Can you help me with a work instruction document for Autopsy, In other words, simple instructions on how to install and setup and use ?Autopsy 4.1.1, Here is the link http://www.sleuthkit.org/autopsy/ ?There's info below
Autopsy- Easy to Use
Autopsy was designed to be intuitive out of the box. Installation is easy and wizards guide you
through every step. All results are found in a single tree. See the intuitive page for more details. Extensible
Autopsy was designed to be an end-to-end platform with modules that come with it out of the box
and others that are available from third-parties. Some of the modules provide: Timeline Analysis - Advanced graphical event viewing interface (video tutorial included). Hash Filtering - Flag known bad files and ignore known good. Keyword Search - Indexed keyword search to find files that mention relevant terms. Web Artifacts - Extract history, bookmarks, and cookies from Firefox, Chrome, and IE. Data Carving - Recover deleted files from unallocated space using PhotoRec Multimedia - Extract EXIF from pictures and watch videos. Indicators of Compromise - Scan a computer using STIX. See the Features page for more details. Developers should refer to the module development
page for details on building modules.
There is currently a Autopsy Module Writing Contest going on right now before OSDFCon 2016.
Start writing modules for cash prizes. Fast
Everyone wants results yesterday. Autopsy runs background tasks in parallel using multiple cores
and provides results to you as soon as they are found. It may take hours to fully search the drive, but
you will know in minutes if your keywords were found in the user's home folder. See the fast
results page for more details. Cost Effective Autopsy is free. As budgets are decreasing, cost effective digital forensics solutions are essential.
Autopsy offers the same core features as other digital forensics tools and offers other essential
features, such as web artifact analysis and registry analysis, that other commercial tools do not
provide. Autopsy Intuitive
Digital forensics tools should be intuitive and approachable so that they can be effectively used by nontechnical investigators. Autopsy 3 uses wizards to help the investigator know what the next step is, uses
common navigation techniques to help them find their results, and tries to automate as much as
possible to reduce errors. Several features were added to make sure Autopsy was easy to use for non-technical users. Wizards are used in several places to guide the user through common steps. History is maintained so that the user can use back and forward buttons to back track after they have
gone down an investigation path.
Previous settings are often saved with the modules so that you can more easily analyze the next image
with the same settings as the last image.
Autopsy's default view is a simple interface where all of the analysis results can always be found in a
single tree on the left(screen shot). When the examiner is looking for something, he should immediately
review the tree. He doesn't have to dig through menus or layers of tabs to find the information. Autopsy tries to be non-invasive with popups and messages from the background tasks that are running.
The motivation for this is that you could be focusing on an investigation path based on some web activity
or keyword search results. By having to deal with messages from background ingest modules, you could
get distracted. The ingest inbox is where modules send messages. You can then open the inbox when
you are ready to see the results, review what has been found since you last opened it, and choose which
results to start focusing on. Timeline Analysis
Timeline analysis is useful for a variety of investigation types and is often used to answer questions
about when a computer is used or what events occurred before or after a given event. Autopsy
contains an advanced timeline interface that was built with funding from DHS S&T. It pulls timestamp
info from the following places: Files Web artifacts Other Autopsy extracted data, such as EXIF and GPS It has two display modes. The first is a bar chart that answers questions about how much data
occurred in a given time frame. This interface is less about details of what occurred, but rather how
much occurred. The second interface gives you details about events. It has a unique approach of clustering similar
events together to prevent data overload. Many timelines will overwhelm the user when they bring in
data from many sources because it is too much to make sense of. Autopsy has a unique approach of
clustering events so that, for example, all files in the same folder are shown as a single event and all
URLs from the same domain are shown as a single event. If the user wants to see more details
about that folder or domain, then they can zoom into it. Otherwise, it is hidden. Regardless of the display mode, you can view file contents in a variety of viewers and have full
access to the tagging abilities from Autopsy.
You can see the timeline in action from our tutorial video:
A common question is if we will integrate with Plaso. The short answer is yes. The longer answer is
that we need to do some more research first because our approach of using clustering to group
similar items does not currently work for any arbitrary input type that we may get from Plaso. It is
currently hard coded for the input types that Autopsy produces. We will be working on a more
advanced clustering approach though so that we can leverage the parsing support from Plaso. Keyword Search and Indexing
Autopsy uses the powerful text indexing engine Apache SOLR to power its fast and robust keyword
searching features. Pre-defined lists of keywords and regular expressions can be configured to run
while the image is being ingested. By default, Autopsy includes regular expression searches for: Email Addresses Phone Numbers IP Addresses URLs In addition, ad-hoc keyword searches can be run directly from the content bar during an investigation
after (or even during) ingest of the disk image. Multiple concurrent keyword searches can be run
against the search index. Instead of searching the raw data, keyword searching in Autopsy is performed on the output of text
extraction modules. Autopsy uses Tika and other libraries to extract text from HTML, Microsoft
Office, PDF, RTF, and more. This approach is more effective at finding text than the byte-level
searching for non-English PDF files and docx files whereby the data is compressed.
