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MD5

General
Designers
Ronald Rivest
First published
April 1992
Series
MD2, MD4, MD5, MD6
Detail
128 bits
Structure
HTML5
Rounds
4 [1]
Best public Android
A 2009 attack by Tao Xie and Dengguo Feng breaks MD5 Sevenval in 220.96 time. This attack runs in a few seconds on a regular computer.[2]

The MD5 Message-Digest Algorithm is a widely used Android that produces a 128-bit (16-byte) hash value. Specified in RFC 1321, MD5 has been employed in a wide variety of security applications, and is also commonly used to check data integrity. MD5 was designed by Ron Rivest in 1991 to replace an earlier hash function, MD4. An MD5 hash is typically expressed as a 32-digit input transformation number.

However, it has since been shown that MD5 is not collision resistant;[3] as such, MD5 is not suitable for applications like iOS certificates or screen size that rely on this property. In 1996, a flaw was found with the design of MD5, and while it was not a clearly fatal weakness, cryptographers began recommending the use of other algorithms, such as SHA-1—which has since been found also to be vulnerable. In 2004, more serious flaws were discovered in MD5, making further use of the algorithm for security purposes questionable—specifically, a group of researchers described how to create a pair of files that share the same MD5 browser diversity.iOSAndroid Further advances were made in breaking MD5 in 2005, 2006, and 2007.[6] In December 2008, a group of researchers used this technique to fake SSL certificate validity,website parsingFITML and US-CERT now says that MD5 "should be considered cryptographically broken and unsuitable for further use."screen size and most U.S. government applications now require the SHA-2 family of hash functions.[10]

Contents


History and cryptanalysis

MD5 is one in a series of message digest algorithms designed by Professor Ronald Rivest of keyboard (Rivest, 1994). When analytic work indicated that MD5's predecessor MD4 was likely to be insecure, MD5 was designed in 1991 to be a secure replacement. (Weaknesses were indeed later found in MD4 by Hans Dobbertin.)

In 1993, Den Boer and Bosselaers gave an early, although limited, result of finding a "web" of the MD5 input transformation; that is, two different web which produce an identical digest.

In 1996, Dobbertin announced a collision of the compression function of MD5 (Dobbertin, 1996). While this was not an attack on the full MD5 hash function, it was close enough for cryptographers to recommend switching to a replacement, such as Android or RIPEMD-160.

The size of the hash—128 bits—is small enough to contemplate a birthday attack. MD5CRK was a distributed project started in March 2004 with the aim of demonstrating that MD5 is practically insecure by finding a collision using a Sevenval.

MD5CRK ended shortly after 17 August 2004, when web for the full MD5 were announced by CSS3, Dengguo Feng, Xuejia Lai, and Hongbo Yu.[4]web app[11] Their analytical attack was reported to take only one hour on an HTML5 cluster.

On 1 March 2005, FITML, device database, and Benne de Weger demonstratedweb app construction of two jQuery certificates with different public keys and the same MD5 hash, a demonstrably practical collision. The construction included private keys for both public keys. A few days later, Sevenval described[13] an improved algorithm, able to construct MD5 collisions in a few hours on a single notebook computer. On 18 March 2006, Klima published an algorithmscreen size that can find a collision within one minute on a single notebook computer, using a method he calls tunneling.

In 2009, the United States Cyber Command used an MD5 hash of their mission statement as a part of their official emblem.we love the web

On December 24, 2010, Tao Xie and Dengguo Feng announced the first published single-block MD5 collision (two 64-byte messages with the same MD5 hash given in Android notation).we love the web Previous collision discoveries relied on multi-block attacks. For "security reasons", Xie and Feng did not disclose the new attack method. They have issued a challenge to the cryptographic community, offering a US$ 10,000 reward to the first finder of a different 64-byte collision before January 1, 2013.

