{"kind": "product", "path": "vulns/pypi/local-deep-research", "name": "local-deep-research", "product": "local-deep-research", "ecosystem": "PyPI", "items": [{"id": "CVE-2026-43979", "noindex": false, "published": "2026-05-28T17:59:19.443Z", "modified": "2026-05-28T19:33:58.899Z", "cvss": 5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N", "severity": "medium", "epss": 0.00331, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2026-43979", "title": "Local Deep Research: HTML Injection via Unescaped User Input in PDF Export (`pdf_service.py:_markdown_to_html`)", "description": "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 — specifically title (sourced from research.title or research.query) and metadata key-value pairs — 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 S", "references": ["https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q", "https://github.com/LearningCircuit/local-deep-research/pull/3082", "https://github.com/LearningCircuit/local-deep-research/pull/3613"], "fixes": ["1.6.0"], "products": [{"name": "local-deep-research", "path": "vulns/pypi/local-deep-research", "ecosystem": "PyPI"}]}, {"id": "CVE-2026-46526", "noindex": false, "published": "2026-05-28T17:58:22.669Z", "modified": "2026-05-29T14:05:55.976Z", "cvss": 5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N", "severity": "medium", "epss": 0.00304, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2026-46526", "title": "Local Deep Research: SSRF bypass in `safe_get`", "description": "Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.10, the URL checking logic in local-deep-research has a logical flaw that could be bypassed by attackers, leading to SSRF attacks. The current project uses validate_url to validate the input URL. The main logic is to perform security checks on the host portion of the URL extracted by urlparse to prevent SSRF attacks. However, there are indeed differences in parsing between urlparse and the library that actually sends the request. For example, in safe_get, validate_url is first used to perform an SSRF check, and then requests.get is used to send ", "references": ["https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-g23j-2vwm-5c25", "https://github.com/LearningCircuit/local-deep-research/pull/3873", "https://github.com/LearningCircuit/local-deep-research/pull/3882"], "fixes": ["1.6.10"], "products": [{"name": "local-deep-research", "path": "vulns/pypi/local-deep-research", "ecosystem": "PyPI"}]}, {"id": "CVE-2025-67743", "noindex": false, "published": "2025-12-23T00:01:19.309Z", "modified": "2025-12-23T15:41:01.533Z", "cvss": 6.3, "cvss_vector": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N", "severity": "medium", "epss": 0.00318, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2025-67743", "title": "Local Deep Research is Vulnerable to Server-Side Request Forgery (SSRF) in Download Service", "description": "Local Deep Research is an AI-powered research assistant for deep, iterative research. In versions from 1.3.0 to before 1.3.9, the download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls. This issue has been patched in version 1.3.9.", "references": ["https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-9c54-gxh7-ppjc", "https://github.com/LearningCircuit/local-deep-research/commit/b79089ff30c5d9ae77e6b903c408e1c26ad5c055", "https://nvd.nist.gov/vuln/detail/CVE-2025-67743"], "fixes": ["1.3.9"], "products": [{"name": "local-deep-research", "path": "vulns/pypi/local-deep-research", "ecosystem": "PyPI"}]}], "total": 3, "unknown_count": 0, "release_unconfirmed": false, "page": 1, "pages": 1, "filtered": false, "noindex": false, "filters": {}, "page_size": 20, "products": [{"name": "local-deep-research", "path": "vulns/pypi/local-deep-research", "ecosystem": "PyPI"}], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}, {"name": "web", "path": "vulns/stack/web", "slug": "web"}, {"name": "php", "path": "vulns/stack/php", "slug": "php"}, {"name": "python", "path": "vulns/stack/python", "slug": "python"}, {"name": "node", "path": "vulns/stack/node", "slug": "node"}, {"name": "database", "path": "vulns/stack/database", "slug": "database"}, {"name": "containers", "path": "vulns/stack/containers", "slug": "containers"}, {"name": "network", "path": "vulns/stack/network", "slug": "network"}, {"name": "applications", "path": "vulns/stack/applications", "slug": "applications"}], "versions": [], "stats": {"recent": 0, "kev": 0}, "lastmod": "2026-05-29T14:05:55.976Z", "early_advisories": [], "license": "Puedes utilizar libremente la selección de PatchFirst y nuestras aportaciones (prioridades, alertas tempranas, textos, resúmenes y agregados) para tus propios fines, incluido el uso interno de tu empresa. 