Unwanted Data
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
101 Useful Linux Commands - Haydenjames.Io
101 Useful Linux Commands - haydenjames.io Some of these commands require elevated permissions (sudo) to run. Enjoy! 1. Execute the previous command used: !! 2. Execute a previous command starting with a specific letter. Example: !s 3. Short way to copy or backup a file before you edit it. For example, copy nginx.conf cp nginx.conf{,.bak} 4. Toggle between current directory and last directory cd - 5. Move to parent (higher level) directory. Note the space! cd .. 6. Go to home directory cd ~ 7. Go to home directory cd $HOME 8. Go to home directory (when used alone) cd 9. Set permissions to 755. Corresponds to these permissions: (-rwx-r-x-r-x), arranged in this sequence: (owner-group-other) chmod 755 <filename> 10. Add execute permission to all users. chmod a+x <filename> 11. Changes ownership of a file or directory to . chown <username> 12. Make a backup copy of a file (named file.backup) cp <file> <file>.backup 13. Copy file1, use it to create file2 cp <file1> <file2> 14. Copy directory1 and all its contents (recursively) into directory2 cp -r <directory1> <directory2>/ 15. Display date date 16. Zero the sdb drive. You may want to use GParted to format the drive afterward. You need elevated permissions to run this (sudo). dd if=/dev/zero of=/dev/sdb 17. Display disk space usage df -h 18. Take detailed messages from OS and input to text file dmesg>dmesg.txt 19. Display a LOT of system information. I usually pipe output to less. You need elevated permissions to run this (sudo). -
Youwipe Assurance Test Report by KÜRT .Pdf
HDD DATA ERASURE ASSURANCE REPORT TR/yw/20-10-22 KÜRT had been asked to process a detailed analysis of YouWipe edition v4.1.93.2010221419-945f40cc data erasure tool capabilities on hard disk drives with data recovery tools. 1. ASSIGNMENT In response to YouWipe engagement KÜRT Data Recovery Lab have performed the test of the erasure capabilities of YouWipe tool on the following HDD devices: 1. Model : Seagate Barracuda ST1000DM003 Serial number: Z1D6GVFS 2. Model: Western Digital WD20EZRX-00D8PB0 Serial number: WCC4M5LSR3A0 2. ACTIVITIES KÜRT test was performed in accordance with data recovery current technological standards and included the procedures considered necessary in the circumstances to obtain a reasonable basis for rendering the last opinion. 3. TEST LEVELS Examination can include different Test Levels in the context of a desired defense against a certain Risk Level (ADISA) or Effort Level (NIST). 1. Test Level 1: NIST Clear, ADISA Risk level 1 (Low) 2. Test Level 2: NIST Purge, ADISA Risk Level 2 (Medium) KÜRT Data Recovery performed the tests on Test Level 1 and Test Level 2. 4. EXAMINATION PROCESS The examination was performed during the period 5 - 21. October 2020 and included the following steps: 1. A special - KÜRT specific - data pattern was written on the HDD’s, filling the full available capacity of the HDD’s. 2. Using YouWipe v4.1.93 software with “EXT HMG Infosec High” HDD Erasure Method, the HDD’s were wiped following the instructions given with YouWipe software. 3. The HDD’s were analyzed on low level (sector by sector) with several KÜRT Data Recovery software tools. -
NIST 800-88 VS Dod 5220.22-M What Is the Best Method?
