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AstraLinux
AstraLinux
•added 2025/06/16 11:28 a.m.•9 views

Astra Linux – Vulnerability in Linux 6.12

In the Linux kernel, the following vulnerabilities have been resolved: ASoC: simple-card-utils: Fixed the pointer check in graphutilParseLinkDirectionation. Now, it checks whether the passed pointers are valid before writing to them. This also fixes a USBAN warning: UBSAN: Invalid-load in...

7.8CVSS6.4AI score0.00209EPSS
SaveExploits0References3
CNNVD
CNNVD
•added 2025/06/16 12:00 a.m.•21 views

Liferay Portal and Liferay DXP resource management vulnerabilities

Liferay Portal and Liferay DXP are both products of Liferay, Inc.Liferay Portal is a J2EE based portal solution. The solution uses technologies such as EJB as well as JMS and can be used as a Web publishing and sharing workspace, enterprise collaboration platform, social network, etc. Liferay DXP...

8.7CVSS6.4AI score0.00517EPSS
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Packet Storm News
Packet Storm News
•added 2025/06/13 12:00 a.m.•13 views

Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories

Indoor positioning systems IPSs are increasingly vital for location-based services in complex multi-storey environments. This study proposes a novel graph-based approach for floor separation using Wi-Fi fingerprint trajectories, addressing the challenge of vertical localization in indoor settings...

6.8AI score
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Positive Technologies
Positive Technologies
•added 2025/06/13 12:00 a.m.•29 views

PT-2025-33805

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: The Linux kernel contains an issue where the BPF JSET conditional jump is not correctly handled during control flow graph CFG computation. This can lead to incorrect live register and...

7.8CVSS6.8AI score0.00162EPSS
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Packet Storm News
Packet Storm News
•added 2025/06/12 12:00 a.m.•18 views

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...

6.5AI score
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Fedora
Fedora
•added 2025/06/11 2:46 a.m.•23 views

[SECURITY] Fedora 42 Update: qt6-qtdatavis3d-6.9.1-1.fc42

Qt Data Visualization module provides multiple graph types to visualize data in 3D space both with C++ and Qt Quick 2...

8.4CVSS7.3AI score0.00383EPSS
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Fedora
Fedora
•added 2025/06/11 2:46 a.m.•19 views

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

Qt Charts module provides a set of easy to use chart components. It uses the Qt Graphics View Framework, therefore charts can be easily integrated to modern user interfaces. Qt Charts can be used as QWidgets, QGra phicsWidget, or QML types. Users can easily create impressive graphs by selecting o...

8.4CVSS7.2AI score0.00383EPSS
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Packet Storm News
Packet Storm News
•added 2025/06/11 12:00 a.m.•15 views

AI-Based Software Vulnerability Detection: a Systematic Literature Review

Software vulnerabilities in source code pose serious cybersecurity risks, prompting a shift from traditional detection methods e.g., static analysis, rule-based matching to AI-driven approaches. This study presents a systematic review of software vulnerability detection SVD research from 2018 to...

7.2AI score
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Packet Storm News
Packet Storm News
•added 2025/06/11 12:00 a.m.•18 views

Devil'S Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols

Graph neural networks GNNs have achieved significant success in graph representation learning and have been applied to various domains. However, many real-world graphs contain sensitive personal information, such as user profiles in social networks, raising serious privacy concerns when graph...

6.5AI score
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Packet Storm News
Packet Storm News
•added 2025/06/10 12:00 a.m.•13 views

WGLE:Backdoor-Free and Multi-Bit Black-Box Watermarking for Graph Neural Networks

Graph Neural Networks GNNs are increasingly deployed in graph-related applications, making ownership verification critical to protect their intellectual property against model theft. Fingerprinting and black-box watermarking are two main methods. However, the former relies on determining model...

6.9AI score
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Packet Storm News
Packet Storm News
•added 2025/06/07 12:00 a.m.•20 views

Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions

Smart contracts, integral to blockchain ecosystems, enable decentralized applications to execute predefined operations without intermediaries. Their ability to enforce trustless interactions has made them a core component of platforms such as Ethereum. Vulnerabilities such as numerical overflows,...