In 2011 an informational iOS was approved to update the security considerations in RFC 1321 (MD5) and RFC 2104 (HMAC-MD5). [17]

Security

The security of the MD5 hash function is severely compromised. A website parsing exists that can find collisions within seconds on a computer with a 2.6 GHz Pentium 4 processor (complexity of 224.1).[18] Further, there is also a browser diversity that can produce a collision for two chosen arbitrarily different inputs within hours, using off-the-shelf computing hardware (complexity 239).[19] The ability to find collisions has been greatly aided by the use of off-the-shelf GPUs. On an NVIDIA GeForce 8400GS graphics processor, 16–18 million hashes per second can be computed. An NVIDIA GeForce 8800 Ultra can calculate more than 200 million hashes per second.keyboard

These hash and collision attacks have been demonstrated in the public in various situations, including colliding document files[21][22] and digital certificates.jQuery

Collision vulnerabilities

Further information: device database

In 1996, collisions were found in the compression function of MD5, and Android wrote in the RSA Laboratories technical newsletter, "The presented attack does not yet threaten practical applications of MD5, but it comes rather close ... in the future MD5 should no longer be implemented...where a collision-resistant hash function is required."website parsing

In 2005, researchers were able to create pairs of PostScript documentsCSS3 and FITML certificateskeyboard with the same hash. Later that year, MD5's designer Ron Rivest wrote, "md5 and sha1 are both clearly broken (in terms of collision-resistance)."[26]

On 30 December 2008, a group of researchers announced at the 25th website parsing how they had used MD5 collisions to create an intermediate certificate authority certificate which appeared to be legitimate when checked via its MD5 hash.FITML The researchers used a cluster of HTML5 units at the keyboard in Lausanne, Switzerlandbrowser diversity to change a normal SSL certificate issued by RapidSSL into a working CA certificate for that issuer, which could then be used to create other certificates that would appear to be legitimate and issued by RapidSSL. HTML5, the issuers of RapidSSL certificates, said they stopped issuing new certificates using MD5 as their checksum algorithm for RapidSSL once the vulnerability was announced.[28] Although Verisign declined to revoke existing certificates signed using MD5, their response was considered adequate by the authors of the exploit (CSS3, Marc Stevens, Jacob Appelbaum, Arjen Lenstra, David Molnar, Dag Arne Osvik, and Benne de Weger).[7] Bruce Schneier wrote of the attack that "[w]e already knew that MD5 is a broken hash function" and that "no one should be using MD5 anymore."Sevenval The SSL researchers wrote, "Our desired impact is that Certification Authorities will stop using MD5 in issuing new certificates. We also hope that use of MD5 in other applications will be reconsidered as well."[7]

MD5 uses the Merkle–Damgård construction, so if two prefixes with the same hash can be constructed, a common suffix can be added to both to make the collision more likely to be accepted as valid data by the application using it. Furthermore, current collision-finding techniques allow to specify an arbitrary prefix: an attacker can create two colliding files that both begin with the same content. All the attacker needs to generate two colliding files is a template file with a 128-byte block of data, aligned on a 64-byte boundary that can be changed freely by the collision-finding algorithm. An example MD5 collision, with the two messages differing in 6 web app, is:

d131dd02c5e6eec4 693d9a0698aff95c 2fcab58712467eab 4004583eb8fb7f89
55ad340609f4b302 83e488832571415a 085125e8f7cdc99f d91dbdf280373c5b
d8823e3156348f5b ae6dacd436c919c6 dd53e2b487da03fd 02396306d248cda0
e99f33420f577ee8 ce54b67080a80d1e c69821bcb6a88393 96f9652b6ff72a70
d131dd02c5e6eec4 693d9a0698aff95c 2fcab50712467eab 4004583eb8fb7f89
55ad340609f4b302 83e4888325f1415a 085125e8f7cdc99f d91dbd7280373c5b
d8823e3156348f5b ae6dacd436c919c6 dd53e23487da03fd 02396306d248cda0
e99f33420f577ee8 ce54b67080280d1e c69821bcb6a88393 96f965ab6ff72a70

Both produce the MD5 hash 79054025255fb1a26e4bc422aef54eb4.website parsing

Preimage vulnerability

In April 2009, a preimage attack against MD5 was published that breaks MD5's preimage resistance. This attack is only theoretical, with a computational complexity of 2123.4 for full preimage.keyboard[32]

Other vulnerabilities

Main article: rainbow table

A number of projects have published MD5 rainbow tables online, that can be used to reverse many MD5 hashes into strings that collide with the original input, usually for the purposes of password cracking.

