18 skills found
HarmJ0y / DAMPThe Discretionary ACL Modification Project: Persistence Through Host-based Security Descriptor Modification
NoMoreFood / RepaclsWindows File Security Utility (replacement for xcacls, icacls, setacl, and subinacl)
TheManticoreProject / WinaclA cross platform Go library to work with Windows Security Descriptors
monnappa22 / PsinfoPsinfo is a Volatility plugin which collects the process related information from the VAD (Virtual Address Descriptor) and PEB (Process Enivornment Block) and displays the collected information and suspicious memory regions for all the processes running on the system. This plugin should allow a security analyst to get the process related information and spot any process anamoly without having to run multiple plugins.
zacateras / Sddl ParserSecurity Descriptor Definition Language (SDDL) Parser
skelsec / WinaclPlatform independent library for interfacing windows security descriptors
jschicht / Secure2CsvDecode security descriptors in $Secure on NTFS
sgabe / CVE 2019 1253AppXSvc Arbitrary File Security Descriptor Overwrite EoP
mtth-bfft / WinsddlWindows Security Descriptor Definition Language (SDDL) parser and formatter
AbdulRhmanAlfaifi / SDSParser RsNTFS Security Descriptor Stream ($Secure:$SDS) parser
HyperSine / SecurityDescriptorHelperTransferred from https://github.com/DoubleLabyrinth/SecurityDescriptorHelper
microsoft / SMBSecurityThe SMBSecurity module can read and modify the SMB Server Security Descriptors. The functionality is like the old XP PowerToys TweakUI tool, set LanMan Server Admin DACLs feature but updated and command line based.
huner2 / Go SddlparseThis library provides functions to parse and modify the Security Descriptors found in Windows and Active Directory.
pratishtha-agarwal / Automation Of Attendance Montoring SystemIt performs Facial recognition with high accuracy. This attendance project uses webcam to detect faces and records the attendance live in an excel sheet. In order to determine the distinctive aspects of the faces based on distance, convolutional neural networks are used. All you need to do is stand in front of the camera and your face is verified instantly in milliseconds, without recording the attendance more than once. Facial recognition systems are commonly used for verification and security purposes but the levels of accuracy are still being improved. Errors occurring in facial feature detection due to occlusions, pose and illumination changes can be compensated by the use of hog descriptors. The most reliable way to measure a face is by employing deep learning techniques. The final step is to train a classifier that can take in the measurements from a new test image and tells which known person is the closest match. A python based application is being developed to recognize faces in all conditions. We study the question of feature sets for robust visual object recognition; adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient based descriptors, we show experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection. We study the influence of each stage of the computation on performance, concluding that fine-scale gradients, fine orientation binning, relatively coarse spatial binning, and high-quality local contrast normalization in overlapping descriptor blocks are all important for good results. The new approach gives near-perfect separation on the original MIT pedestrian database, so we introduce a more challenging dataset containing over 1800 annotated human images with a large range of pose variations and backgrounds.
rohnedwards / TestAclAllows testing of Windows security descriptors.
bopin2020 / WinSecurityModelWindows Security Model on a series of Token,Privilege,Medantory,ACL,SECURITY_DESCRIPTOR and so on
AbdulRhmanAlfaifi / SDSParser PyNTFS Security Descriptor Stream ($Secure:$SDS) parser, Python bindings for https://github.com/AbdulRhmanAlfaifi/SDSParser-rs
priyanshpsalian / VISION THE BLINDAn all in one solution for safety and security of blind. Features covered in this project were Google maps navigation by voice, Currency Detector, Voice assistance for daily tasks, environment descriptor, and full house appliances control including face recognition door lock .
