26 January, 2024

Stop Using MD-5, Now!

TL;DR: Don't use MD-5 to identify malware samples. Believe me, it is a bad idea. Use SHA-256 or a stronger hash function.

This post is dedicated to all malware researchers, still using MD-5 to identify malware samples.

Before deep-diving into the details, let me explain my view on this topic. Whenever you want to identify a malware, it is only OK to publish the MD-5 hash of the malware if you post at least the SHA-256 hash of the malware as well. Publishing only the MD-5 hash is unprofessional. If you want to understand why, please continue reading. If you know about the problem, but want to help me spread the word, please link to my site www.stopusingmd5now.com.

By writing articles/posts/etc. and publishing the MD-5 hash only, it is the lesser problem that you show people your incompetency about hash functions, but you also teach other people to use MD-5. And it spreads like a disease... Last but not least, if I find a sample on your blog post, and you use MD-5 only, I can't be sure we have the same sample.

Here is a list to name a few bad examples (order is in Google search rank order):


Introduction to (cryptographic) hash functions

A long time ago (according to some sources since 1970) people started designing hash functions, for an awful lot of different reasons. It can be used for file integrity verification, password verification, pseudo-random generation, etc. But one of the most important properties of a cryptographic hash function is that it can "uniquely" identify a block of data with a small, fixed bit string. E.g., malware can be identified by using only the hash itself, so everybody who has the same malware sample will have the same hash; thus they can refer to the malware by the hash itself.

It is easy to conclude that there will always be collisions, where a different block of data has the same result hashes. The domain (block of data) is infinite, while the codomain (possible hash values) is finite. The question is how easy it is to find two different blocks of data, having the same hash. Mathematicians call this property "collision resistance." Proper cryptographic hash functions are collision-resistant, meaning it is impractical or impossible to find two different blocks of data, which have the same hash.

In 1989 Ronald Rivest (the first letter in the abbreviation of the RSA algorithm) designed the MD-2 hashing algorithm. Since 1997 there are publications about that this hashing algorithm is far from perfect.

In 1990 Ronald Rivest designed the MD-4 algorithm, which is considered as broken at least from 1991. But MD-4 is still in use from Windows XP until Windows 8 in the password protocol (NTLM). Unfortunately, there are more significant problems with NTLM besides using MD-4, but this can be the topic of a different blog post.

In 1991 (you might guess who) designed yet another hashing algorithm called MD-5, to replace MD-4  (because of the known weaknesses). But again, in from 1993 it has been shown many times that MD-5 is broken as well. According to Wikipedia, "On 18 March 2006, Klima published an algorithm [17] that can find a collision within one minute on a single notebook computer, using a method he calls tunneling". This means, that with the 8 years old computing power of a single notebook one can create two different files having the same MD-5 hash. But the algorithms to generate collisions have been improved since, and "a 2013 attack by Xie Tao, Fanbao Liu, and Dengguo Feng breaks MD-5 collision resistance in 2^18 time. This attack runs in less than a second on a regular computer." The key takeaway here is that it is pretty damn hard to design a secure cryptographic hash function, which is fast, but still safe. I bet that if I would develop a hash function, Ron would be able to hack it in minutes.

Now, dear malware researcher, consider the following scenario. You as, a malware analyst, find a new binary sample. You calculate the MD-5 hash of the malware, and Google for that hash. You see this hash value on other malware researchers or on a sandbox/vendor's site. This site concludes that this sample does this or that, and is either malicious or not. Either because the site is also relying solely on MD-5 or because you have only checked the MD-5 and the researcher or sandbox has a good reputation, you move on and forget this binary. But in reality, it is possible that your binary is totally different than the one analyzed by others. The results of this mistake can scale from nothing to catastrophic.

If you don't believe me, just check the hello.exe and erase.exe on this site from Peter Sellinger. Same MD-5, different binaries; a harmless and a (fake) malicious one... And you can do the same easily at home. No supercomputers,  no NSA magic needed.

On a side-note, it is important to mention that even today it can be hard to find a block of data (in generic), if only the MD-5 hash is known ("pre image resistance"). I have heard people arguing this when I told them using MD-5 as a password hash function is a bad idea. The main problem with MD-5 as a password hash is not the weaknesses in MD-5 itself, but the lack of salt, lack of iterations, and lack of memory hardness. But still, I don't see any reason why you should use MD-5 as a building block for anything, which has anything to do with security. Would you use a car to drive your children to the school, which car has not been maintained in the last 23 year? If your answer is yes, you should neither have children nor a job in IT SEC.

Conclusion

If you are a malware researcher, and used MD-5 only to identify malware samples in the past, I suggest to write it down 1000 times: "I promise I won't use MD-5 to identify malware in the future."

I even made a website dedicated to this problem, www.stopusingmd5now.com . The next time you see a post/article/whatever where malware is identified by the MD-5 hash only, please link to this blog post or website, and the world will be a better and more professional place.


