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THE FORENSIC ANALYSIS OF KEEPASS AND PASSWORD SAFE: AN EVALUATION OF OPEN SOURCE
PASSWORD MANAGERS BY DARYL R. MIDDLETON GRADUATE STUDENT CAPSTONE PROJECT FOR
INFORMATION SECURITY AND INTELLIGENCE FERRIS STATE UNIVERSITY ADVISOR: DR. GREG
GOGOLIN, PH.D. FULL PROFESSOR DEPARTMENT OF INFORMATION SECURITY AND
INTELLIGENCE SPRING, 2017 FERRIS STATE UNIVERSITY BIG RAPIDS,

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THE FORENSIC ANALYSIS OF KEEPASS AND PASSWORD SAFE: AN EVALUATION OF OPEN SOURCE
PASSWORD MANAGERS BY DARYL R. MIDDLETON GRADUATE STUDENT CAPSTONE PROJECT FOR
INFORMATION SECURITY AND INTELLIGENCE FERRIS STATE UNIVERSITY ADVISOR: DR. GREG
GOGOLIN, PH.D. FULL PROFESSOR DEPARTMENT OF INFORMATION SECURITY AND
INTELLIGENCE SPRING, 2017 FERRIS STATE UNIVERSITY BIG RAPIDS,

Middleton, Darryl
URI: http://hdl.handle.net/2323/6381
Datum: 2017-05-01


ZUSAMMENFASSUNG:

Access control elements such as identification and authentication form part of
the initial security landscape when integrated into a defense in depth strategy.
Identification allows a user to profess an identity with a username while
authentication with a password provides a challenge to that claimed identity.
Identification and authentication credentials that are too easy to guess will
lead to unauthorized access to network resources. Credentials that are based on
business security policies have established requirements for complexity and
change management that many times produce unintended consequences for users.
Password management programs can help mitigate some of the complexities of
access control but there must be trust in the processes ability to assure data
integrity. This project systematically challenges two popular open source
password management tools that are intentionally subjected to low memory
resources within pre-configured virtual machines. Subsequent examination of
forensic images and digital artifacts obtained from the prototype virtual
machine architecture reveal that constrained memory resources seem to affect the
efficiency of the underlying encryption algorithm. This phenomenon causes the
Master Key and underlying database credentials in some cases to be captured by
forensic software in plain text format from virtual memory and deleted files
that remain on disk.


BESCHREIBUNG:

 
133 pages.
 
Cataloged from pdf version of thesis.
 
This thesis is submitted in partial fulfillment of the requirements for the
degree of Master of Science in Information Security and Intelligence.
 
Thesis (Master of Science in Information Security and Intelligence)—Ferris State
University, Information Security and Intelligence program, 2017.
 

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