CVE-2026-19213

WonderTrader (up to 0.9.9) is affected by CVE-2026-19213 in the Pending Order Handler, specifically the _undone_qty function within src/WtCore/TraderAdapter.h. The vulnerability arises from manipulation of the getUndoneQty argument, enabling enforcement of a behavioral workflow. The issue is expl...

CVE-2026-19208 WonderTrader TraderDD.cpp queryTrades behavioral workflow

A vulnerability was detected in WonderTrader up to 0.9.9. Impacted is the function TraderDD::queryTrades of the file src/TraderDD/TraderDD.cpp. The manipulation of the argument FIDJYLB results in enforcement of behavioral workflow. The attack can be launched remotely. A high complexity level is...

CVE-2026-19208

WonderTrader up to version 0.9.9 is affected by a vulnerability in TraderDD::queryTrades (src/TraderDD/TraderDD.cpp). The issue stems from manipulation of the FID_JYLB argument, leading to enforcement of a behavioral workflow. The attack can be launched remotely and is described as high complexit...

EUVD-2026-54497

A vulnerability was detected in WonderTrader up to 0.9.9. Impacted is the function TraderDD::queryTrades of the file src/TraderDD/TraderDD.cpp. The manipulation of the argument FIDJYLB results in enforcement of behavioral workflow. The attack can be launched remotely. A high complexity level is...

Siemens SIMATIC S7-1500 CPU 1518 MFP Improper Enforcement of Behavioral Workflow (CVE-2024-50063)

This plugin only works with Tenable.ot. Please visit https://www.tenable.com/products/tenable-ot for more information. %NASLMINLEVEL 80900 C Tenable, Inc. include'compat.inc'; if description scriptid505705; scriptversion"1.3"; scriptsetattributeattribute:"pluginmodificationdate",...

Examining User Behavior and Cognitive Biases in Personal Password Security

Despite increasing awareness of cybersecurity risks, users continue to engage in insecure password practices, such as reusing passwords, choosing weak credentials, and neglecting security recommendations. The study explores the behavioral and cognitive factors that influence password...

EUVD-2025-210376

IBM watsonx.data intelligence 5.2.0, 5.2.1, 5.2.2, 5.3.0 could allow an authenticated user to perform unauthorized actions due to the improper enforcement of behavioral workflow...

CVE-2025-36333 Vulnerabilities found in Watson Data Intelligence

IBM watsonx.data intelligence 5.2.0, 5.2.1, 5.2.2, 5.3.0 could allow an authenticated user to perform unauthorized actions due to the improper enforcement of behavioral workflow...

PT-2026-53981

Name of the Vulnerable Software and Affected Versions IBM watsonx.data intelligence versions 5.2.0 through 5.3.0 Description An authenticated user can perform unauthorized actions because of improper enforcement of the behavioral workflow. Recommendations At the moment, there is no information...

Improper Enforcement of Behavioral Workflow

Overview filament/filament is an A collection of full-stack components for accelerated Laravel app development. Affected versions of this package are vulnerable to Improper Enforcement of Behavioral Workflow through the improper handling of recovery codes in app-based multi-factor authentication...

The Human Vulnerabilities and Exploits (HVE) Framework

The cybersecurity community has invested over two decades in building standardized frameworks, the Common Vulnerabilities and Exposures CVE system, the Common Vulnerability Scoring System CVSS, and the Common Weakness Enumeration CWE to identify, classify, and remediate threats to digital...

An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response

University Academic Management Information Systems ACMIS are high-value targets for a wide spectrum of security threats including brute-force login attacks, payment fraud, privilege escalation, insider data theft, and academic integrity violations. Traditional rule-based intrusion detection syste...

MalTree: Tracing Malware Evolution from Embeddings at Scale

Malware detection remains largely reactive: machine learning models trained on known samples degrade as threats evolve. Understanding evolutionary relationships among malware families can inform proactive defense, but traditional reverse engineering can take months to years to uncover such lineag...

Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection

We show that LoRA adapters, the dominant distribution format for fine-tuned LLMs, can be reliably backdoored through training data poisoning while preserving baseline task performance. On a Qwen 2.5 1.5B prompt-injection classifier, a small fraction of poisoned examples drives a...

Analyzing Concentration, Temporal Routines and Targeting in Public Ransomware Leak Site Data

Ransomware has grown to become one of the most damaging types of cybercrime, affecting private and public organizations in any sector. While early types of ransomware targeted many victims via automated attacks, ransomware groups have started to specifically target organizations and companies in...

Profiling User Vulnerability to Phishing through Psychological and Behavioral Factors

Phishing remains one of the most pervasive cybersecurity threats, shifting the focus from technological vulnerabilities to human cognitive and psychological factors. In coherence with the trend of studies on phishing to increasingly focus on human aspects and vulnerable users profiling, this stud...

Detecting Data Exfiltration through I2P Anonymity Networks: A Two-Phase Machine Learning Approach

The Invisible Internet Project I2P provides strong anonymity through garlic routing and distributed network architecture, making it attractive for legitimate privacy needs. Nevertheless, the same properties can be exploited by malicious actors to steal sensitive information from corporate network...

Behavioral Integrity Verification for AI Agent Skills

Agent skills extend LLM agents with privileged third-party capabilities such as filesystem access, credentials, network calls, and shell execution. Existing safety work catches malicious prompts and risky runtime actions, but the skill artifact itself goes unverified. We formalize this as the...

LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments

The rapid proliferation of LLM-based autonomous agents in real operating system environments introduces a new category of safety risk beyond content safety: behavior jailbreak, where an adversary induces an agent to execute dangerous OS-level operations with irreversible consequences. Existing...

Improper Enforcement of Behavioral Workflow

Overview YAFNET.Core is an Open Source Forum solution! The YAF.NET project is an international collaboration of like-minded, skilled, and creative individuals who are striving to make YAF.NET the most robust and malleable forum solutions available. Affected versions of this package are vulnerable...