser(workspace_path=os.getcwd())&lt;/p&gt;
&lt;p&gt;if parser.has_mentions(prompt):
    mention_context, prompt = parser.process(prompt)&lt;/p&gt;
&lt;p&gt;if mention_context:
    prompt = f&amp;#34;{menti…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: praisonaiagents, PyPI: PraisonAI&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;PraisonAI&amp;#39;s direct-prompt CLI automatically expands `@url:` mentions in raw prompt text before agent execution begins.&lt;/p&gt;
&lt;p&gt;If a prompt contains `@url:&amp;lt;http-or-https-url&amp;gt;`, the CLI calls `MentionsParser.process(...)`. The `@url:` handler then performs a direct `urllib.request.urlopen()` request to the attacker-controlled URL and returns the response body. That response body is prepended to the final model prompt context.&lt;/p&gt;
&lt;p&gt;There is no loopback/private-address restriction, no metadata-service restriction, and no approval gate before the fetch.&lt;/p&gt;
&lt;p&gt;As a result, attacker-influenced prompt text can cause the operator&amp;#39;s machine to fetch localhost-only HTTP resources and inject the response into model context.&lt;/p&gt;
&lt;p&gt;Example:&lt;/p&gt;
&lt;p&gt;```text
@url:http://localhost.:8766/ summarize this
````&lt;/p&gt;
&lt;p&gt;This causes PraisonAI to make an HTTP request to the local machine and prepend the fetched response body to the prompt that the model receives.&lt;/p&gt;
&lt;p&gt;This is a narrow local SSRF / local content disclosure issue in automatic prompt preprocessing. It is not a remote server takeover.&lt;/p&gt;
&lt;p&gt;### Details&lt;/p&gt;
&lt;p&gt;The affected direct-prompt CLI path is in:&lt;/p&gt;
&lt;p&gt;```text
src/praisonai/praisonai/cli/main.py
```&lt;/p&gt;
&lt;p&gt;The CLI imports and instantiates `MentionsParser` on the direct prompt path:&lt;/p&gt;
&lt;p&gt;```python
from praisonaiagents.tools.mentions import MentionsParser&lt;/p&gt;
&lt;p&gt;parser = MentionsParser(workspace_path=os.getcwd())&lt;/p&gt;
&lt;p&gt;if parser.has_mentions(prompt):
    mention_context, prompt = parser.process(prompt)&lt;/p&gt;
&lt;p&gt;if mention_context:
    prompt = f&amp;#34;{menti…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://vulnerability.circl.lu/vuln/ghsa-5cxw-77wg-jrf3</guid>
    </item>
    <item>
      <title>PYSEC-2026-2903 — PraisonAI CLI automatically resolves @url mentions in prompt text and can read loopback URLs into model context</title>
      <link>https://vulnerability.circl.lu/vuln/pysec-2026-2903</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: praisonai&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;PraisonAI&amp;#39;s direct-prompt CLI automatically expands `@url:` mentions in raw prompt text before agent execution begins.&lt;/p&gt;
&lt;p&gt;If a prompt contains `@url:&amp;lt;http-or-https-url&amp;gt;`, the CLI calls `MentionsParser.process(...)`. The `@url:` handler then performs a direct `urllib.request.urlopen()` request to the attacker-controlled URL and returns the response body. That response body is prepended to the final model prompt context.&lt;/p&gt;
&lt;p&gt;There is no loopback/private-address restriction, no metadata-service restriction, and no approval gate before the fetch.&lt;/p&gt;
&lt;p&gt;As a result, attacker-influenced prompt text can cause the operator&amp;#39;s machine to fetch localhost-only HTTP resources and inject the response into model context.&lt;/p&gt;
&lt;p&gt;Example:&lt;/p&gt;
&lt;p&gt;```text
@url:http://localhost.:8766/ summarize this
````&lt;/p&gt;
&lt;p&gt;This causes PraisonAI to make an HTTP request to the local machine and prepend the fetched response body to the prompt that the model receives.&lt;/p&gt;
&lt;p&gt;This is a narrow local SSRF / local content disclosure issue in automatic prompt preprocessing. It is not a remote server takeover.&lt;/p&gt;
&lt;p&gt;### Details&lt;/p&gt;
&lt;p&gt;The affected direct-prompt CLI path is in:&lt;/p&gt;
&lt;p&gt;```text
src/praisonai/praisonai/cli/main.py
```&lt;/p&gt;
&lt;p&gt;The CLI imports and instantiates `MentionsParser` on the direct prompt path:&lt;/p&gt;
&lt;p&gt;```python
from praisonaiagents.tools.mentions import MentionsParser&lt;/p&gt;
&lt;p&gt;parser = MentionsParser(workspace_path=os.getcwd())&lt;/p&gt;
&lt;p&gt;if parser.has_mentions(prompt):
    mention_context, prompt = parser.process(prompt)&lt;/p&gt;
&lt;p&gt;if mention_context:
    prompt = f&amp;#34;{menti…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: praisonai&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;PraisonAI&amp;#39;s direct-prompt CLI automatically expands `@url:` mentions in raw prompt text before agent execution begins.&lt;/p&gt;
&lt;p&gt;If a prompt contains `@url:&amp;lt;http-or-https-url&amp;gt;`, the CLI calls `MentionsParser.process(...)`. The `@url:` handler then performs a direct `urllib.request.urlopen()` request to the attacker-controlled URL and returns the response body. That response body is prepended to the final model prompt context.&lt;/p&gt;
&lt;p&gt;There is no loopback/private-address restriction, no metadata-service restriction, and no approval gate before the fetch.&lt;/p&gt;
&lt;p&gt;As a result, attacker-influenced prompt text can cause the operator&amp;#39;s machine to fetch localhost-only HTTP resources and inject the response into model context.&lt;/p&gt;
&lt;p&gt;Example:&lt;/p&gt;
&lt;p&gt;```text
@url:http://localhost.:8766/ summarize this
````&lt;/p&gt;
&lt;p&gt;This causes PraisonAI to make an HTTP request to the local machine and prepend the fetched response body to the prompt that the model receives.&lt;/p&gt;
&lt;p&gt;This is a narrow local SSRF / local content disclosure issue in automatic prompt preprocessing. It is not a remote server takeover.&lt;/p&gt;
&lt;p&gt;### Details&lt;/p&gt;
&lt;p&gt;The affected direct-prompt CLI path is in:&lt;/p&gt;
&lt;p&gt;```text
src/praisonai/praisonai/cli/main.py
```&lt;/p&gt;
&lt;p&gt;The CLI imports and instantiates `MentionsParser` on the direct prompt path:&lt;/p&gt;
&lt;p&gt;```python
from praisonaiagents.tools.mentions import MentionsParser&lt;/p&gt;
&lt;p&gt;parser = MentionsParser(workspace_path=os.getcwd())&lt;/p&gt;
&lt;p&gt;if parser.has_mentions(prompt):
    mention_context, prompt = parser.process(prompt)&lt;/p&gt;
&lt;p&gt;if mention_context:
    prompt = f&amp;#34;{menti…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://vulnerability.circl.lu/vuln/pysec-2026-2903</guid>
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