{"resultsPerPage":1,"startIndex":0,"totalResults":1,"format":"NVD_CVE","version":"2.0","timestamp":"2026-05-08T11:27:09.055","vulnerabilities":[{"cve":{"id":"CVE-2026-30856","sourceIdentifier":"security-advisories@github.com","published":"2026-03-07T17:15:53.210","lastModified":"2026-04-13T14:43:36.147","vulnStatus":"Analyzed","cveTags":[],"descriptions":[{"lang":"en","value":"WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.3.0,  a vulnerability involving tool name collision and indirect prompt injection allows a malicious remote MCP server to hijack tool execution. By exploiting an ambiguous naming convention in the MCP client (mcp_{service}_{tool}), an attacker can register a malicious tool that overwrites a legitimate one (e.g., tavily_extract). This enables the attacker to redirect LLM execution flow, exfiltrate system prompts, context, and potentially execute other tools with the user's privileges. This issue has been patched in version 0.3.0."},{"lang":"es","value":"WeKnora es un framework impulsado por LLM diseñado para la comprensión profunda de documentos y la recuperación semántica. Antes de la versión 0.3.0, una vulnerabilidad que implica colisión de nombres de herramientas e inyección indirecta de prompts permite a un servidor MCP remoto malicioso secuestrar la ejecución de herramientas. Al explotar una convención de nombres ambigua en el cliente MCP (mcp_{service}_{tool}), un atacante puede registrar una herramienta maliciosa que sobrescribe una legítima (por ejemplo, tavily_extract). Esto permite al atacante redirigir el flujo de ejecución del LLM, exfiltrar prompts del sistema, contexto y potencialmente ejecutar otras herramientas con los privilegios del usuario. Este problema ha sido parcheado en la versión 0.3.0."}],"metrics":{"cvssMetricV31":[{"source":"security-advisories@github.com","type":"Secondary","cvssData":{"version":"3.1","vectorString":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:L/A:L","baseScore":5.9,"baseSeverity":"MEDIUM","attackVector":"NETWORK","attackComplexity":"HIGH","privilegesRequired":"LOW","userInteraction":"REQUIRED","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"LOW","availabilityImpact":"LOW"},"exploitabilityScore":1.2,"impactScore":4.7},{"source":"nvd@nist.gov","type":"Primary","cvssData":{"version":"3.1","vectorString":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:L","baseScore":7.6,"baseSeverity":"HIGH","attackVector":"NETWORK","attackComplexity":"LOW","privilegesRequired":"NONE","userInteraction":"REQUIRED","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"LOW","availabilityImpact":"LOW"},"exploitabilityScore":2.8,"impactScore":4.7}]},"weaknesses":[{"source":"security-advisories@github.com","type":"Primary","description":[{"lang":"en","value":"CWE-706"}]}],"configurations":[{"nodes":[{"operator":"OR","negate":false,"cpeMatch":[{"vulnerable":true,"criteria":"cpe:2.3:a:tencent:weknora:*:*:*:*:*:*:*:*","versionEndExcluding":"0.3.0","matchCriteriaId":"7F3180E7-F262-4100-96C2-4AB5730E75FF"}]}]}],"references":[{"url":"https://github.com/Tencent/WeKnora/security/advisories/GHSA-67q9-58vj-32qx","source":"security-advisories@github.com","tags":["Exploit","Vendor Advisory"]}]}}]}