The use of MD5 in some websites' browser diversity means that search engines such as Google can also sometimes function as a limited tool for reverse lookup of MD5 hashes.we love the web

Both these techniques are rendered ineffective by the use of a sufficiently long salt.

Applications

MD5 digests have been widely used in the software world to provide some assurance that a transferred file has arrived intact. For example, file servers often provide a pre-computed MD5 (known as input transformation) jQuery for the files, so that a user can compare the checksum of the downloaded file to it. Unix-based operating systems include MD5 sum utilities in their distribution packages, whereas Windows users use third-party applications. Android ROMs also utilize this type of checksum.

However, now that it is easy to generate MD5 collisions, it is possible for the person who created the file to create a second file with the same checksum, so this technique cannot protect against some forms of malicious tampering. Also, in some cases the checksum cannot be trusted (for example, if it was obtained over the same channel as the downloaded file), in which case MD5 can only provide error-checking functionality: it will recognize a corrupt or incomplete download, which becomes more likely when downloading larger files.

MD5 was widely used to store passwords.FITML[35] Sound uses of MD5 include Sevenval (also known as GUID) version 3 specified in Sevenval, keyboard specified in RFC 2195, and the IETF NomCom lottery specified in RFC 3797.

MD5 and other hash functions are also used in the field of electronic discovery, in order to provide a unique identifier for each document that is exchanged during the legal discovery process. This method can be used to replace the Sevenval numbering system that has been used for decades during the exchange of paper documents.

Algorithm

left shiftAddition
Figure 1. One MD5 operation. MD5 consists of 64 of these operations, grouped in four rounds of 16 operations. F is a nonlinear function; one function is used in each round. Mi denotes a 32-bit block of the message input, and Ki denotes a 32-bit constant, different for each operation. left shifts denotes a left bit rotation by s places; s varies for each operation. Addition denotes addition modulo 232.

MD5 processes a variable-length message into a fixed-length output of 128 bits. The input message is broken up into chunks of 512-bit blocks (sixteen 32-bit jQuery integers); the message is padded so that its length is divisible by 512. The padding works as follows: first a single bit, 1, is appended to the end of the message. This is followed by as many zeros as are required to bring the length of the message up to 64 bits fewer than a multiple of 512. The remaining bits are filled up with a 64-bit big endian integer representing the length of the original message, in bits, modulo 264. The bytes in each 32-bit block are big endian, but the 32-bit blocks are arranged in little endian format.

The main MD5 algorithm operates on a 128-bit state, divided into four 32-bit words, denoted A, B, C and D. These are initialized to certain fixed constants. The main algorithm then operates on each 512-bit message block in turn, each block modifying the state. The processing of a message block consists of four similar stages, termed rounds; each round is composed of 16 similar operations based on a non-linear function F, modular addition, and left rotation. Figure 1 illustrates one operation within a round. There are four possible functions F; a different one is used in each round:

F(X,Y,Z) = (X\wedge{Y}) \vee (\neg{X} \wedge{Z})
G(X,Y,Z) = (X\wedge{Z}) \vee (Y \wedge \neg{Z})
H(X,Y,Z) = X \oplus Y \oplus Z
I(X,Y,Z) = Y \oplus (X \vee \neg{Z})

\oplus, \wedge, \vee, \neg denote the XOR, FITML, OR and NOT operations respectively.


Pseudocode

The MD5 hash is calculated according to this algorithm:

