2543 matches found
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...
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...
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-2025-30642
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-2025-30641
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...
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...
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-2025-30641
CVE-2025-30641 is a local privilege-escalation in Trend Micro Deep Security Deep Security Agent’s Anti-Malware component (20.0). The flaw arises from a link-following issue that can be exploited by a local attacker who already has low-privilege code execution to escalate privileges, potentially v...
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-2025-30640
CVE-2025-30640 is a confirmed local privilege escalation affecting Trend Micro Deep Security 20.0 agents, attributed to a link-following flaw in the Anti-Malware/Deep Security Platform. The root cause involves abusing symbolic links to escalate privileges, with an attacker needing to run low-priv...
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...
Trend Micro Deep Security 后置链接漏洞
Trend Micro Deep Security is a server deep security system client from Trend Micro. A security vulnerability exists in Trend Micro Deep Security version 20.0 that stems from a link-following issue that could lead to elevated privileges...
Trend Micro Deep Security 后置链接漏洞
Trend Micro Deep Security is a server deep security protection system client from Trend Micro. A security vulnerability exists in Trend Micro Deep Security version 20.0 that stems from a link following issue in the anti-malware component that could lead to elevated privileges...
Trend Micro Deep Security 后置链接漏洞
Trend Micro Deep Security is a server deep security system client from Trend Micro. A security vulnerability exists in Trend Micro Deep Security version 20.0 that stems from a link-following issue that could lead to a denial of service...
DAVSP: Safety Alignment for Large Vision-Language Models Via Deep Aligned Visual Safety Prompt
Large Vision-Language Models LVLMs have achieved impressive progress across various applications but remain vulnerable to malicious queries that exploit the visual modality. Existing alignment approaches typically fail to resist malicious queries while preserving utility on benign ones effectivel...