Vulnerability database
Every flaw the U.S. government’s cybersecurity agency (CISA) has confirmed attackers are using, plus the new WordPress plugin and theme bugs published each day, sorted by what they mean for a small business. We refresh it twice a day. If you see something your website or office runs, tell us.
4 results
May 28, 2026Local Deep Research is an AI-powered research assistant for deep, iterative research.CVE-2026-46526 · Other software · LearningCircuit · reported by GitHubMedium 5
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 the actual request. This vulnerability is fixed in 1.6.10.
- Product
- local-deep-research
- What to do
- Apply the vendor’s update. The NVD record links to the advisory.
May 28, 2026Local Deep Research is an AI-powered research assistant for deep, iterative research.CVE-2026-43979 · Other software · LearningCircuit · reported by GitHubMedium 5
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.
- Product
- local-deep-research
- What to do
- Apply the vendor’s update. The NVD record links to the advisory.
Dec 22, 2025Local Deep Research is an AI-powered research assistant for deep, iterative research.CVE-2025-67743 · Other software · LearningCircuit · reported by GitHubMedium 6.3
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.
- Product
- local-deep-research
- What to do
- Apply the vendor’s update. The NVD record links to the advisory.
Sep 2, 2025Local Deep Research is an AI-powered research assistant for deep, iterative research.CVE-2025-57806 · Other software · LearningCircuit · reported by GitHubMedium 6.9
Local Deep Research is an AI-powered research assistant for deep, iterative research. Versions 0.2.0 through 0.6.7 stored confidential information, including API keys, in a local SQLite database without encryption. This behavior was not clearly documented outside of the database architecture page. Users were not given the ability to configure the database location, allowing anyone with access to the container or host filesystem to retrieve sensitive data in plaintext by accessing the .db file. This is fixed in version 1.0.0.
- Product
- local-deep-research
- What to do
- Apply the vendor’s update. The NVD record links to the advisory.
Where this comes from: the exploited list is CISA’s Known Exploited Vulnerabilities catalog. Everything else is the whole National Vulnerability Database, where each record is published by the team that found the bug (Wordfence, Patchstack, WPScan, the vendors themselves and others); we show who. Exploit odds are FIRST’s EPSS, updated daily. Titles and categories are ours, so check the linked record before acting on a detail. For a write-up of the big ones, see our advisories. Every vendor, and every WordPress plugin and theme with a recorded flaw, also has its own page. All of it is free to reuse as JSON, CSV or RSS.
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