How I Used Crack Easy Word Recovery 2.0 to Recover My Important Documents

Dan Farmer identified a serious failing of the IPMI 2.0 specification, namely that cipher type 0, an indicator that the client wants to use clear-text authentication, actually allows access with any password. Cipher 0 issues were identified in HP, Dell, and Supermicro BMCs, with the issue likely encompassing all IPMI 2.0 implementations. It is easy to identify systems that have cipher 0 enabled using the ipmi_cipher_zero module in the Metasploit Framework.

More recently, Dan Farmer identified an even bigger issue with the IPMI 2.0 specification. In short, the authentication process for IPMI 2.0 mandates that the server send a salted SHA1 or MD5 hash of the requested user's password to the client, prior to the client authenticating. You heard that right - the BMC will tell you the password hash for any valid user account you request. This password hash can broken using an offline bruteforce or dictionary attack. Since this issue is a key part of the IPMI specification, there is no easy path to fix the problem, short of isolating all BMCs into a separate network. The ipmi_dumphashes module in the Metasploit Framework can make short work of most BMCs.

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In the example above, the module was able to identify two valid user accounts (root and blank), retrieve the hmac-sha1 password hashes for these accounts, and automatically crack them using an internal wordlist. If a database is connected, Metasploit will automatically store the hashed and clear-text version of these credentials for future use. If a user's password is not found in the local dictionary of common passwords, an external password cracking program can be employed to quickly brute force possible options. The example below demonstrates how to write out John the Ripper and Hashcat compatible files.

Thanks to atom, the main developer of Hashcat, version 0.46 or above now supports cracking RAKP hashes. It is worth noting that atom added support for RAKP within 2 hours of receiving the feature request! In the example below, we use hashcat with RAKP mode (7300) to brute force all four-character passwords within a few seconds.

The IPMI 2.0 specification mandates that the BMC respond to HMAC-based authentication methods such as SHA1 and MD5. This authentication process has some serious weaknesses, as demonstrated in previous examples, but also requires access to the clear-text password in order to calculate the authentication hash. This means that the BMC must store a clear-text version of all configured user passwords somewhere in non-volatile storage. In the case of Supermicro, this location changes between firmware versions, but is either /nv/PSBlock or /nv/PSStore. The passwords are scattered between various binary blobs, but easy to pick out as they always follow the username. This is a serious issue for any organization that uses shared passwords between BMCs or even different types of devices.

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In cryptanalysis and computer security, password cracking is the process of recovering passwords[1] from data that has been stored in or transmitted by a computer system in scrambled form. A common approach (brute-force attack) is to repeatedly try guesses for the password and to check them against an available cryptographic hash of the password.[2] Another type of approach is password spraying, which is often automated and occurs slowly over time in order to remain undetected, using a list of common passwords.[3]

The purpose of password cracking might be to help a user recover a forgotten password (due to the fact that installing an entirely new password would involve System Administration privileges), to gain unauthorized access to a system, or to act as a preventive measure whereby system administrators check for easily crackable passwords. On a file-by-file basis, password cracking is utilized to gain access to digital evidence to which a judge has allowed access, when a particular file's permissions restricted.

The time to crack a password is related to bit strength .mw-parser-output div.crossreferencepadding-left:0.mw-parser-output .hatnotefont-style:italic.mw-parser-output div.hatnotepadding-left:1.6em;margin-bottom:0.5em.mw-parser-output .hatnote ifont-style:normal.mw-parser-output .hatnote+link+.hatnotemargin-top:-0.5em(see Password cracking), which is a measure of the password's entropy, and the details of how the password is stored. Most methods of password cracking require the computer to produce many candidate passwords, each of which is checked. One example is brute-force cracking, in which a computer tries every possible key or password until it succeeds. With multiple processors, this time can be optimized through searching from the last possible group of symbols and the beginning at the same time, with other processors being placed to search through a designated selection of possible passwords.[4] More common methods of password cracking, such as dictionary attacks, pattern checking, word list substitution, etc. attempt to reduce the number of trials required and will usually be attempted before brute force. Higher password bit strength exponentially increases the number of candidate passwords that must be checked, on average, to recover the password and reduces the likelihood that the password will be found in any cracking dictionary.[5]

The ability to crack passwords using computer programs is also a function of the number of possible passwords per second which can be checked. If a hash of the target password is available to the attacker, this number can be in the billions or trillions per second, since an offline attack is possible. If not, the rate depends on whether the authentication software limits how often a password can be tried, either by time delays, CAPTCHAs, or forced lockouts after some number of failed attempts. Another situation where quick guessing is possible is when the password is used to form a cryptographic key. In such cases, an attacker can quickly check to see if a guessed password successfully decodes encrypted data.

For some kinds of password hash, ordinary desktop computers can test over a hundred million passwords per second using password cracking tools running on a general purpose CPU and billions of passwords per second using GPU-based password cracking tools[1][6][7] (see John the Ripper benchmarks).[8] The rate of password guessing depends heavily on the cryptographic function used by the system to generate password hashes. A suitable password hashing function, such as bcrypt, is many orders of magnitude better than a naive function like simple MD5 or SHA. A user-selected eight-character password with numbers, mixed case, and symbols, with commonly selected passwords and other dictionary matches filtered out, reaches an estimated 30-bit strength, according to NIST. 230 is only one billion permutations[9] and would be cracked in seconds if the hashing function were naive. When ordinary desktop computers are combined in a cracking effort, as can be done with botnets, the capabilities of password cracking are considerably extended. In 2002, distributed.net successfully found a 64-bit RC5 key in four years, in an effort which included over 300,000 different computers at various times, and which generated an average of over 12 billion keys per second.[10]

Graphics processing units can speed up password cracking by a factor of 50 to 100 over general purpose computers for specific hashing algorithms. As of 2011, available commercial products claim the ability to test up to 2,800,000,000 passwords a second on a standard desktop computer using a high-end graphics processor.[11] Such a device can crack a 10-letter single-case password in one day. The work can be distributed over many computers for an additional speedup proportional to the number of available computers with comparable GPUs. However some algorithms run slowly, or even are specifically designed to run slowly, on GPUs. Examples are DES, Triple DES, bcrypt, scrypt, and Argon2.

The emergence over the past decade[when?] of hardware acceleration in a GPU has enabled resources to be used to increase the efficiency and speed of a brute force attack for most hashing algorithms. In 2012, Stricture Consulting Group unveiled a 25-GPU cluster that achieved a brute force attack speed of 350 billion guesses per second, allowing them to check 95 8 \textstyle 95^8 password combinations in 5.5 hours. Using ocl-Hashcat Plus on a Virtual OpenCL cluster platform,[12] the Linux-based GPU cluster was used to "crack 90 percent of the 6.5 million password hashes belonging to users of LinkedIn."[13] 2ff7e9595c