Lucene search
+L

5082 matches found

RedhatCVE
RedhatCVE
•added 2025/09/11 8:27 p.m.•15 views

CVE-2025-53913

Excessive Privileges vulnerability in Calix GigaCenter ONT Quantenna SoC modules allows Privilege Abuse.This issue affects GigaCenter ONT: 844E, 844G, 844GE, 854GE, 812G, 813G, 818G...

7CVSS7AI score0.00208EPSS
SaveExploits0References1
RedhatCVE
RedhatCVE
•added 2025/09/11 8:27 p.m.•13 views

CVE-2025-53914

Excessive Privileges vulnerability in Calix GigaCenter ONT Broadcom SoC modules allows Privilege Abuse.This issue affects GigaCenter ONT: 844E, 844G, 844GE, 854GE, 812G, 813G, 818G...

7CVSS7AI score0.00233EPSS
SaveExploits0References1
Github Security Blog
Github Security Blog
•added 2025/09/11 5:54 a.m.•4 views

Malware in sos-models

Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outsid...

5.8AI score
SaveExploits0References1Affected Software1
Snyk
Snyk
•added 2025/09/11 5:54 a.m.•11 views

Malicious Package

Overview sos-models is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package authorship...

9.8CVSS6.8AI score
SaveExploits0References2
OSSF Malicious Packages
OSSF Malicious Packages
•added 2025/09/11 5:54 a.m.•13 views

Malicious code in sos-models (npm)

The package sos-models was found to contain malicious code. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 7171745aec44dc0f96e3426f39966e6f22281703919bc10a7a161efef9b928cf Any computer that has this package installed or running should be considered fully compromise...

6.9AI score
SaveExploits0References1
OSV
OSV
•added 2025/09/11 5:54 a.m.•10 views

MAL-2025-47089 Malicious code in sos-models (npm)

The package sos-models was found to contain malicious code. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 7171745aec44dc0f96e3426f39966e6f22281703919bc10a7a161efef9b928cf Any computer that has this package installed or running should be considered fully compromise...

6.9AI score
SaveExploits0References1
Github Security Blog
Github Security Blog
•added 2025/09/11 3:35 a.m.•4 views

Malware in @team-event/models

Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outsid...

5.8AI score
SaveExploits0References1Affected Software1
Snyk
Snyk
•added 2025/09/11 3:35 a.m.•9 views

Malicious Package

Overview @team-event/models is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package...

9.8CVSS6.8AI score
SaveExploits0References2
OSV
OSV
•added 2025/09/11 3:35 a.m.•15 views

MAL-2025-47048 Malicious code in @team-event/models (npm)

The package @team-event/models was found to contain malicious code. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 6769b5703bfb1b74cb1db2c7bf3e87a4abfcc35e4e3fd588c284080cb96583e2 Any computer that has this package installed or running should be considered fully...

6.9AI score
SaveExploits0References4
OSSF Malicious Packages
OSSF Malicious Packages
•added 2025/09/11 3:35 a.m.•17 views

Malicious code in @team-event/models (npm)

The package @team-event/models was found to contain malicious code. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 6769b5703bfb1b74cb1db2c7bf3e87a4abfcc35e4e3fd588c284080cb96583e2 Any computer that has this package installed or running should be considered fully...

6.9AI score
SaveExploits0References4
Snyk
Snyk
•added 2025/09/11 3:35 a.m.•4 views

Malicious Package

Overview @liquid-web/models is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package...

9.8CVSS6.8AI score
SaveExploits0References2
Github Security Blog
Github Security Blog
•added 2025/09/11 3:35 a.m.•3 views

Malware in @liquid-web/models

Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outsid...

5.8AI score
SaveExploits0References1Affected Software1
OSSF Malicious Packages
OSSF Malicious Packages
•added 2025/09/11 3:35 a.m.•8 views

Malicious code in @liquid-web/models (npm)

The package @liquid-web/models was found to contain malicious code. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 94c4dab8510635c784a7216857ef9d389224b338150feaf297bbb75eb824bdcf Any computer that has this package installed or running should be considered fully...

6.9AI score
SaveExploits0References3
OSV
OSV
•added 2025/09/11 3:35 a.m.•7 views

MAL-2025-47038 Malicious code in @liquid-web/models (npm)

The package @liquid-web/models was found to contain malicious code. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 94c4dab8510635c784a7216857ef9d389224b338150feaf297bbb75eb824bdcf Any computer that has this package installed or running should be considered fully...

6.9AI score
SaveExploits0References3
Packet Storm News
Packet Storm News
•added 2025/09/11 12:00 a.m.•18 views

Fraud Detection and Risk Assessment of Online Payment Transactions on E-Commerce Platforms Based on LLM and GCN Frameworks

With the rapid growth of e-commerce, online payment fraud has become increasingly complex, posing serious threats to financial security and consumer trust. Traditional detection methods often struggle to capture the intricate relational structures inherent in transactional data. This study presen...

6.8AI score
SaveExploits0
Packet Storm News
Packet Storm News
•added 2025/09/11 12:00 a.m.•19 views

What You Code Is What We Prove: Translating BLE App Logic into Formal Models with LLMs for Vulnerability Detection

The application layer of Bluetooth Low Energy BLE is a growing source of security vulnerabilities, as developers often neglect to implement critical protections such as encryption, authentication, and freshness. While formal verification offers a principled way to check these properties, the manu...

7AI score
SaveExploits0
Github Security Blog
Github Security Blog
•added 2025/09/10 5:15 p.m.•27 views

Picklescan is Vulnerable to Unsafe Globals Check Bypass through Subclass Imports

Summary The vulnerability allows malicious actors to bypass PickleScan's unsafe globals check, leading to potential arbitrary code execution. The issue stems from PickleScan's strict check for full module names against its list of unsafe globals. By using subclasses of dangerous imports instead o...

9.3CVSS8AI score0.00789EPSS
SaveExploits1References8Affected Software1
Packet Storm News
Packet Storm News
•added 2025/09/10 12:00 a.m.•15 views

Flow-Based Detection and Identification of Zero-Day IoT Cameras

The majority of consumer IoT devices lack mechanisms for administrators to monitor and control them, hindering tailored security policies. A key challenge is identifying whether a new device, especially a streaming IoT camera, has joined the network. We present zCamInspector, a system for...

6.8AI score
SaveExploits0
Packet Storm News
Packet Storm News
•added 2025/09/10 12:00 a.m.•18 views

Efficient Decoding Methods for Language Models on Encrypted Data

Large language models LLMs power modern AI applications, but processing sensitive data on untrusted servers raises privacy concerns. Homomorphic encryption HE enables computation on encrypted data for secure inference. However, neural text generation requires decoding methods like argmax and...

6.7AI score
SaveExploits0
OSV
OSV
•added 2025/09/09 9:19 p.m.•20 views

GHSA-6VM5-6JV9-RJPJ MONAI: Unsafe torch usage may lead to arbitrary code execution

Summary In modeldict = torch.loadfullpath, maplocation=torch.devicedevice, weightsonly=True in monai/bundle/scripts.py , weightsonly=True is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when...

8.8CVSS6AI score0.00757EPSS
SaveExploits1References6
Rows per page
Query Builder