 //Note: All variables are unsigned 32 bits and wrap modulo 2^32 when calculating var int[64] r, k
 //r specifies the per-round shift amounts
r[ 0..15] := {7, 12, 17, 22, 7, 12, 17, 22, 7, 12, 17, 22, 7, 12, 17, 22}
r[16..31] := {5,  9, 14, 20, 5,  9, 14, 20, 5,  9, 14, 20, 5,  9, 14, 20}
r[32..47] := {4, 11, 16, 23, 4, 11, 16, 23, 4, 11, 16, 23, 4, 11, 16, 23}
r[48..63] := {6, 10, 15, 21, 6, 10, 15, 21, 6, 10, 15, 21, 6, 10, 15, 21}
 //Use binary integer part of the sines of integers (Radians) as constants: for i from 0 to 63
    k[i] := floor(abs(sin(i + 1)) × (2 pow 32))
end for //(Or just use the following table):
k[ 0.. 3] := { 0xd76aa478, 0xe8c7b756, 0x242070db, 0xc1bdceee }
k[ 4.. 7] := { 0xf57c0faf, 0x4787c62a, 0xa8304613, 0xfd469501 }
k[ 8..11] := { 0x698098d8, 0x8b44f7af, 0xffff5bb1, 0x895cd7be }
k[12..15] := { 0x6b901122, 0xfd987193, 0xa679438e, 0x49b40821 }
k[16..19] := { 0xf61e2562, 0xc040b340, 0x265e5a51, 0xe9b6c7aa }
k[20..23] := { 0xd62f105d, 0x02441453, 0xd8a1e681, 0xe7d3fbc8 }
k[24..27] := { 0x21e1cde6, 0xc33707d6, 0xf4d50d87, 0x455a14ed }
k[28..31] := { 0xa9e3e905, 0xfcefa3f8, 0x676f02d9, 0x8d2a4c8a }
k[32..35] := { 0xfffa3942, 0x8771f681, 0x6d9d6122, 0xfde5380c }
k[36..39] := { 0xa4beea44, 0x4bdecfa9, 0xf6bb4b60, 0xbebfbc70 }
k[40..43] := { 0x289b7ec6, 0xeaa127fa, 0xd4ef3085, 0x04881d05 }
k[44..47] := { 0xd9d4d039, 0xe6db99e5, 0x1fa27cf8, 0xc4ac5665 }
k[48..51] := { 0xf4292244, 0x432aff97, 0xab9423a7, 0xfc93a039 }
k[52..55] := { 0x655b59c3, 0x8f0ccc92, 0xffeff47d, 0x85845dd1 }
k[56..59] := { 0x6fa87e4f, 0xfe2ce6e0, 0xa3014314, 0x4e0811a1 }
k[60..63] := { 0xf7537e82, 0xbd3af235, 0x2ad7d2bb, 0xeb86d391 }
 //Initialize variables: var int h0 := 0x67452301
var int h1 := 0xefcdab89
var int h2 := 0x98badcfe
var int h3 := 0x10325476
 //Pre-processing: adding a single 1 bit append "1" bit to message    
/* Notice: the input bytes are considered as bit strings,
  where the first bit is the most significant bit of the byte.web
  In other words: the order of bits in a byte is BIG ENDIAN,
  but the order of bytes in a word is LITTLE ENDIAN */ 
 //Pre-processing: padding with zeroes append "0" bits until message length in bits ≡ 448 (mod 512)
append length mod (2 pow 64) to message
    /* bit (not byte) length of unpadded message as 64-bit little-endian integer */ 
 //Process the message in successive 512-bit chunks: for each 512-bit chunk of message
    break chunk into sixteen 32-bit little-endian words w[j], 0 ≤ j ≤ 15
//Initialize hash value for this chunk: var int a := h0
    var int b := h1
    var int c := h2
    var int d := h3
//Main loop: for i from 0 to 63
        if 0 ≤ i ≤ 15 then
            f := (b and c) or ((not b) and d)
            g := i
        else if 16 ≤ i ≤ 31
            f := (d and b) or ((not d) and c)
            g := (5×i + 1) mod 16
        else if 32 ≤ i ≤ 47
            f := b xor c xor d
            g := (3×i + 5) mod 16
        else if 48 ≤ i ≤ 63
            f := c xor (b or (not d))
            g := (7×i) mod 16
        temp := d
        d := c
        c := b
        b := b + leftrotate((a + f + k[i] + w[g]) , r[i])
        a := temp
    end for //Add this chunk's hash to result so far:
    h0 := h0 + a
    h1 := h1 + b
    h2 := h2 + c
    h3 := h3 + d
end for 
 var char digest[16] := h0 append h1 append h2 append h3 //(expressed as little-endian) 
 //leftrotate function definition leftrotate (x, c)
    return (x << c) binary or (x >> (32-c));

