• Prakash Kushwaha
• Gauri Shirsat

Blockchain, an emerging technology, relies heavily on the efficiency and performance of hash functions. Originally developed to meet specific cryptographic needs, these functions have now become commonplace for developers and protocol programmers. Since 2004, however, attacks on conventional hash algorithms have increased dramatically. In this paper, we scrutinize the reported security flaws in well-known hashing algorithms and identify those that are easily exploited. A hash function is considered broken when an attack can use specific performance information to find a preimage, second preimage, or collision faster than a normal attack Our analysis delves into the changing landscape of cryptographic vulnerabilities, highlighting the sharp rise in post-2004 attacks. By analyzing reported security flaws we categorize and analyze attacks, providing a nuanced understanding of weaknesses in different hashing algorithms Furthermore, we provide a comprehensive summary of a it deals with hash algorithms that have been compromised, providing a valuable resource for blockchain developers This collection not only supports blockchain selection, design, and implementation but also forms the basis for future research to increase the security of hash implementation in the context of blockchain and other emerging technologies .

Hashing Algorithms, Security Flaws, ,Cryptography, MD5, Hash Function Attacks, SHA-256.

"Comprehensive Review of the Security Flaws of Hashing Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.a195-a198, February-2024, Available :http://www.jetir.org/papers/JETIR2402024.pdf

"Comprehensive Review of the Security Flaws of Hashing Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppa195-a198, February-2024, Available at : http://www.jetir.org/papers/JETIR2402024.pdf