2427 matches found
CVE-2025-30642
A link following vulnerability in Trend Micro Deep Security 20.0 agents could allow a local attacker to create a denial of service DoS situation on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploi...
CVE-2025-30641
A link following vulnerability in the anti-malware solution portion of Trend Micro Deep Security 20.0 agents could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in...
CVE-2025-30640
A link following vulnerability in Trend Micro Deep Security 20.0 agents could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability...
Deep CNN Face Matchers Inherently Support Revocable Biometric Templates
One common critique of biometric authentication is that if an individual's biometric is compromised, then the individual has no recourse. The concept of revocable biometrics was developed to address this concern. A biometric scheme is revocable if an individual can have their current enrollment i...
Adaptive Alert Prioritisation in Security Operations Centres Via Learning to Defer with Human Feedback
Alert prioritisation AP is crucial for security operations centres SOCs to manage the overwhelming volume of alerts and ensure timely detection and response to genuine threats, while minimising alert fatigue. Although predictive AI can process large alert volumes and identify known patterns, it...
Technical Evaluation of a Disruptive Approach in Homomorphic AI
We present a technical evaluation of a new, disruptive cryptographic approach to data security, known as HbHAI Hash-based Homomorphic Artificial Intelligence. HbHAI is based on a novel class of key-dependent hash functions that naturally preserve most similarity properties, most AI algorithms rel...
Deep Spatial Neural Net Models with Functional Predictors: Application in Large-Scale Crop Yield Prediction
Accurate prediction of crop yield is critical for supporting food security, agricultural planning, and economic decision-making. However, yield forecasting remains a significant challenge due to the complex and nonlinear relationships between weather variables and crop production, as well as...
Efficient Retail Video Annotation: a Robust Key Frame Generation Approach for Product and Customer Interaction Analysis
Accurate video annotation plays a vital role in modern retail applications, including customer behavior analysis, product interaction detection, and in-store activity recognition. However, conventional annotation methods heavily rely on time-consuming manual labeling by human annotators,...
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems
The growing deployment of deep learning models in real-world environments has intensified the need for efficient inference under strict latency and resource constraints. To meet these demands, dynamic deep learning systems DDLSs have emerged, offering input-adaptive computation to optimize runtim...
A Comprehensive Survey on Underwater Acoustic Target Positioning and Tracking: Progress, Challenges, and Perspectives
Underwater target tracking technology plays a pivotal role in marine resource exploration, environmental monitoring, and national defense security. Given that acoustic waves represent an effective medium for long-distance transmission in aquatic environments, underwater acoustic target tracking h...
Detecting Hard-Coded Credentials in Software Repositories Via LLMs
Software developers frequently hard-code credentials such as passwords, generic secrets, private keys, and generic tokens in software repositories, even though it is strictly advised against due to the severe threat to the security of the software. These credentials create attack surfaces...
Navigating the Deep: Signature Extraction on Deep Neural Networks
Neural network model extraction has emerged in recent years as an important security concern, as adversaries attempt to recover a network's parameters via black-box queries. A key step in this process is signature extraction, which aims to recover the absolute values of the network's weights laye...
CVE-2025-30640
A link following vulnerability in Trend Micro Deep Security 20.0 agents could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability...
CVE-2025-30641
A link following vulnerability in the anti-malware solution portion of Trend Micro Deep Security 20.0 agents could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in...
CVE-2025-30642
A link following vulnerability in Trend Micro Deep Security 20.0 agents could allow a local attacker to create a denial of service DoS situation on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploi...
CVE-2025-30642
A link following vulnerability in Trend Micro Deep Security 20.0 agents could allow a local attacker to create a denial of service DoS situation on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploi...
CVE-2025-30641
A link following vulnerability in the anti-malware solution portion of Trend Micro Deep Security 20.0 agents could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in...
CVE-2025-30642
A link following vulnerability in Trend Micro Deep Security 20.0 agents could allow a local attacker to create a denial of service DoS situation on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploi...
CVE-2025-30642
A link following vulnerability in Trend Micro Deep Security 20.0 agents could allow a local attacker to create a denial of service DoS situation on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploi...
CVE-2025-30642
CVE-2025-30642 concerns a local DoS in Trend Micro Deep Security Agent 20.0 caused by a link-following issue in the Damage Cleanup Engine. An attacker who can run code with low privileges on the target can trigger a denial of service by creating a junction that leads to file deletion, according t...