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Las noticias incluyen un enlace a la fuente original en cada entrada.", "sources": [{"id": "cve", "name": "CVE List / CVE.org", "url": "https://www.cve.org/", "license": "CVE Terms of Use", "terms_url": "https://www.cve.org/Legal/TermsOfUse", "notice": "Copyright © 1999–2021, The MITRE Corporation. LICENSE Submissions : For all materials you submit to the Common Vulnerabilities and Exposures (CVE™), you hereby grant to The MITRE Corporation (MITRE) and all CVE Numbering Authorities (CNAs) a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare derivative works of, publicly display, publicly perform, sublicense, and distribute such materials and derivative works. Unless required by applicable law or agreed to in writing, you provide such materials on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. CVE Usage : MITRE hereby grants you a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare derivative works of, publicly display, publicly perform, sublicense, and distribute Common Vulnerabilities and Exposures (CVE™). Any copy you make for such purposes is authorized provided that you reproduce MITRE's copyright designation and this license in any such copy. DISCLAIMERS ALL DOCUMENTS AND THE INFORMATION CONTAINED THEREIN PROVIDED BY MITRE ARE PROVIDED ON AN \"AS IS\" BASIS AND THE CONTRIBUTOR, THE ORGANIZATION HE/SHE REPRESENTS OR IS SPONSORED BY (IF ANY), THE MITRE CORPORATION, ITS BOARD OF TRUSTEES, OFFICERS, AGENTS, AND EMPLOYEES, DISCLAIM ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTY THAT THE USE OF THE INFORMATION THEREIN WILL NOT INFRINGE ANY RIGHTS OR ANY IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE."}, {"id": "osv", "name": "OSV", "url": "https://osv.dev/", "terms_url": "https://google.github.io/osv.dev/data/", "terms": "Las licencias de las bases originales varían; consulta el catálogo de fuentes."}, {"id": "kev", "name": "CISA KEV", "url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog", "license": "CC0-1.0", "terms_url": "https://github.com/cisagov/kev-data/blob/develop/LICENSE"}, {"id": "epss", "name": "FIRST EPSS", "url": "https://www.first.org/epss/", "terms_url": "https://www.first.org/epss/faq", "terms": "Puntuaciones públicas gratuitas; se solicita atribución (FIRST EPSS, puntuaciones generadas por Empirical Security)."}, {"id": "github-advisory", "name": "GitHub Advisory Database", "url": "https://github.com/advisories", "license": "CC-BY-4.0", "terms_url": "https://github.com/github/advisory-database/blob/main/LICENSE.md"}, {"id": "exploitdb", "name": "Exploit-DB", "url": "https://www.exploit-db.com/", "license": "GPL-2.0", "terms_url": "https://gitlab.com/exploit-database/exploitdb/-/blob/main/LICENSE.md"}, {"id": "metasploit", "name": "Metasploit", "url": "https://github.com/rapid7/metasploit-framework", "license": "BSD-3-Clause", "terms_url": "https://github.com/rapid7/metasploit-framework/blob/master/LICENSE", "notice": "Copyright (c) 2006-2026, Rapid7, Inc.\nLicense: BSD-3-clause\n Redistribution and use in source and binary forms, with or without modification,\n are permitted provided that the following conditions are met:\n .\n * Redistributions of source code must retain the above copyright notice,\n this list of conditions and the following disclaimer.\n .\n * Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n .\n * Neither the name of Rapid7, Inc. nor the names of its contributors\n may be used to endorse or promote products derived from this software\n without specific prior written permission.\n .\n THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND\n ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\n WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n DISCLAIMED. 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