Passcrack: cracking, hashing, and strength testing for a secure digital future

Abstract The most common form of securing digital assets is still via passwords, but weak password practices leave the door wide open to cyberattacks. In this study, we describe PassCrack, a responsible credential cracking suite that raises user awareness by demonstrating real vulnerabilities. This is an educational exploration as well as a practical security assessment, where there is a Password Cracker (to test your passwords); Hash Finder (for any information you want to crack); Password Strength Tester; and Masking Mechanism for password generation. PassCrack can be used not just to break open a weak password as traditional password security tools do, but it will also help users understand the techniques used to crack passwords and how they can manage stronger password security. According to the researchers, over 40% of the users tested had weak passwords that could be cracked in seconds and they demonstrate the need for stronger practices when it comes to passwords. The use of the Password Strength Checker resulted in 30% of the users adopting significantly stronger passwords, showing great promise in promoting education in the cybersecurity field. The Masking Mechanism further enhances security by adding complexity to how hashed passwords are stored, making it challenging for potential attackers to reverse-engineer them. PassCrack closes the gap between password security theory and practical threats and transforms users from easy targets to pavement and easy meat. There is still a lot to be done such as enhancing multi-factor authentication (MFA) integration and Artificial Intelligence (AI)-driven password assessments to improve password security awareness.

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Publication Details

Journal
International Journal on Smart Sensing and Intelligent Systems
Published
2025-01-01
DOI
https://doi.org/10.2478/ijssis-2025-0024
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Passcrack: cracking, hashing, and strength testing for a secure digital future

Pooja Bagane, Obsa Amenu Jebessa, Mokshada Sable, Aarohi Panicker et al.
International Journal on Smart Sensing and Intelligent Systems
Advanced Malware Detection Techniques
article

Passcrack: cracking, hashing, and strength testing for a secure digital future

Pooja Bagane, Obsa Amenu Jebessa, Mokshada Sable, Aarohi Panicker, Anujesh Ansh
article en

Abstract

Abstract The most common form of securing digital assets is still via passwords, but weak password practices leave the door wide open to cyberattacks. In this study, we describe PassCrack, a responsible credential cracking suite that raises user awareness by demonstrating real vulnerabilities. This is an educational exploration as well as a practical security assessment, where there is a Password Cracker (to test your passwords); Hash Finder (for any information you want to crack); Password Strength Tester; and Masking Mechanism for password generation. PassCrack can be used not just to break open a weak password as traditional password security tools do, but it will also help users understand the techniques used to crack passwords and how they can manage stronger password security. According to the researchers, over 40% of the users tested had weak passwords that could be cracked in seconds and they demonstrate the need for stronger practices when it comes to passwords. The use of the Password Strength Checker resulted in 30% of the users adopting significantly stronger passwords, showing great promise in promoting education in the cybersecurity field. The Masking Mechanism further enhances security by adding complexity to how hashed passwords are stored, making it challenging for potential attackers to reverse-engineer them. PassCrack closes the gap between password security theory and practical threats and transforms users from easy targets to pavement and easy meat. There is still a lot to be done such as enhancing multi-factor authentication (MFA) integration and Artificial Intelligence (AI)-driven password assessments to improve password security awareness.

International Journal on Smart Sensing and Intelligent SystemsVol. 18(1)
Jimma University (ET), Symbiosis International University (IN)
Openalex Percentile: Top 85%
Advanced Malware Detection Techniques
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