® NIST 800-88 VS DoD 5220.22-M What Is The Best Method? OVERVIEW The DoD 5220.22-M has long been an industry standard when it comes to data sanitization, but drive technology has changed drastically since the standard was last changed in 2006. The more modern NIST 800.88 US government standard has taken the role as the primary erasure pattern for government, military and enterprise. Due to the necessary changes that arrived with SSD and newer drive technologies, Sipi Asset Recovery highly recommends using the current NIST 800.88 for sanitizing all drive types. THE ORIGIN OF DOD 3-PASS WIPE STANDARD The idea that multiple wipe passes are necessary to render ad ta irrecoverable originates in part with a 1996 study published by Peter Gutmann who suggested that data should be wiped up to 35 times. He proposed that data could be recovered using magnetic force microscopy (MFM) and scanning tunneling microscopy (STM) techniques. Gutmann’s study was widely cited and lead to the adoption of the DoD 3-pass wipe as a standard. The Department of Defense 5220.22-M requires 3 overwrites passes (0’s, 1’s, Random) with a 100% verification pass. This standard was last updated in 2006 and in consideration of the pace of advancement in technology this criteria is significantly out of date. Modern hard drives over the last 10-15 years have advanced in technology to the point where the MFM and STM techniques have become obsolete. Specifically, part of Gutmann’s claim was that the head positioning system in hard drives was not precise enough to overwrite new data on top of the exact position of the old data, thus creating the possibility that the old data would remain intact. -
Bitraser File Eraser Fact Sheet
BITRASER FILE ERASER WORLD'S MOST RELIABLE DATA ERASURE SOFTWARE SIMPLE. SECURE. File Erasure Software Erases Files, Folders & Partitions from PC, Mac, Server IDEAL FOR INDIVIDUAL, HOME USER & ENTERPRISE Reliable Privacy Safeguarding Software To Erase Sensitive & Confidential Data Beyond Recovery BitRaser File Eraser is a privacy safeguarding software that permanently erases files, folders, partitions, Internet history etc. stored on laptop,desktop, server beyond the scope of data recovery. The software meets daily data sanitization requirements of organizations and individuals by erasing data securely. The software allows you to schedule erasure process & maintain detailed log reports of all files deleted for meeting statutory & regulatory compliance needs for data security & privacy – SOX, GLB, HIPAA, ISO27001,EU-GDPR, PCI-DSS. SOFTWARE WITH EXCELLENT CAPABILITIES SECURE FILE & FOLDER ERASURE HIGH SPEED ERASURE Securely erases sensitive files from PC, laptop, Performs high speed simultaneous erasure of mac and server beyond recovery thereby multiple files in the most efficient way. maintaining privacy. ERASES PARTITIONS EMAIL & BROWSER HISTORY ERASURE Ability to safely erase entire logical drives or Wipes emails & browser history and archives partitions without harming applications & residing in any drive/ media / server without operating system files. leaving any traces. REMOVES COOKIES, BROWSER HISTORY CERTIFIED ERASURE & APPLICATION TRACES A certificate is generated to meet statutory and Erase cookies & Internet browser history that regulatory compliances. track your behavior pattern along with most recently used application traces. BITRASER ADVANTAGE Safeguards Unlimited Easy to use Retain Safe & Cost Your Privacy Erasure in a Year Interface OS Files Reliable Effective BITRASER, AN INNOVATION BY STELLAR, THE GLOBAL DATA CARE EXPERTS TRUSTED BY MILLIONS, SINCE 1993. -
Wildlife Management Activities and Practices
WILDLIFE MANAGEMENT ACTIVITIES AND PRACTICES COMPREHENSIVE WILDLIFE MANAGEMENT PLANNING GUIDELINES for the Edwards Plateau and Cross Timbers & Prairies Ecological Regions Revised April 2010 The following Texas Parks & Wildlife Department staff have contributed to this document: Mike Krueger, Technical Guidance Biologist – Lampasas Mike Reagan, Technical Guidance Biologist -- Wimberley Jim Dillard, Technical Guidance Biologist -- Mineral Wells (Retired) Kirby Brown, Private Lands and Habitat Program Director (Retired) Linda Campbell, Program Director, Private Lands & Public Hunting Program--Austin Linda McMurry, Private Lands and Public Hunting Program Assistant -- Austin With Additional Contributions From: Kevin Schwausch, Private Lands Biologist -- Burnet Terry Turney, Rare Species Biologist--San Marcos Trey Carpenter, Manager, Granger Wildlife Management Area Dale Prochaska, Private Lands Biologist – Kerr Wildlife Management Area Nathan Rains, Private Lands Biologist – Cleburne TABLE OF CONTENTS Comprehensive Wildlife Management Planning Guidelines Edwards Plateau and Cross Timbers & Prairies Ecological Regions Introduction Specific Habitat Management Practices HABITAT CONTROL EROSION CONTROL PREDATOR CONTROL PROVIDING SUPPLEMENTAL WATER PROVIDING SUPPLEMENTAL FOOD PROVIDING SUPPLEMENTAL SHELTER CENSUS APPENDICES APPENDIX A: General Habitat Management Considerations, Recommendations, and Intensity Levels APPENDIX B: Determining Qualification for Wildlife Management Use APPENDIX C: Wildlife Management Plan Overview APPENDIX D: Livestock -
GNU Coreutils Cheat Sheet (V1.00) Created by Peteris Krumins ([email protected], -- Good Coders Code, Great Coders Reuse)
