9940 matches found
CVE-2021-33598
A Denial-of-Service DoS vulnerability was discovered in all versions of F-Secure Atlant whereby the SAVAPI component used in certain F-Secure products can crash while scanning fuzzed files. The exploit can be triggered remotely by an attacker. A successful attack will result in Denial-of-Service...
CVE-2023-4383
A vulnerability, which was classified as critical, was found in MicroWorld eScan Anti-Virus 7.0.32 on Linux. This affects an unknown part of the file runasroot. The manipulation leads to incorrect execution-assigned permissions. The attack needs to be approached locally. The exploit has been...
CVE-1999-0378
InterScan VirusWall for Solaris doesn't scan files for viruses when a single HTTP request includes two GET commands...
CVE-2025-1857
A vulnerability classified as critical has been found in PHPGurukul Nipah Virus Testing Management System 1.0. This affects an unknown part of the file /checkavailability.php. The manipulation of the argument employeeid leads to sql injection. It is possible to initiate the attack remotely. The...
EUVD-2025-202655
Not used...
New RadzaRat Spyware Poses as File Manager to Hijack Android Devices
Certo Software found RadzaRat, an Android RAT disguised as a file manager that has a 0/66 detection rate on VirusTotal. It keylogs passwords and steals files...
EUVD-2025-197675
Not used...
EUVD-2025-131933
IBM OpenPages 9.0 and 9.1 is vulnerable to HTTP header injection, caused by improper validation of input by the HOST headers. This could allow an attacker to conduct various attacks against the vulnerable system, including cross-site scripting, cache poisoning or session hijacking...
Malicious code in gridsome-dependencies-hugo-ganymede (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 34cb118dfb512914757607f2581b601773b46370aa44eedf0fd97b506eeb430c This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
MH-1M: A 1.34 Million-Sample Comprehensive Multi-Feature Android Malware Dataset for Machine Learning, Deep Learning, Large Language Models, and Threat Intelligence Research
We present MH-1M, one of the most comprehensive and up-to-date datasets for advanced Android malware research. The dataset comprises 1,340,515 applications, encompassing a wide range of features and extensive metadata. To ensure accurate malware classification, we employ the VirusTotal API,...
EUVD-2004-2080
Malware in sbrugna...
EUVD-2006-4826
Malware in sbrugna...
EUVD-2008-6624
Malware in sbrugna...
EUVD-2005-3228
Malware in sbrugna...
EUVD-2018-3238
Malware in sbrugna...
EUVD-2020-8110
Malware in sbrugna...
EUVD-2005-3400
Malware in sbrugna...
EUVD-2007-4225
Malware in sbrugna...