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Archivo de vulnerabilidades 6.861
Restablecer filtrosDjango vulnerable to ASGI header spoofing via underscore/hyphen conflation
pyLoad: Improper Neutralization of Special Elements used in an OS Command
Django: SGI requests with a missing or understated `Content-Length` header could bypass the `DATA_UPLOAD_MAX_MEMORY_SIZE` limit
Django has potential DoS via MultiPartParser through crafted multipart uploads
MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint
MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface
In parisneo/lollms version 2.1.0, the application's session management is vulnerable to improper access control due to the use of a weak secret key for signing JSON Web Tokens (JWT). This vulnerabilit
HuggingFace Transformers allows for arbitrary code execution in the `Trainer` class
PraisonAI Has Path Traversal in FileTools
PraisonAI Vulnerable to Arbitrary File Write / Path Traversal in Action Orchestrator
Kedro has Arbitrary Code Execution via Malicious Logging Configuration
Kedro: Path Traversal in versioned dataset loading via unsanitized version string
BentoML: SSTI via Unsandboxed Jinja2 in Dockerfile Generation
BentoML: Command Injection in cloud deployment setup script
vLLM: Unauthenticated OOM Denial of Service via Unbounded `n` Parameter in OpenAI API Server
vLLM: Denial of Service via Unbounded Frame Count in video/jpeg Base64 Processing
pyLoad: SSRF filter bypass via HTTP redirect in BaseDownloader (Incomplete fix for CVE-2026-33992)
Mesop: Unbounded Thread Creation in WebSocket Handler Leads to Denial of Service
Auth0OAuthenticator has an Authentication Bypass via Unverified Email Claims
JupyterHub is software that allows one to create a multi-user server for Jupyter notebooks. Prior to version 5.4.4, an open redirect vulnerability in JupyterHub allows attackers to construct links whi
pymetasploit3 vulnerable to command injection in console.run_module_with_output()
Tornado has cookie attribute injection via .RequestHandler.set_cookie
vLLM: Processing differential in multi-channel audio downmixing enables hidden-input/moderation bypass for audio models
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