698 matches found
EUVD-2022-33305
Malicious code in bioql PyPI...
EUVD-2022-3737
Malicious code in bioql PyPI...
EUVD-2022-29281
Malicious code in bioql PyPI...
EUVD-2024-19095
Malicious code in bioql PyPI...
EUVD-2025-30309
Malicious code in bioql PyPI...
EUVD-2022-36762
Malicious code in bioql PyPI...
EUVD-2022-41055
Malicious code in bioql PyPI...
EUVD-2022-15623
Malicious code in bioql PyPI...
EUVD-2025-12733
Malicious code in bioql PyPI...
EUVD-2024-32479
Malicious code in bioql PyPI...
EUVD-2025-18191
Malicious code in bioql PyPI...
EUVD-2025-29490
Malicious code in bioql PyPI...
Adaptive Deception Framework with Behavioral Analysis for Enhanced Cybersecurity Defense
This paper presents CADL Cognitive-Adaptive Deception Layer, an adaptive deception framework achieving 99.88% detection rate with 0.13% false positive rate on the CICIDS2017 dataset. The framework employs ensemble machine learning Random Forest, XGBoost, Neural Networks combined with behavioral...
Google Chrome 安全漏洞
Google Chrome on Android is a mobile browser from Google, optimized for Android devices, offering fast browsing, smart search, privacy protection and cross-device syncing. Google Chrome on Android suffers from an Omnibox mal-implementation vulnerability that can be exploited by attackers to cause...
CVE-2025-35030
CVE-2025-35030 affects Medical Informatics Engineering Enterprise Health. The issue is a cross-site request forgery (CSRF) that allows an unauthenticated attacker to trick an administrator into performing actions on behalf of that administrator. The vulnerability is fixed as of 2025-04-08. Docume...
PT-2025-39716
Name of the Vulnerable Software and Affected Versions cForms – Light speed fast Form Builder plugin for WordPress versions through 3.0.0 Description The software is susceptible to Cross-Site Request Forgery due to missing or incorrect nonce validation on the cforms api function. This allows...
Design and Development of an Intelligent LLM-Based LDAP Honeypot
Cybersecurity threats continue to increase, with a growing number of previously unknown attacks each year targeting both large corporations and smaller entities. This scenario demands the implementation of advanced security measures, not only to mitigate damage but also to anticipate emerging...
Bi-Level Game-Theoretic Planning of Cyber Deception for Cognitive Arbitrage
Cognitive vulnerabilities shape human decision-making and arise primarily from two sources: 1 cognitive capabilities, which include disparities in knowledge, education, expertise, or access to information, and 2 cognitive biases, such as rational inattention, confirmation bias, and base rate...
CVE-2025-32323
In getCallingAppName of Shared.java, there is a possible way to trick users into granting file access via deceptive text in a permission popup due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not...
PT-2025-36035
Name of the Vulnerable Software and Affected Versions: Shared.java affected versions not specified Description: The getCallingAppName function in Shared.java may allow an attacker to trick users into granting file access through deceptive text displayed in a permission popup. This is due to...