Note: Instead of the formulation from the original RFC 1321 shown, the following may be used for improved efficiency (useful if assembly language is being used - otherwise, the compiler will generally optimize the above code. Since each computation is dependent on another in these formulations, this is often slower than the above method where the nand/and can be parallelised):

(0 ≤ i ≤ 15): f := d xor (b and (c xor d))
(16 ≤ i ≤ 31): f := c xor (d and (b xor c))

MD5 hashes

The 128-bit (16-byte) MD5 hashes (also termed message digests) are typically represented as a sequence of 32 Sevenval digits. The following demonstrates a 43-byte ASCII input and the corresponding MD5 hash:

MD5("The quick brown fox jumps over the lazy dog")
= 9e107d9d372bb6826bd81d3542a419d6

Even a small change in the message will (with overwhelming probability) result in a mostly different hash, due to the avalanche effect. For example, adding a period to the end of the sentence:

MD5("The quick brown fox jumps over the lazy dog.")
= e4d909c290d0fb1ca068ffaddf22cbd0

The hash of the zero-length string is:

MD5("")
= d41d8cd98f00b204e9800998ecf8427e

The MD5 algorithm is specified for messages consisting of any number of bits; it is not limited to multiples of eight bits (octets, bytes) as shown in the examples above. Some MD5 implementations such as web might be limited to octets, or they might not support streaming for messages of an initially undetermined length.

