45 matches found
MASAPT
MASAPT 🤖 ↔ 🤖 ↔ 🤖 ❗ Aviso Esta herramienta se desarrolla con fines académicos y de investigación como parte del curso universitario. El uso de MASAPT para atacar objetivos sin consentimiento previo es ilegal. Los desarrolladores no asumen ninguna responsabilidad por cualquier daño causado con esta...
CVE-Factory
CVE-Factory: Escalando Tareas Agénticas de Nivel Experto para Vulnerabilidades de Seguridad en Código CVE-Factory es un sistema Multi-Agente para la reproducción de CVEs totalmente automatizada y de extremo a extremo. Dados los registros CVE, el sistema investiga automáticamente los detalles,...
on-device-browser-agent
Local Browser - Automatización Web con IA en Dispositivo Pronto lanzaremos soporte para runanywhere-web-sdk en nuestro repositorio principal: échale un vistazo: https://github.com/RunanywhereAI/runanywhere-sdks Una extensión de Chrome que utiliza WebLLM para ejecutar automatización web con IA...
CVE-2026-57124
PraisonAI is a multi-agent teams system. Prior to 4.6.59, the default UI host applications expose POST /api/mcp/connect without mandatory authentication and accept caller-controlled command and args values that PraisonAIUI passes to StdioMCPClient to start a local process. Because the UI commands...
CVE-2026-57132
PraisonAI is an AI multi-agent framework. Prior to 4.6.62 , setting the PRAISONAI_CALL_AUTH=disabled environment variable causes the verify_token function (in agent_invoke.py) to return immediately, unconditionally bypassing all authentication on the /api/v1/agents/{id}/invoke endpoint. Because t...
CVE-2026-55541
PraisonAI is a multi-agent teams system. Prior to praisonai 4.6.58, praisonai serve agents and praisonai serve unified parse --api-key but createagentsapp and createunifiedapp do not install a credential check. Unauthenticated callers can reach POST /agents and POST /api/v1/agents/id/invoke. This...
CVE-2026-55539
PraisonAI, a multi-agent teams system, exposed its async Jobs API (/api/v1/runs) without authentication prior to version 4.6.51. The create_app function mounted the endpoint with no access control, allowing any reachable caller to submit jobs, read results, cancel runs, or delete jobs using opera...
CVE-2026-55539 PraisonAI: [Auth Bypass] PraisonAI async Jobs API (`/api/v1/runs`) has no authentication — unauthenticated job execution, result theft, cancel and delete
PraisonAI is a multi-agent teams system. Prior to praisonai 4.6.51, the Jobs API createapp function mounts /api/v1/runs without authentication. Any reachable caller can submit jobs, read results, cancel runs, or delete jobs using operator credentials. The fix adds PRAISONAIJOBSAPIKEY middleware f...
ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping
Threat modeling is essential for secure software development, yet manual analysis of cloud-native architectures is slow and demands scarce security expertise. We present ThreatForest, a multi-agent system that generates structured attack trees from source code repositories, maps attack steps to...
Semantic Multi-Agent Intrusion Detection for IoT:Zero-Day and Adversarial Threats with Risk-Aware Reasoning
The rapid proliferation of Internet of Things IoT devices has enabled unprecedented automation and connectivity, but it has also substantially increased the attack surface, exposing networks to sophisticated cyber threats, including zero-day and adversarial intrusions. Traditional Intrusion...
CVE-2026-40113
PraisonAI is a multi-agent teams system. Prior to 4.5.128, deploy.py constructs a single comma-delimited string for the gcloud run deploy --set-env-vars argument by directly interpolating openaimodel, openaikey, and openaibase without validating that these values do not contain commas. gcloud use...
SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation
Security misconfigurations remain a leading cause of OS-level compromise, and manually keeping systems compliant with standards like Defense Information Systems Agency DISA Security Technical Implementation Guides STIGs is a tedious and expensive process. Existing compliance automation tools can...
TIBlender: Early-Warning Threat Intelligence from Cross-Platform Social Media Evidence
Cyber threat signals are fragmented across multiple social media platforms, yet no existing approach has fully automated their integration into actionable threat intelligence TI reports. We present TIBlender, a multi-agent system that monitors four platforms X, Reddit, Telegram, and Discord and...
FORGE: Multi-Agent Graduated Exploitation and Detection Engineering
Vulnerability disclosure volumes now far exceed organizational assessment capacity, yet three adjacent research communities proof-of-concept generation, vulnerability prioritization, and detection rule engineering operate largely in isolation. Existing automated exploit generation systems report...
CVE-2026-44335
PraisonAI is a multi-agent teams system. Prior to version 1.6.32, the URL checking logic in PraisonAI has a logical flaw that could be bypassed by attackers, leading to SSRF attacks. This issue has been patched in version 1.6.32...
CVE-2026-40149
PraisonAI is a multi-agent teams system. Prior to 4.5.128, the gateway's /api/approval/allow-list endpoint permits unauthenticated modification of the tool approval allowlist when no authtoken is configured the default. By adding dangerous tool names e.g., shellexec, filewrite to the allowlist, a...
CVE-2026-40148
PraisonAI is a multi-agent teams system. Prior to 4.5.128, the safeextractall function in PraisonAI's recipe registry validates archive members against path traversal attacks but performs no checks on individual member sizes, cumulative extracted size, or member count before calling tar.extractal...
CVE-2026-40114
PraisonAI is a multi-agent teams system. Prior to 4.5.128, the /api/v1/runs endpoint accepts an arbitrary webhookurl in the request body with no URL validation. When a submitted job completes success or failure, the server makes an HTTP POST request to this URL using httpx.AsyncClient. An...
MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library
Network Intrusion Detection Systems NIDS face important limitations. Signature-based methods are effective for known attack patterns, but they struggle to detect zero-day attacks and often miss modified variants of previously known attacks, while many machine learning approaches offer limited...
PoC-Adapt: Semantic-Aware Automated Vulnerability Reproduction with LLM Multi-Agents and Reinforcement Learning-Driven Adaptive Policy
While recent approaches leverage large language models LLMs and multi-agent pipelines to automatically generate proof-of-concept PoC exploits from vulnerability reports, existing systems often suffer from two fundamental limitations: unreliable validation based on surface-level execution signals...