GNU Coreutils Cheat Sheet (v1.00) Created by Peteris Krumins ([email protected], www.catonmat.net -- good coders code, great coders reuse) Utility Description Utility Description arch Print machine hardware name nproc Print the number of processors base64 Base64 encode/decode strings or files od Dump files in octal and other formats basename Strip directory and suffix from file names paste Merge lines of files cat Concatenate files and print on the standard output pathchk Check whether file names are valid or portable chcon Change SELinux context of file pinky Lightweight finger chgrp Change group ownership of files pr Convert text files for printing chmod Change permission modes of files printenv Print all or part of environment chown Change user and group ownership of files printf Format and print data chroot Run command or shell with special root directory ptx Permuted index for GNU, with keywords in their context cksum Print CRC checksum and byte counts pwd Print current directory comm Compare two sorted files line by line readlink Display value of a symbolic link cp Copy files realpath Print the resolved file name csplit Split a file into context-determined pieces rm Delete files cut Remove parts of lines of files rmdir Remove directories date Print or set the system date and time runcon Run command with specified security context dd Convert a file while copying it seq Print sequence of numbers to standard output df Summarize free disk space setuidgid Run a command with the UID and GID of a specified user dir Briefly list directory -
Data Erasure on Magnetic Storage
“HENRI COANDA” GERMANY “GENERAL M.R. STEFANIK” AIR FORCE ACADEMY ARMED FORCES ACADEMY ROMANIA SLOVAK REPUBLIC INTERNATIONAL CONFERENCE of SCIENTIFIC PAPER AFASES 2011 Brasov, 26-28 May 2011 DATA ERASURE ON MAGNETIC STORAGE Mihăiţă IVAŞCU Metra, Bucharest, Romania Abstract: User data is left is left on the hard drives removed from computers and storage systems, creating a data security vulnerability that many users are unaware of. This is mostly due the fact that normal “delete” or “format” commands leave data intact on a user computer. The cardinal rule of computer storage design has been to protect user data at all costs. Disk drives supply primary mass storage for computer systems designed to prevent accidental erasure of data. Techniques such as “recycle” folders and “unerase” commands are common ways that operating systems try to prevent accidental sanitization of user data. Deletion of file pointers is standard to speeds data writing, because actual overwriting of file data is far slower. These measures taken to protect and speed access to user data can make that data vulnerable to recovery by unauthorized persons. There is an urgent need for a capability to reliably erase data and prevent access to data from retired computer hard disk drives for security and privacy reasons. Data sanitization needs arise differently depending upon user application. The current work presents standards for data erasure, most important methods of data sanitization of hard disk drives and presents how a customized method of data erasure can be implemented. Keywords: recycle, data sanitization, recovery, security vulnerability 1. INTRODUCTION 2. COMPLETE ERASURE OF USER DATA When a computer is lost or disposed of, active and discarded data typically remains 2.1 Known methods of “deleting” data. -
Constraints in Dynamic Symbolic Execution: Bitvectors Or Integers?
Constraints in Dynamic Symbolic Execution: Bitvectors or Integers? Timotej Kapus, Martin Nowack, and Cristian Cadar Imperial College London, UK ft.kapus,m.nowack,[email protected] Abstract. Dynamic symbolic execution is a technique that analyses programs by gathering mathematical constraints along execution paths. To achieve bit-level precision, one must use the theory of bitvectors. However, other theories might achieve higher performance, justifying in some cases the possible loss of precision. In this paper, we explore the impact of using the theory of integers on the precision and performance of dynamic symbolic execution of C programs. In particular, we compare an implementation of the symbolic executor KLEE using a partial solver based on the theory of integers, with a standard implementation of KLEE using a solver based on the theory of bitvectors, both employing the popular SMT solver Z3. To our surprise, our evaluation on a synthetic sort benchmark, the ECA set of Test-Comp 2019 benchmarks, and GNU Coreutils revealed that for most applications the integer solver did not lead to any loss of precision, but the overall performance difference was rarely significant. 1 Introduction Dynamic symbolic execution is a popular program analysis technique that aims to systematically explore all the paths in a program. It has been very successful in bug finding and test case generation [3, 4]. The research community and industry have produced many tools performing symbolic execution, such as CREST [5], FuzzBALL [9], KLEE [2], PEX [14], and SAGE [6], among others. To illustrate how dynamic symbolic execution works, consider the program shown in Figure 1a. -
Data Erasure Faqs for the U.S. Public Sector
Data Erasure FAQs for the U.S. Public Sector Blancco has been helping government organizations across the globe reduce risk for over twenty years. As the leader in data erasure software, our solutions are proven to be the most secure and effective on the market. Read on for a list of some of the common questions we receive from U.S. public sector, then reach out to us for additional information on how we can help you improve data security across your organization. Which is more secure – physical destruction or data erasure? While physical destruction is required for many government Again, as NIST explains, “Applying destructive techniques organizations, newer drive technology presents additional to electronic storage media (e.g., flash memory) is also variables that need to be considered to mitigate risk. While becoming more challenging, as the necessary particle degaussing