CVE-2026-15829

A SQL injection CWE-89 and security boundary bypass CWE-863 vulnerability exists in the prebuilt BigQuery forecasting tool bigquery-forecast of googleapis/mcp-toolbox. The tool accepts client-controlled parameters datacol, timestampcol, and idcols as plain strings and interpolates them unescaped...

CVE-2026-15829

CVE-2026-15829 affects googleapis/mcp-toolbox (bigquery-forecast). The prebuilt forecasting tool interpolates client-controlled parameters (data_col, timestamp_col, id_cols) into a generated AI.FORECAST query via fmt.Sprintf without re-validation, enabling SQL injection (CWE-89) and a security bo...

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

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...

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...

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...

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...

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-2020-6828

Malware in sbrugna...

EUVD-2020-22731

Malware in sbrugna...

EUVD-2018-14579

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...