{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-43979", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "state": "PUBLISHED", "assignerShortName": "GitHub_M", "dateReserved": "2026-05-04T20:24:31.916Z", "datePublished": "2026-05-28T17:59:19.443Z", "dateUpdated": "2026-05-28T19:33:58.899Z"}, "containers": {"cna": {"title": "Local Deep Research: HTML Injection via Unescaped User Input in PDF Export (`pdf_service.py:_markdown_to_html`)", "problemTypes": [{"descriptions": [{"cweId": "CWE-79", "lang": "en", "description": "CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')", "type": "CWE"}]}, {"descriptions": [{"cweId": "CWE-918", "lang": "en", "description": "CWE-918: Server-Side Request Forgery (SSRF)", "type": "CWE"}]}], "metrics": [{"cvssV3_1": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 5, "baseSeverity": "MEDIUM", "confidentialityImpact": "LOW", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N", "version": "3.1"}}], "references": [{"name": "https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q", "tags": ["x_refsource_CONFIRM"], "url": "https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q"}, {"name": "https://github.com/LearningCircuit/local-deep-research/pull/3082", "tags": ["x_refsource_MISC"], "url": "https://github.com/LearningCircuit/local-deep-research/pull/3082"}, {"name": "https://github.com/LearningCircuit/local-deep-research/pull/3613", "tags": ["x_refsource_MISC"], "url": "https://github.com/LearningCircuit/local-deep-research/pull/3613"}], "affected": [{"vendor": "LearningCircuit", "product": "local-deep-research", "versions": [{"version": "< 1.6.0", "status": "affected"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-05-28T17:59:19.443Z"}, "descriptions": [{"lang": "en", "value": "Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.0, PDFService._markdown_to_html() constructs an HTML document by interpolating user-controlled values \u2014 specifically title (sourced from research.title or research.query) and metadata key-value pairs \u2014 directly into an f-string without any HTML escaping. An authenticated attacker can craft a research query containing HTML special characters to inject arbitrary HTML tags into the document processed by WeasyPrint during PDF export. This injection can be chained to trigger a Server-Side Request Forgery (SSRF), bypassing the application's existing SSRF defenses in ssrf_validator.py. This vulnerability is fixed in 1.6.0."}], "source": {"advisory": "GHSA-fj2m-qvh9-jq4q", "discovery": "UNKNOWN"}}, "adp": [{"references": [{"url": "https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q", "tags": ["exploit"]}], "metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2026-05-28T19:33:32.262907Z", "id": "CVE-2026-43979", "options": [{"Exploitation": "poc"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "role": "CISA Coordinator", "version": "2.0.3"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-05-28T19:33:58.899Z"}}]}}

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