PT-2025-36338

Name of the Vulnerable Software and Affected Versions: Roo Code versions prior to 3.26.0 Description: Roo Code is an AI-powered autonomous coding agent. A weakness exists in the command parsing logic due to incorrect handling of Bash parameter expansion and indirect reference. If the agent was...

PT-2025-36340

Name of the Vulnerable Software and Affected Versions: Roo Code versions 3.25.23 and below Description: Roo Code, an AI-powered autonomous coding agent, is susceptible to a flaw where VS Code workspace configuration files .code-workspace lack the same protection as files within the .vscode folder...

CVE-2025-58372: Incorrect Permission Assignment for Critical Resource

Roo Code is an AI-powered autonomous coding agent that lives in users' editors. Versions 3.25.23 and below contain a vulnerability where certain VS Code workspace configuration files .code-workspace are not protected in the same way as the .vscode folder. If the agent was configured to auto-appro...

Security update for chromium, gn (important)

openSUSE Security Update: Security update for chromium, gn Announcement ID: openSUSE-SU-2025:0336-1 Rating: important References: 1249093 Cross-References: CVE-2025-9864 CVE-2025-9865 CVE-2025-9866 CVE-2025-9867 Affected Products: openSUSE Backports SLE-15-SP6 An update that fixes four...

CVE-2025-22422

In multiple locations, there is a possible way to mislead a user into approving an authentication prompt for one app when its result will be used in another due to a logic error in the code. This could lead to local escalation of privilege with no additional execution privileges needed. User...

CVE-2025-26420

In multiple functions of GrantPermissionsActivity.java , there is a possible way to trick the user into granting the incorrect permission due to permission overload. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for...

CVE-2025-58064

creationtimestamp| type| source ---|---|--- 2025-09-04 05:18:41+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3lxyfhf3tl42w 2026-10-02 08:48:30+00:00| seen| https://gist.github.com/MaximeL/098a081d25d064519eed08b1f77a80d6...

CVE-2025-58357

Summary: 5ire (desktop AI assistant) vulnerability in the chat page’s script gadgets leads to content injection via multiple vectors (malicious prompt injection pages, compromised MCP servers, exploited tool integrations). Affected version: 0.13.2. Impact: allows content injection; CVSS 3.1 base ...

CVE-2025-58357 5ire Chat Message XSS Vulnerability Enables Remote Code Execution

5ire is a cross-platform desktop artificial intelligence assistant and model context protocol client. Version 0.13.2 contains a vulnerability in the chat page's script gadgets that enables content injection attacks through multiple vectors: malicious prompt injection pages, compromised MCP server...

CVE-2025-58357 5ire Chat Message XSS Vulnerability Enables Remote Code Execution

5ire is a cross-platform desktop artificial intelligence assistant and model context protocol client. Version 0.13.2 contains a vulnerability in the chat page's script gadgets that enables content injection attacks through multiple vectors: malicious prompt injection pages, compromised MCP server...

CVE-2025-58357

5ire is a cross-platform desktop artificial intelligence assistant and model context protocol client. Version 0.13.2 contains a vulnerability in the chat page's script gadgets that enables content injection attacks through multiple vectors: malicious prompt injection pages, compromised MCP server...

CVE-2025-58357: Improper Neutralization of Input During Web Page Generation

5ire is a cross-platform desktop artificial intelligence assistant and model context protocol client. Version 0.13.2 contains a vulnerability in the chat page's script gadgets that enables content injection attacks through multiple vectors: malicious prompt injection pages, compromised MCP server...

Breaking to Build: a Threat Model of Prompt-Based Attacks for Securing LLMs

The proliferation of Large Language Models LLMs has introduced critical security challenges, where adversarial actors can manipulate input prompts to cause significant harm and circumvent safety alignments. These prompt-based attacks exploit vulnerabilities in a model's design, training, and...

CVE-2025-9959

Incomplete validation of dunder attributes allows an attacker to escape from the Local Python execution environment sandbox, enforced by smolagents. The attack requires a Prompt Injection in order to trick the agent to create malicious code...

CVE-2025-9959 Sandbox escape in smolagents Local Python execution environment via dunder attributes

Incomplete validation of dunder attributes allows an attacker to escape from the Local Python execution environment sandbox, enforced by smolagents. The attack requires a Prompt Injection in order to trick the agent to create malicious code...

CVE-2025-9959

CVE-2025-9959 concerns smolagents, a Python agents library. The root issue is incomplete validation of dunder attributes, enabling an attacker to escape the Local Python execution environment sandbox when a Prompt Injection is used to coax the agent into creating malicious code. Several connected...

CVE-2025-9959 Sandbox escape in smolagents Local Python execution environment via dunder attributes

Incomplete validation of dunder attributes allows an attacker to escape from the Local Python execution environment sandbox, enforced by smolagents. The attack requires a Prompt Injection in order to trick the agent to create malicious code...

CVE-2025-9959 Sandbox escape in smolagents Local Python execution environment via dunder attributes

Incomplete validation of dunder attributes allows an attacker to escape from the Local Python execution environment sandbox, enforced by smolagents. The attack requires a Prompt Injection in order to trick the agent to create malicious code...

CVE-2025-9959

Incomplete validation of dunder attributes allows an attacker to escape from the Local Python execution environment sandbox, enforced by smolagents. The attack requires a Prompt Injection in order to trick the agent to create malicious code...

Indirect Prompt Injection Attacks Against LLM Assistants

Really good research on practical attacks against LLM agents. "Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous" Abstract: The growing integration of LLMs into applications has introduced new security risks, notably known as...