is the cheapest and easiest form of physical size for commonly applied grinding techniques goes down destruction for HDDs, it is incapable of removing data on proportionally to any increases in flash memory storage SSDs or NVMes. Degaussing destroys data by reducing density. Flash memory chips already present challenges or eliminating the unwanted magnetic fields and rendering with occasional damage to grinders due to the hardness of the drive unusable. Flash-based storage such as SSDs or the component materials, and this problem will get worse NVMes are incapable of being degaussed because their as grinders attempt to grind the chips into even smaller data is not stored magnetically. pieces.” As NIST explains, “Destructive techniques for some media Security throughout the full chain of custody can also be types may become more difficult or impossible to apply in an issue. -
Secure Data Deletion
Research Collection Doctoral Thesis Secure Data Deletion Author(s): Reardon, Joel Publication Date: 2014 Permanent Link: https://doi.org/10.3929/ethz-a-010411932 Rights / License: In Copyright - Non-Commercial Use Permitted This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library Diss. ETH No. 22475 Secure Data Deletion A thesis submitted to attain the degree of DOCTOR OF SCIENCES of ETH ZURICH (Dr. sc. ETH Zurich) presented by Joel Reardon Master of Mathematics, University of Waterloo born 31.07.1983 citizen of Canada accepted on the recommendation of Prof. Dr. Srdjan Capkun,ˇ examiner Prof. Dr. David Basin, coexaminer Prof. Dr. Ari Juels, coexaminer Prof. Dr. Paul Van Oorschot, coexaminer Dr. Alessandro Sorniotti, coexaminer 2014 Abstract Secure data deletion is the task of deleting data from a physical medium so that the data is irrecoverable. This irrecoverability is what distin- guishes secure deletion from regular deletion, which ostensibly deletes unneeded data only to reclaim resources. We securely delete data to prevent an adversary from gaining access to it, and so secure deletion is a natural part of the confidentiality of data. In this thesis, we examine secure deletion in a variety of different systems and different layers: from the hardware level of ensuring a storage medium can efficiently delete data to the system level of deleting data from unreliable and untrusted servers. We examine related work in detail, identify the deficiencies and unsolved problems, and build our own solutions to advance the state of the art. -
Jackson State University Department of Computer Science CSC 438-01/539-01 Systems and Software Security, Spring 2014 Instructor: Dr
Jackson State University Department of Computer Science CSC 438-01/539-01 Systems and Software Security, Spring 2014 Instructor: Dr. Natarajan Meghanathan Project 1: Exploring UNIX Access Control in a Virtual Machine Environment Due: February 26, 2014, 7.30 PM The objective of this project is to explore the different UNIX access control commands and their features. You will do this project in a virtual machine environment. If you already have a virtual machine installed (either in VM Player or Virtual Box, you can skip the following steps and proceed to Page 4). Installing VirtualBox 4.2 and Ubuntu OS Go to https://www.virtualbox.org/wiki/Downloads and download VirtualBox for your operating system. If you work on a lab computer, you need to use the Ubuntu VM .iso file that is stored on the local machine. If you work on your personal computer, you need to download the Ubuntu .iso file from the website listed in Step # 1 and continue. You may use the following steps for installing the Ubuntu VM on the virtualbox. 1. The Ubuntu installation file is located on the desktop of your PC (it can be downloaded from http://www.ubuntu.com/download/ubuntu/download if the .iso file cannot be located on your desktop). 2. On the VirtualBox Manager screen click on “New” 1 3. When prompted, put your J # for the name of the VM and select “Linux” as OS (when you choose Linux as OS, the program should automatically choose Ubuntu as Version, if not select Ubuntu) and click Next. 4. -
SHRED DOCUMENTATION ZONGE Data Processing GDP Data
SHRED DOCUMENTATION ZONGE Data Processing GDP Data Reformat Program version 3.2x Barry Sanders Mykle Raymond John Rykala November, 1996 Zonge Engineering & Research Organization, Inc. 3322 East Fort Lowell Road, Tucson, AZ 85716 USA Tel:(520) 327-5501 Fax:(520) 325-1588 Email:[email protected] GDP DATA PROCESSING MANUAL TABLE OF CONTENTS SHRED ............................................................................ page Introduction.............................................................................5 Usage .......................................................................................5 Software Operation.................................................................7 Calculation of Receiver Location ......................................................... 8 Survey Configurations ........................................................................... 8 Rx Definitions ........................................................................................ 8 Sorting the data file ................................................................................ 9 Splitting the data file .............................................................................. 9 Data Processing Flags.......................................................................... 10 Comment and Program Control Lines ................................................ 11 Transmitter Current Corrections ......................................................... 11 AMT Correlation Coefficient Filter...................................................