Robot Context Protocol (RCP): a Runtime-Agnostic Interface for Agent-Aware Robot Control

The Robot Context Protocol RCP is a lightweight, middleware-agnostic communication protocol designed to simplify the complexity of robotic systems and enable seamless interaction between robots, users, and autonomous agents. RCP provides a unified and semantically meaningful interface that...

QGuard:Question-Based Zero-Shot Guard for Multi-Modal LLM Safety

The recent advancements in Large Language ModelsLLMs have had a significant impact on a wide range of fields, from general domains to specialized areas. However, these advancements have also significantly increased the potential for malicious users to exploit harmful and jailbreak prompts for...

Exploring the Secondary Risks of Large Language Models

Ensuring the safety and alignment of Large Language Models is a significant challenge with their growing integration into critical applications and societal functions. While prior research has primarily focused on jailbreak attacks, less attention has been given to non-adversarial failures that...

NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models

Vision-Language Models VLMs such as CLIP have demonstrated remarkable capabilities in understanding relationships between visual and textual data through joint embedding spaces. Despite their effectiveness, these models remain vulnerable to adversarial attacks, particularly in the image modality,...

FAA Framework: a Large Language Model-Based Approach for Credit Card Fraud Investigations

The continuous growth of the e-commerce industry attracts fraudsters who exploit stolen credit card details. Companies often investigate suspicious transactions in order to retain customer trust and address gaps in their fraud detection systems. However, analysts are overwhelmed with an enormous...

Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT

Address Resolution Protocol ARP spoofing attacks severely threaten Internet of Things IoT networks by allowing attackers to intercept, modify, or block communications. Traditional detection methods are insufficient due to high false positives and poor adaptability. This research proposes a...

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation

Instance segmentation of ships in synthetic aperture radar SAR imagery is critical for applications such as maritime monitoring, environmental analysis, and national security. SAR ship images present challenges including scale variation, object density, and fuzzy target boundary, which are often...

Secure User-Friendly Blockchain Modular Wallet Design Using Android and OP-TEE

Emerging crypto economies still hemorrhage digital assets because legacy wallets leak private keys at almost every layer of the software stack, from user-space libraries to kernel memory dumps. This paper solves that twin crisis of security and interoperability by re-imagining key management as a...

Report Warns of Sophisticated DDoS Campaigns Crippling Global Banks

A new FS-ISAC and Akamai report warns that sophisticated DDoS attacks are severely impacting the global financial sector, leading to multi-day outages. Learn about these evolving threats and how institutions can strengthen defences...

The Trip to ZigBee Backscatter across a Decade, a Systematic Review

The field of backscatter communication has undergone a profound transformation, evolving from a niche technology for radio-frequency identification RFID into a sophisticated paradigm poised to enable a truly battery-free Internet of Things IoT. This evolution is built upon a deepening understandi...

PhishDebate: an LLM-Based Multi-Agent Framework for Phishing Website Detection

Phishing websites continue to pose a significant cybersecurity threat, often leveraging deceptive structures, brand impersonation, and social engineering tactics to evade detection. While recent advances in large language models LLMs have enabled improved phishing detection through contextual...

Hackers Use Social Engineering to Target Expert on Russian Operations

Citizen Lab and Google uncovered a new, sophisticated cyberattack linked to Russian state actors that exploits App-Specific Passwords, bypassing Multi-Factor Authentication. Discover how to protect yourself from these evolving threats...

TOTOLINK A3002RU和TOTOLINK A3002R 安全漏洞

TOTOLINK A3002RU and TOTOLINK A3002R are both products of China Gion Electronics TOTOLINK.TOTOLINK A3002RU is a wireless router product.TOTOLINK A3002R is a wireless router product. A buffer overflow vulnerability exists in the TOTOLINK A3002RU and TOTOLINK A3002R, which originates from the...

CVE-2025-47293 PowSyBl Core XML Reader allows XXE and SSRF

PowSyBl Power System Blocks is a framework to build power system oriented software. Prior to version 6.7.2, in certain places, powsybl-core XML parsing is vulnerable to an XML external entity XXE attack and to a server-side request forgery SSRF attack. This allows an attacker to elevate their...

PowSyBl Core XML Reader allows XXE and SSRF

Impact What kind of vulnerability is it? Who is impacted? In certain places, powsybl-core XML parsing is vulnerable to an XXE attack and in on place also to an SSRF attack. This allows an attacker to elevate their privileges to read files that they do not have permissions to, including sensitive...

Security update for screen

This update for screen fixes the following issues: Security issues fixed: CVE-2025-46802: temporary chmod of a user's TTY to mode 0666 when attempting to attach to a multi-user session allows for TTY hijacking bsc1242269. Other issues fixed: Use TTY file descriptor passing after a suspend MSGCONT...

SUSE-SU-2025:02016-1 Security update for screen

This update for screen fixes the following issues: Security issues fixed: - CVE-2025-46802: temporary chmod of a user's TTY to mode 0666 when attempting to attach to a multi-user session allows for TTY hijacking bsc1242269. Other issues fixed: - Use TTY file descriptor passing after a suspend...

CVE-2025-5490

The Football Pool plugin for WordPress is vulnerable to Stored Cross-Site Scripting via admin settings in all versions up to, and including, 2.12.4 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with administrator-level permissions...

CVE-2025-5490 Football Pool <= 2.12.4 - Authenticated (Administrator+) Stored Cross-Site Scripting

The Football Pool plugin for WordPress is vulnerable to Stored Cross-Site Scripting via admin settings in all versions up to, and including, 2.12.4 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with administrator-level permissions...

CVE-2025-5490

CVE-2025-5490 : Football Pool for WordPress is vulnerable to stored XSS via admin settings in all versions up to 2.12.4. The issue arises from insufficient input sanitization and output escaping, exploitable by authenticated attackers with administrator-level permissions (and above) on multi-site...