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Vulnerabilidades de @theia/ai-core

Vulnerabilidades publicadas para @theia/ai-core en los últimos 30 días: 0. Incluidas en el catálogo KEV: 0.

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Vulnerabilidades: 3

  1. CVE-2026-22551

    Media · CVSS 6.7EPSS 0,31%Corrección disponible

    CVE-2026-22551

    In Eclipse Theia versions prior to 1.71.0, the AI chat rendered Markdown image tags from AI responses, triggering HTTP requests to arbitrary external URLs without restriction. Combined with prompt injection in a malicious workspace, an attacker could induce the AI agent to construct image URLs encoding sensitive information from the workspace or conversation context, exfiltrating it to attacker-controlled servers. The workspace trust enforcement introduced in v1.71.0 mitigates the documented attack chain by disabling AI features in untrusted workspaces.

    • Actualiza a 1.71.0
    Publicación Actualización
  2. CVE-2026-46580

    Alta · CVSS 8.4EPSS 0,51%Corrección disponible

    CVE-2026-46580

    In Eclipse Theia versions prior to 1.71.0, files matching the pattern .prompts/*.prompttemplate in a workspace were automatically loaded and could override or extend the AI agent's system prompts. An attacker could craft a malicious repository containing prompt template files that, when the workspace was opened in Theia, replaced the AI's system instructions with attacker-controlled content (indirect prompt injection). Combined with other AI chat features available in untrusted workspaces, this enabled attack chains leading to data exfiltration via Markdown image rendering or arbitrary command execution via task definitions.

    • Actualiza a 1.71.0
    Publicación Actualización
  3. CVE-2026-44688

    Alta · CVSS 8.4EPSS 0,51%Corrección disponible

    CVE-2026-44688

    In Eclipse Theia versions prior to 1.71.0, the AI chat agent processed workspace file and directory names as part of its prompt context without distinguishing them from system instructions. An attacker could craft a malicious repository with adversarial directory or file names that, when analyzed by the AI agent, would cause the agent to follow attacker-controlled instructions (indirect prompt injection). Combined with other AI chat features available in untrusted workspaces, this enabled attack chains leading to data exfiltration via Markdown image rendering or arbitrary command execution via task definitions.

    • Actualiza a 1.71.0
    Publicación Actualización

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