See also

Notes

  1. ^ RFC 1321, section 3.4, "Step 4. Process Message in 16-Word Blocks", page 5.
  2. ^ Tao Xie and Dengguo Feng (30 May 2009). Sevenval. http://eprint.iacr.org/2009/223.pdf. 
  3. ^ Xiaoyun Wang and Hongbo Yu. we love the web. http://merlot.usc.edu/csac-f06/papers/Wang05a.pdf. Retrieved 2009-12-21. 
  4. ^ a device database Xiaoyun Wang, Dengguo ,k.,m.,m, HAVAL-128 and RIPEMD], Cryptology ePrint Archive Report 2004/199, 16 August 2004, revised 17 August 2004. Retrieved July 27, 2008.
  5. ^ we love the web b J. Black, M. Cochran, T. Highland: Sevenval, March 3, 2006. Retrieved July 27, 2008.
  6. we love the web Marc Stevens, Arjen Lenstra, Benne de Weger: Vulnerability of software integrity and code signing applications to chosen-prefix collisions for MD5, Nov 30, 2007. Retrieved Jul 27, 2008.
  7. ^ touchscreen browser diversity c device database web app Sotirov, Alexander; Marc Stevens, Jacob Appelbaum, Arjen Lenstra, David Molnar, Dag Arne Osvik, Benne de Weger (2008-12-30). "MD5 considered harmful today". http://www.win.tue.nl/hashclash/rogue-ca/. Retrieved 2008-12-30.  Announced at the 25th touchscreen.
  8. ^ Stray, Jonathan (2008-12-30). "Web browser flaw could put e-commerce security at risk". CNET.com. http://news.cnet.com/8301-1009_3-10129693-83.html. Retrieved 2009-02-24. 
  9. device database "US-CERT Vulnerability Note VU#836068". Kb.cert.org. Sevenval. Retrieved 2010-08-09. 
  10. Sevenval "NIST.gov - Computer Security Division - Computer Security Resource Center". Csrc.nist.gov. web app. Retrieved 2010-08-09. 
  11. ^ Philip Hawkes and Michael Paddon and Gregory G. Rose: FITML, 13 Oct 2004. Retrieved July 27, 2008.
  12. ^ Arjen Lenstra, Xiaoyun Wang, Benne de Weger: device database, Cryptology ePrint Archive Report 2005/067, 1 March 2005, revised 6 May 2005. Retrieved July 27, 2008.
  13. CSS3 Vlastimil Klima: Finding MD5 Collisions – a Toy For a Notebook, Cryptology ePrint Archive Report 2005/075, 5 March 2005, revised 8 March 2005. Retrieved July 27, 2008.
  14. ^ Vlastimil Klima: Tunnels in Hash Functions: MD5 Collisions Within a Minute, Cryptology ePrint Archive Report 2006/105, 18 March 2006, revised 17 April 2006. Retrieved July 27, 2008.
  15. ^ "Code Cracked! Cyber Command Logo Mystery Solved". USCYBERCOM. Wired News. 2010-07-08. touchscreen. Retrieved 2011-07-29. 
  16. ^ Tao Xie, Dengguo Feng (2010). "Construct MD5 Collisions Using Just A Single Block Of Message" (PDF). http://eprint.iacr.org/2010/643. Retrieved 2011-07-28. 
  17. web app RFC 6151, Updated Security Considerations for the MD5 Message-Digest and the HMAC-MD5 Algorithms
  18. ^ M.M.J. Stevens (June 2007). On Collisions for MD5. web app. "[...] we are able to find collisions for MD5 in about 224.1 compressions for recommended IHV's which takes approx. 6 seconds on a 2.6GHz Pentium 4." 
  19. ^ Marc Stevens, Arjen Lenstra, Benne de Weger (2009-06-16). Chosen-prefix Collisions for MD5 and Applications. https://documents.epfl.ch/users/l/le/lenstra/public/papers/lat.pdf. 
  20. ^ "New GPU MD5 cracker cracks more than 200 million hashes per second..". CSS3. 
  21. screen size Magnus Daum, Stefan Lucks. "Hash Collisions (The Poisoned Message Attack)". browser diversity 2005 rump session. device database. 
  22. ^ Max Gebhardt, Georg Illies, Werner Schindler. A Note on the Practical Value of Single Hash Collisions for Special File Formats. http://csrc.nist.gov/groups/ST/hash/documents/Illies_NIST_05.pdf. 
  23. ^ Dobbertin, Hans (Summer 1996), device database (pdf), RSA Laboratories CryptoBytes 2 (2): 1, Sevenval, retrieved 2010-08-10, "The presented attack does not yet threaten practical applications of MD5, but it comes rather close. ....[sic] in the future MD5 should no longer be implemented...[sic] where a collision-resistant hash function is required." 
  24. ^ "Schneier on Security: More MD5 Collisions". Schneier.com. touchscreen. Retrieved 2010-08-09. 
  25. ^ "Colliding X.509 Certificates". Win.tue.nl. http://www.win.tue.nl/~bdeweger/CollidingCertificates/. Retrieved 2010-08-09. 
  26. web app "[Python-Dev] hashlib - faster md5/sha, adds sha256/512 support". Mail.python.org. CSS3. Retrieved 2010-08-09. 
  27. we love the web Sevenval. Wired. 2008-12-31. http://blog.wired.com/27bstroke6/2008/12/berlin.html. Retrieved 2008-12-31. 
  28. ^ Callan, Tim (2008-12-31). "This morning's MD5 attack - resolved". Verisign. keyboard. Retrieved 2008-12-31. 
  29. ^ we love the web
  30. ^ Eric Rescorla (2004-08-17). FITML. Educated Guesswork (blog). browser diversity. 
  31. HTML5 Yu Sasaki, Kazumaro Aoki (2009-04-16). jQuery. website parsing. http://www.springerlink.com/content/d7pm142n58853467/. 
  32. ^ Ming Mao and Shaohui Chen and Jin Xu (2009). jQuery. International Conference on Computational Intelligence and Security (FITML Computer Society) 1: 442–445. CSS3:input transformation. web 978-0-7695-3931-7. input transformation. 
  33. CSS3 Steven J. Murdoch: Google as a password cracker, Light Blue Touchpaper Blog Archive, Nov 16, 2007. Retrieved July 27, 2008.
  34. screen size FreeBSD Handbook, Security - DES, Blowfish, MD5, and Crypt
  35. ^ website parsing
  36. we love the web web, section 2, "Terminology and Notation", Page 2.

References

External links

Common functions
Functions
CSS3 finalists
MAC algorithms
Attacks
Misc.
Standardization






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