Schwachstellen verstehen. Anwendungen schützen.
Erfahren Sie, welche Schwachstellen Ihre Technologien betreffen und wie Sie diese beheben. Hier finden Sie verständliche Erklärungen, betroffene Versionen und konkrete Empfehlungen - von CMS und Plugins bis zu Anwendungsbibliotheken.
Schwachstellenarchiv 71.534
llama-index has Insecure Temporary File
BBOT's git_clone.py can expose users' GitHub API keys to an attacker-controlled webserver
Authlib is vulnerable to Denial of Service via Oversized JOSE Segments
Authlib : JWE zip=DEF decompression bomb enables DoS
Django vulnerable to partial directory traversal via archives
vLLM is vulnerable to timing attack at bearer auth
ZenML is vulnerable to Path Traversal through its `PathMaterializer` class
python-socketio vulnerable to arbitrary Python code execution (RCE) through malicious pickle deserialization in certain multi-server deployments
SPDK is vulnerable to buffer overflow in the NVMe-oF target component
mkdocs-include-markdown-plugin susceptible to unvalidated input colliding with substitution placeholders
DataChain Vulnerable to Deserialization of Untrusted Data from Environment Variables
Litestar X-Forwarded-For Header Spoofing Vulnerability Enables Rate Limit Evasion
clearml is vulnerable to Path Traversal through its `safe_extract` function
vLLM: Resource-Exhaustion (DoS) through Malicious Jinja Template in OpenAI-Compatible Server
vLLM is vulnerable to Server-Side Request Forgery (SSRF) through `MediaConnector` class
NiceGUI has a Reflected XSS
LLaMA Factory's Chat API Contains Critical SSRF and LFI Vulnerabilities
LangChain Text Splitters is vulnerable to XML External Entity (XXE) attacks due to unsafe XSLT parsing
JupyterLab LaTeX typesetter links did not enforce `noopener` attribute
Hugging Face Transformers library has Regular Expression Denial of Service
Hugging Face Transformers vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer
pip's fallback tar extraction doesn't check symbolic links point to extraction directory
ml-logger file handler allows reading arbitrary files
Erkennen Sie Schwachstellen in Ihrer Anwendung
Mit der DockRay-Integration und aktivierter Softwareinventarisierung prüft DockRay gemeldete Komponentenversionen auf bekannte Schwachstellen und benachrichtigt Sie über bestätigte Treffer. Die Abdeckung hängt von der unterstützten Technologie und den verfügbaren Meldungen ab.