38333 matches found
Apache InLong Deserialization Vulnerability (CNVD-2025-15707)
Apache InLong is the U.S. Apache Apache Foundation's one-stop massive data integration framework. Provides automated, secure and reliable data transfer capabilities. A deserialization vulnerability exists in Apache InLong versions prior to 1.13.0 to 2.1.0. The vulnerability stems from unsafe...
SAP Business One Integration Framework Access Control Error Vulnerability
SAP Business One Integration Framework is an integration solution for growing organizations. An access control error vulnerability exists in SAP Business One Integration Framework, which stems from insufficient security settings checking, and can be exploited by an attacker to cause a bypass 403...
[SECURITY] Fedora 42 Update: dotnet9.0-9.0.107-1.fc42
.NET is a fast, lightweight and modular platform for creating cross platform applications that work on Linux, macOS and Windows. It particularly focuses on creating console applications, web applications and micro-services. .NET contains a runtime conforming to .NET Standards a set of framework...
[SECURITY] Fedora 41 Update: dotnet9.0-9.0.107-1.fc41
.NET is a fast, lightweight and modular platform for creating cross platform applications that work on Linux, macOS and Windows. It particularly focuses on creating console applications, web applications and micro-services. .NET contains a runtime conforming to .NET Standards a set of framework...
Shrinking the Generation-Verification Gap with Weak Verifiers
Verifiers can improve language model capabilities by scoring and ranking responses from generated candidates. Currently, high-quality verifiers are either unscalable e.g., humans or limited in utility e.g., tools like Lean. While LM judges and reward models have become broadly useful as...
HE-LRM: Encrypted Deep Learning Recommendation Models Using Fully Homomorphic Encryption
Fully Homomorphic Encryption FHE is an encryption scheme that not only encrypts data but also allows for computations to be applied directly on the encrypted data. While computationally expensive, FHE can enable privacy-preserving neural inference in the client-server setting: a client encrypts...
TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs
Chip manufacturing is a complex process, and to achieve a faster time to market, an increasing number of untrusted third-party tools and designs from around the world are being utilized. The use of these untrusted third party intellectual properties IPs and tools increases the risk of adversaries...
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...
Bridging Unsupervised and Semi-Supervised Anomaly Detection: a Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Anomaly detection AD is a critical task across domains such as cybersecurity and healthcare. In the unsupervised setting, an effective and theoretically-grounded principle is to train classifiers to distinguish normal data from synthetic anomalies. We extend this principle to semi-supervised AD,...
Side-Channel Extraction of Dataflow AI Accelerator Hardware Parameters
Dataflow neural network accelerators efficiently process AI tasks on FPGAs, with deployment simplified by ready-to-use frameworks and pre-trained models. However, this convenience makes them vulnerable to malicious actors seeking to reverse engineer valuable Intellectual Property IP through...
From LLMs to MLLMs to Agents: a Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem
Large language models LLMs are rapidly evolving from single-modal systems to multimodal LLMs and intelligent agents, significantly expanding their capabilities while introducing increasingly severe security risks. This paper presents a systematic survey of the growing complexity of jailbreak...
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...
SoK: Stablecoin Designs, Risks, and the Stablecoin LEGO
Stablecoins have become significant assets in modern finance, with a market capitalization exceeding USD 246 billion May 2025. Yet, despite their systemic importance, a comprehensive and risk-oriented understanding of crucial aspects like their design trade-offs, security dynamics, and...
CVE-2025-5121
An issue has been discovered in GitLab CE/EE affecting all versions from 17.11 before 17.11.4 and 18.0 before 18.0.2. A missing authorization check may have allowed compliance frameworks to be applied to projects outside the compliance framework's group...
GHSA-93C7-7XQW-W357 Pingora has a Request Smuggling Vulnerability
A request smuggling vulnerability identified within Pingora’s proxying framework, pingora-proxy, allows malicious HTTP requests to be injected via manipulated request bodies on cache HITs, leading to unauthorized request execution and potential cache poisoning. Fixed in...
Pingora has a Request Smuggling Vulnerability
A request smuggling vulnerability identified within Pingora’s proxying framework, pingora-proxy, allows malicious HTTP requests to be injected via manipulated request bodies on cache HITs, leading to unauthorized request execution and potential cache poisoning. Fixed in...
CVE-2025-48059
PowSyBl Power System Blocks is a framework to build power system oriented software. In com.powsybl:powsybl-iidm-criteria versions 6.3.0 to before 6.7.2 and com.powsybl:powsybl-contingency-api versions 5.0.0 to before 6.3.0, there is a a potential polynomial Regular Expression Denial of Service...
CVE-2025-5121
CVE-2025-5121 affects GitLab CE/EE versions 17.11 prior to 17.11.4 and 18.0 prior to 18.0.2. The issue is a missing authorization check that could allow applying compliance frameworks to projects outside the intended group. Public documents confirm the vulnerability description across multiple fe...
CVE-2025-5121 Missing Authorization in GitLab
An issue has been discovered in GitLab CE/EE affecting all versions from 17.11 before 17.11.4 and 18.0 before 18.0.2. A missing authorization check may have allowed compliance frameworks to be applied to projects outside the compliance framework's group...
