56 matches found
CVE-2026-34259
Due to an OS Command Execution vulnerability in SAP Forecasting & Replenishment, an authenticated attacker with administrative authorizations could abuse a non-remote-enabled function to execute arbitrary operating system commands. Successful exploitation could allow the attacker to read or modif...
Can Big Data Predict Market Movements Accurately?
Can Big Data predict markets? Learn how AI, investor behavior, and digital signals shape modern forecasting across stocks and crypto trends...
EUVD-2026-29367
Due to an OS Command Execution vulnerability in SAP Forecasting & Replenishment, an authenticated attacker with administrative authorizations could abuse a non-remote-enabled function to execute arbitrary operating system commands. Successful exploitation could allow the attacker to read or modif...
CVE-2026-34259
Due to an OS Command Execution vulnerability in SAP Forecasting & Replenishment, an authenticated attacker with administrative authorizations could abuse a non-remote-enabled function to execute arbitrary operating system commands. Successful exploitation could allow the attacker to read or modif...
CVE-2026-34259 OS Command Injection Vulnerability in SAP Forecasting & Replenishment
Due to an OS Command Execution vulnerability in SAP Forecasting & Replenishment, an authenticated attacker with administrative authorizations could abuse a non-remote-enabled function to execute arbitrary operating system commands. Successful exploitation could allow the attacker to read or modif...
CVE-2026-34259 OS Command Injection Vulnerability in SAP Forecasting & Replenishment
Due to an OS Command Execution vulnerability in SAP Forecasting & Replenishment, an authenticated attacker with administrative authorizations could abuse a non-remote-enabled function to execute arbitrary operating system commands. Successful exploitation could allow the attacker to read or modif...
CVE-2026-34259
Due to an OS Command Execution vulnerability in SAP Forecasting & Replenishment, an authenticated attacker with administrative authorizations could abuse a non-remote-enabled function to execute arbitrary operating system commands. Successful exploitation could allow the attacker to read or modif...
CVE-2026-34259
SAP Forecasting & Replenishment contains an OS Command Execution vulnerability. An authenticated user with administrative privileges can abuse a non-remote-enabled function to execute arbitrary operating system commands, potentially reading/modifying any system data or shutting down the system, c...
SAP Forecasting and Replenishment 命令注入漏洞
SAP Forecasting and Replenishment is a demand forecasting and inventory replenishment management system developed by SAP, a German company, for retail and supply chain scenarios. SAP Forecasting and Replenishment has a command injection vulnerability. This vulnerability stems from OS command...
PT-2026-39920
Name of the Vulnerable Software and Affected Versions SAP Forecasting & Replenishment affected versions not specified Description An OS Command Execution issue exists where an authenticated attacker with administrative authorizations can abuse a non-remote-enabled function to execute arbitrary...
Modeling Sparse and Bursty Vulnerability Sightings: Forecasting under Data Constraints
Understanding and anticipating vulnerability-related activity is a major challenge in cyber threat intelligence. This work investigates whether vulnerability sightings, such as proof-of-concept releases, detection templates, or online discussions, can be forecast over time. Building on our earlie...
Predicting Tail-Risk Escalation in IDS Alert Time Series
Network defenders face a steady stream of attacks, observed as raw Intrusion Detection System IDS alerts. The sheer volume of alerts demands prioritization, typically based on high-level risk classifications. This work expands the scope of risk measurement by examining alerts not only through the...
Federated Anomaly Detection and Mitigation for EV Charging Forecasting under Cyberattacks
Electric Vehicle EV charging infrastructure faces escalating cybersecurity threats that can severely compromise operational efficiency and grid stability. Existing forecasting techniques are limited by the lack of combined robust anomaly mitigation solutions and data privacy preservation...
Towards Proactive Defense against Cyber Cognitive Attacks
Cyber cognitive attacks leverage disruptive innovations DIs to exploit psychological biases and manipulate decision-making processes. Emerging technologies, such as AI-driven disinformation and synthetic media, have accelerated the scale and sophistication of these threats. Prior studies primaril...
EUVD-2020-22731
Malware in sbrugna...
EUVD-2018-14579
Malware in sbrugna...
EUVD-2020-6828
Malware in sbrugna...
KillChainGraph: ML Framework for Predicting and Mapping ATT&CK Techniques
The escalating complexity and volume of cyberattacks demand proactive detection strategies that go beyond traditional rule-based systems. This paper presents a phase-aware, multi-model machine learning framework that emulates adversarial behavior across the seven phases of the Cyber Kill Chain...
Drone Detection with Event Cameras
The diffusion of drones presents significant security and safety challenges. Traditional surveillance systems, particularly conventional frame-based cameras, struggle to reliably detect these targets due to their small size, high agility, and the resulting motion blur and poor performance in...
Smart Buildings Energy Consumption Forecasting Using Adaptive Evolutionary Ensemble Learning Models
Smart buildings are gaining popularity because they can enhance energy efficiency, lower costs, improve security, and provide a more comfortable and convenient environment for building occupants. A considerable portion of the global energy supply is consumed in the building sector and plays a...