FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks

Graph Convolutional Neural Networks GCNs have gained widespread popularity in various fields like personal healthcare and financial systems, due to their remarkable performance. Despite the growing demand for cloud-based GCN services, privacy concerns over sensitive graph data remain significant...

AZL-72104 CVE-2025-22874 affecting package golang for versions less than 1.24.4-1

Calling Verify with a VerifyOptions.KeyUsages that contains ExtKeyUsageAny unintentionally disabledpolicy validation. This only affected certificate chains which contain policy graphs, which are rather uncommon...

DEBIAN-CVE-2025-22874

Calling Verify with a VerifyOptions.KeyUsages that contains ExtKeyUsageAny unintentionally disabledpolicy validation. This only affected certificate chains which contain policy graphs, which are rather uncommon...

AZL-78986 CVE-2025-22874 affecting package golang 1.26.7-1

Calling Verify with a VerifyOptions.KeyUsages that contains ExtKeyUsageAny unintentionally disabledpolicy validation. This only affected certificate chains which contain policy graphs, which are rather uncommon...

AZL-63872 CVE-2025-22874 affecting package msft-golang for versions less than 1.24.1-3

Calling Verify with a VerifyOptions.KeyUsages that contains ExtKeyUsageAny unintentionally disabledpolicy validation. This only affected certificate chains which contain policy graphs, which are rather uncommon...

UBUNTU-CVE-2025-22874

Calling Verify with a VerifyOptions.KeyUsages that contains ExtKeyUsageAny unintentionally disabledpolicy validation. This only affected certificate chains which contain policy graphs, which are rather uncommon...

[SECURITY] Fedora 42 Update: qt6-qtgraphs-6.9.1-1.fc42

The Qt Graphs module enables you to visualize data in 3D as bar, scatter, and surface graphs. It's especially useful for visualizing depth maps and large quantities of rapidly changing data, such as data received from multiple sensors. The look and feel of graphs can be customized by using themes...

SUSE CVE-2025-22874

Calling Verify with a VerifyOptions.KeyUsages that contains ExtKeyUsageAny unintentionally disabledpolicy validation. This only affected certificate chains which contain policy graphs, which are rather uncommon...

PROVSYN: Synthesizing Provenance Graphs for Data Augmentation in Intrusion Detection Systems

Provenance graph analysis plays a vital role in intrusion detection, particularly against Advanced Persistent Threats APTs, by exposing complex attack patterns. While recent systems combine graph neural networks GNNs with natural language processing NLP to capture structural and semantic features...

Attack Effect Model Based Malicious Behavior Detection

Traditional security detection methods face three key challenges: inadequate data collection that misses critical security events, resource-intensive monitoring systems, and poor detection algorithms with high false positive rates. We present FEAD Focus-Enhanced Attack Detection, a framework that...

ATAG: AI-Agent Application Threat Assessment with Attack Graphs

Evaluating the security of multi-agent systems MASs powered by large language models LLMs is challenging, primarily because of the systems' complex internal dynamics and the evolving nature of LLM vulnerabilities. Traditional attack graph AG methods often lack the specific capabilities to model...

Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection

Money laundering is a financial crime that poses a serious threat to financial integrity and social security. The growing number of transactions makes it necessary to use automatic tools that help law enforcement agencies detect such criminal activity. In this work, we present Amatriciana, a nove...

PackHero: a Scalable Graph-Based Approach for Efficient Packer Identification

Anti-analysis techniques, particularly packing, challenge malware analysts, making packer identification fundamental. Existing packer identifiers have significant limitations: signature-based methods lack flexibility and struggle against dynamic evasion, while Machine Learning approaches require...

Heterogeneous Graph Backdoor Attack

Heterogeneous Graph Neural Networks HGNNs excel in modeling complex, multi-typed relationships across diverse domains, yet their vulnerability to backdoor attacks remains unexplored. To address this gap, we conduct the first investigation into the susceptibility of HGNNs to existing graph backdoo...

CVE-2023-28482

An issue was discovered in Tigergraph Enterprise 3.7.0. A single TigerGraph instance can host multiple graphs that are accessed by multiple different users. The TigerGraph platform does not protect the confidentiality of any data uploaded to the remote server. In this scenario, any user that has...

CVE-2022-41444

Cross Site Scripting XSS vulnerability in Cacti 1.2.21 via crafted POST request to graphsnew.php...

Source Anonymity for Private Random Walk Decentralized Learning

This paper considers random walk-based decentralized learning, where at each iteration of the learning process, one user updates the model and sends it to a randomly chosen neighbor until a convergence criterion is met. Preserving data privacy is a central concern and open problem in decentralize...

CVE-2025-47480: Missing Authorization

Missing Authorization vulnerability in Iqonic Design Graphina graphina-elementor-charts-and-graphs allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Graphina: from n/a through = 3.0.4...

CVE-2025-47533: Cross-Site Request Forgery (CSRF)

Cross-Site Request Forgery CSRF vulnerability in Iqonic Design Graphina graphina-elementor-charts-and-graphs allows PHP Local File Inclusion.This issue affects Graphina: from n/a through = 3.0.4...

Dynamic Graph-Based Fingerprinting of In-Browser Cryptomining

The decentralized and unregulated nature of cryptocurrencies, combined with their monetary value, has made them a vehicle for various illicit activities. One such activity is cryptojacking, an attack that uses stolen computing resources to mine cryptocurrencies without consent for profit...