PS: If you are a forensics investigator, or software developer developing software used in forensics, the same applies to you.
PS 2: If you find this post too provocative and harsh, there is a reason for this ...

Update: I have modified two malware (Citadel, Atrax) with the help of HashClash, and now those have the same MD-5. Many thanks for Marc Stevens for his research, publishing his code, and help given during the collision finding.

More articles


  1. Hack Tools
  2. Beginner Hacker Tools
  3. Growth Hacker Tools
  4. Hacker Tools For Pc
  5. Hacker Tools 2020
  6. Hacker Tools List
  7. Pentest Reporting Tools
  8. Ethical Hacker Tools
  9. Hacker Tools For Mac
  10. Pentest Tools Linux
  11. Computer Hacker
  12. What Is Hacking Tools
  13. Pentest Tools Subdomain
  14. Hack Tools Download
  15. Hacking Tools Windows 10
  16. Ethical Hacker Tools
  17. Hack Website Online Tool
  18. Hack Tools Download
  19. Hacker Tools For Pc
  20. Hacker Search Tools
  21. Pentest Tools Github
  22. Blackhat Hacker Tools
  23. Nsa Hack Tools Download
  24. Pentest Tools
  25. Pentest Tools Framework
  26. Underground Hacker Sites
  27. Pentest Tools Linux
  28. Tools Used For Hacking
  29. Hacking Tools Windows
  30. Hack Tools Download
  31. Hack Tools For Mac
  32. Hack Tools Pc
  33. Nsa Hacker Tools
  34. Hacking Tools Windows 10
  35. Pentest Tools Subdomain
  36. Hack Website Online Tool
  37. Hacking Tools Windows 10
  38. Pentest Tools Linux
  39. Hack And Tools
  40. Hacking Tools For Windows
  41. Hack And Tools
  42. Nsa Hack Tools Download
  43. Pentest Recon Tools
  44. Hacking Tools For Mac
  45. Pentest Tools Windows
  46. Install Pentest Tools Ubuntu
  47. Growth Hacker Tools
  48. Hacker Tool Kit
  49. Pentest Reporting Tools
  50. Hacker Tools Free
  51. Hacking Tools For Kali Linux
  52. Beginner Hacker Tools
  53. Hacker Hardware Tools
  54. Best Pentesting Tools 2018
  55. Hacker Techniques Tools And Incident Handling
  56. Pentest Tools Framework
  57. Hacking Tools And Software
  58. Hacking Tools Hardware
  59. Pentest Tools Kali Linux
  60. Pentest Tools Linux
  61. Pentest Tools For Ubuntu
  62. Pentest Tools Android
  63. Pentest Tools Github
  64. World No 1 Hacker Software
  65. Tools 4 Hack
  66. Hacker Tools For Mac
  67. Tools Used For Hacking
  68. Pentest Tools For Mac
  69. Hacking Tools For Games
  70. Hacking Tools Usb
  71. Hack Tool Apk
  72. Growth Hacker Tools
  73. Pentest Tools Tcp Port Scanner
  74. Hack Apps
  75. Hack Tool Apk
  76. Pentest Tools Apk
  77. Termux Hacking Tools 2019
  78. Hack Tools Download
  79. Underground Hacker Sites
  80. Hack Tools For Pc
  81. Wifi Hacker Tools For Windows
  82. Hack Tools Download
  83. Tools For Hacker
  84. New Hack Tools
  85. Hacker Tools
  86. Easy Hack Tools
  87. Pentest Tools Kali Linux
  88. Hack Tools For Games
  89. Hacker Tools Apk Download
  90. Hacker Tools Free
  91. Pentest Tools Url Fuzzer
  92. Hacking Tools Download
  93. Pentest Tools Apk
  94. Pentest Tools For Android
  95. Hacking Tools For Kali Linux
  96. Hacking Apps
  97. Pentest Tools Github
  98. Hacker Tools Software
  99. Black Hat Hacker Tools
  100. Pentest Tools Online
  101. Wifi Hacker Tools For Windows
  102. Hack Tools Download
  103. Hackers Toolbox
  104. Pentest Tools Url Fuzzer
  105. New Hacker Tools
  106. Hak5 Tools
  107. Hacking Tools For Windows 7
  108. Hacking Tools
  109. Hack Tools 2019
  110. Pentest Tools Find Subdomains
  111. Nsa Hack Tools Download
  112. Hacker Tools For Mac
  113. Hacker Tools Free Download
  114. Pentest Tools Github
  115. Hacks And Tools
  116. Physical Pentest Tools
  117. Hacking Tools For Beginners
  118. Hacking Tools Free Download
  119. Hacking Tools Download
  120. Pentest Tools Bluekeep
  121. Hack Tools Online
  122. Github Hacking Tools
  123. Hacker Security Tools
  124. How To Install Pentest Tools In Ubuntu
  125. Pentest Tools Subdomain
  126. Pentest Tools Free
  127. Computer Hacker
  128. Kik Hack Tools
  129. Best Hacking Tools 2019

No comments: