CVSS 3.1
Вероятност да бъде експлоатирана в следващите 30 дни (EPSS)
Атакува се
Време до експлоатация
Атакува се по мрежата, без особени условия, с обикновен потребителски вход и без действие от потребителя.
- Експлоатация: има публичен пример за експлоатация
- Атаката не може да се автоматизира
Описание
Оригинално описание
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 SSRF defenses in ssrf_validator.py. This vulnerability is fixed in 1.6.0.
Засегнати продукти
- LearningCircuit local-deep-research: < 1.6.0
Вид слабост
История
- 28 май 2026 Публикувано
Други уязвимости в LearningCircuit local-deep-research
Първоизточници
- https://www.cve.org/CVERecord?id=CVE-2026-43979
- https://nvd.nist.gov/vuln/detail/CVE-2026-43979
- 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