Any results from the searches that are enabled (regular expression or user defined lists) will appear
in the 'Keyword hits' node in the Autopsy navigation tree.
Thanks to Apache SOLR, all of the files Autopsy identifies that have text content in them will be
indexed for searching by either the pre-defined regular expression lists, user defined keyword lists,
or ad-hoc queries. Web Artifact Analysis
Autopsy is configured to search for common web artifacts from today's major browsers, including: Firefox Chrome Internet Explorer Autopsy extracts the following information and posts it to the blackboard: Bookmarks Cookies History Downloads Search queries To make it easier to find this data, results from all browsers are merged together. So, if you want to
see the user's history, go to the history node. You don't need to go through folders for different
browsers before you can find the history.
These are all categorized and displayed automatically in the Autopsy tree view under the 'Results'
node. This feature gives an investigator automated quick access to the application level details of
what a user was doing via web browsers and could lead to additional keyword search queries and
investigation hypothesis to explore. Indicators of Compromise - Scan a computer using STIX.
Structured Threat Information eXpression (STIX?)
A structured language for cyber threat intelligence. Analysis Features
Below is the list of Autopsy features. Multi-User Cases: Collaborate with fellow examiners on large cases. Timeline Analysis: Displays system events in a graphical interface to help identify activity. Keyword Search: Text extraction and index searched modules enable you to find files that
mention specific terms and find regular expression patterns. Web Artifacts: Extracts web activity from common browsers to help identify user activity. Registry Analysis: Uses RegRipper to identify recently accessed documents and USB
devices. LNK File Analysis: Identifies short cuts and accessed documents Email Analysis: Parses MBOX format messages, such as Thunderbird. EXIF: Extracts geo location and camera information from JPEG files. File Type Sorting: Group files by their type to find all images or documents. Media Playback: View videos and images in the application and not require an external
viewer. Thumbnail viewer: Displays thumbnail of images to help quick view pictures. Robust File System Analysis: Support for common file systems, including NTFS,
FAT12/FAT16/FAT32/ExFAT, HFS+, ISO9660 (CD-ROM), Ext2/Ext3/Ext4, Yaffs2, and UFS
from The Sleuth Kit. Hash Set Filtering: Filter out known good files using NSRL and flag known bad files using
custom hashsets in HashKeeper, md5sum, and EnCase formats. Tags: Tag files with arbitrary tag names, such as 'bookmark' or 'suspicious', and add
comments. Unicode Strings Extraction: Extracts strings from unallocated space and unknown file types
in many languages (Arabic, Chinese, Japanese, etc.). File Type Detection based on signatures and extension mismatch detection. Interesting Files Module will flag files and folders based on name and path. Android Support: Extracts data from SMS, call logs, contacts, Tango, Words with Friends,
and more. Input Formats
Autopsy analyzes disk images, local drives, or a folder of local files. Disk images can be in either
raw/dd or E01 format. E01 support is provided by libewf. Reporting
Autopsy has an extensible reporting infrastructure that allows additional types of reports for
investigations to be created. By default, an HTML, XLS, and Body file report are available. Each are
configurable depending on what information an investigator would like included in their report: HTML and Excel: The HTML and Excel reports are intended to be fully packaged and
shareable reports. They can include references to tagged files along with comments and
notes inserted by the investigator as well as other automated searches that Autopsy
performs during ingest. These include bookmarks, web history, recent documents, keyword
hits, hashset hits, installed programs, devices attached, cookies, downloads, and search
queries. Body File: Primarily for use in timeline analysis, this file will include MAC times for every file
in an XML format for import by external tools, such asmactime in The Sleuth Kit. An investigator can generate more than one report at a time and either edit one of the existing or
create a new reporting module to customize the behavior for their specific needs. Fast Results
As media grows in size, it takes longer to analyze all of it. Physics prevents us from getting all of the
evidence before we get a cup of coffee, but Autopsy will tell you about evidence as soon as it knows
it and will try to find the most relevant evidence first.
Autopsy has several features to get you evidence faster: Multiple ingest modules run in parallel to take advantage of multi-core systems. Time intensive steps can be disabled for a faster, but less thorough analysis (i.e. triage). For
example, you can skip searching for orphan FAT files and skip analysis of unallocated space. User folders and files are prioritized over system folders and files. Results from ingest modules are, in general, given as soon as they are found. The ingest
inbox provides feedback on what modules are reporting.
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