7.4AI score
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VulnCheck KEV
VulnCheck KEV
•added 2025/06/07 12:00 a.m.•13 views

VulnCheck KEV: CVE-2024-52763

A cross-site scripting XSS vulnerability in the component /graphallperiods.php of Ganglia-web v3.73 to v3.75 allows attackers to execute arbitrary web scripts or HTML via a crafted payload injected into the "g" parameter...

5.4CVSS5.9AI score0.00615EPSS
SaveIn wildExploits1References2
VulnCheck KEV
VulnCheck KEV
•added 2025/06/07 12:00 a.m.•14 views

VulnCheck KEV: CVE-2023-48728

A cross-site scripting xss vulnerability exists in the functiongetOpenGraph videoName functionality of WWBN AVideo 11.6 and dev master commit 3c6bb3ff. A specially crafted HTTP request can lead to arbitrary Javascript execution. An attacker can get a user to visit a webpage to trigger this...

9.6CVSS7.1AI score0.02268EPSS
SaveIn wildExploits2References2
Packet Storm News
Packet Storm News
•added 2025/06/06 12:00 a.m.•20 views

Obfuscation-Resilient Binary Code Similarity Analysis Using Dominance Enhanced Semantic Graph

Binary code similarity analysis BCSA serves as a core technique for binary analysis tasks such as vulnerability detection. While current graph-based BCSA approaches capture substantial semantics and show strong performance, their performance suffers under code obfuscation due to the unstable...

7.2AI score
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Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2025/06/05 12:00 a.m.•8 views

CVE-2025-49012: Improper Authentication

Himmelblau is an interoperability suite for Microsoft Azure Entra ID and Intune. Himmelblau versions 0.9.0 through 0.9.14 and 1.00-alpha are vulnerable to a privilege escalation issue when Entra ID group-based access restrictions are configured using group display names instead of object IDs...

5.4CVSS5.7AI score0.00345EPSS
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Snyk
Snyk
•added 2025/06/04 6:43 a.m.•9 views

Unintended Proxy or Intermediary ('Confused Deputy')

Overview Affected versions of this package are vulnerable to Unintended Proxy or Intermediary 'Confused Deputy' via the ResourceGraphDefinition resources. An attacker can execute arbitrary code on cluster nodes by supplying attacker-controlled images. This is only exploitable if the user has...

6.9CVSS7.8AI score0.00375EPSS
SaveExploits0References2
Snyk
Snyk
•added 2025/06/04 6:43 a.m.•9 views

Unintended Proxy or Intermediary ('Confused Deputy')

Overview Affected versions of this package are vulnerable to Unintended Proxy or Intermediary 'Confused Deputy' via the ResourceGraphDefinition resources. An attacker can execute arbitrary code on cluster nodes by supplying attacker-controlled images. This is only exploitable if the user has...

6.9CVSS7.8AI score0.00375EPSS
SaveExploits0References2
Packet Storm News
Packet Storm News
•added 2025/06/03 12:00 a.m.•21 views

Heterogeneous Secure Transmissions in IRS-Assisted NOMA Communications: CO-GNN Approach

Intelligent Reflecting Surfaces IRS enhance spectral efficiency by adjusting reflection phase shifts, while Non-Orthogonal Multiple Access NOMA increases system capacity. Consequently, IRS-assisted NOMA communications have garnered significant research interest. However, the passive nature of the...

7.1AI score
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Packet Storm News
Packet Storm News
•added 2025/06/03 12:00 a.m.•17 views

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference

Neural network inference typically operates on raw input data, increasing the risk of exposure during preprocessing and inference. Moreover, neural architectures lack efficient built-in mechanisms for directly authenticating input data. This work introduces a novel encryption method for ensuring...

6.9AI score
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Packet Storm News
Packet Storm News
•added 2025/06/02 12:00 a.m.•18 views

An Accurate and Efficient Vulnerability Propagation Analysis Framework

Identifying the impact scope and scale is critical for software supply chain vulnerability assessment. However, existing studies face substantial limitations. First, prior studies either work at coarse package-level granularity, producing many false positives, or fail to accomplish whole-ecosyste...

7AI score
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