Design and Analysis of Password-Based Authentication Systems
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GPU-Based Password Cracking on the Security of Password Hashing Schemes Regarding Advances in Graphics Processing Units
Radboud University Nijmegen Faculty of Science Kerckhoffs Institute Master of Science Thesis GPU-based Password Cracking On the Security of Password Hashing Schemes regarding Advances in Graphics Processing Units by Martijn Sprengers [email protected] Supervisors: Dr. L. Batina (Radboud University Nijmegen) Ir. S. Hegt (KPMG IT Advisory) Ir. P. Ceelen (KPMG IT Advisory) Thesis number: 646 Final Version Abstract Since users rely on passwords to authenticate themselves to computer systems, ad- versaries attempt to recover those passwords. To prevent such a recovery, various password hashing schemes can be used to store passwords securely. However, recent advances in the graphics processing unit (GPU) hardware challenge the way we have to look at secure password storage. GPU's have proven to be suitable for crypto- graphic operations and provide a significant speedup in performance compared to traditional central processing units (CPU's). This research focuses on the security requirements and properties of prevalent pass- word hashing schemes. Moreover, we present a proof of concept that launches an exhaustive search attack on the MD5-crypt password hashing scheme using modern GPU's. We show that it is possible to achieve a performance of 880 000 hashes per second, using different optimization techniques. Therefore our implementation, executed on a typical GPU, is more than 30 times faster than equally priced CPU hardware. With this performance increase, `complex' passwords with a length of 8 characters are now becoming feasible to crack. In addition, we show that between 50% and 80% of the passwords in a leaked database could be recovered within 2 months of computation time on one Nvidia GeForce 295 GTX. -
Computationally Data-Independent Memory Hard Functions
Computationally Data-Independent Memory Hard Functions Mohammad Hassan Ameri∗ Jeremiah Blocki† Samson Zhou‡ November 18, 2019 Abstract Memory hard functions (MHFs) are an important cryptographic primitive that are used to design egalitarian proofs of work and in the construction of moderately expensive key-derivation functions resistant to brute-force attacks. Broadly speaking, MHFs can be divided into two categories: data-dependent memory hard functions (dMHFs) and data-independent memory hard functions (iMHFs). iMHFs are resistant to certain side-channel attacks as the memory access pattern induced by the honest evaluation algorithm is independent of the potentially sensitive input e.g., password. While dMHFs are potentially vulnerable to side-channel attacks (the induced memory access pattern might leak useful information to a brute-force attacker), they can achieve higher cumulative memory complexity (CMC) in comparison than an iMHF. In particular, any iMHF that can be evaluated in N steps on a sequential machine has CMC at 2 most N log log N . By contrast, the dMHF scrypt achieves maximal CMC Ω(N 2) — though O log N the CMC of scrypt would be reduced to just (N) after a side-channel attack. In this paper, we introduce the notion ofO computationally data-independent memory hard functions (ciMHFs). Intuitively, we require that memory access pattern induced by the (ran- domized) ciMHF evaluation algorithm appears to be independent from the standpoint of a computationally bounded eavesdropping attacker — even if the attacker selects the initial in- put. We then ask whether it is possible to circumvent known upper bound for iMHFs and build a ciMHF with CMC Ω(N 2). -
Argon and Argon2
Argon and Argon2 Designers: Alex Biryukov, Daniel Dinu, and Dmitry Khovratovich University of Luxembourg, Luxembourg [email protected], [email protected], [email protected] https://www.cryptolux.org/index.php/Password https://github.com/khovratovich/Argon https://github.com/khovratovich/Argon2 Version 1.1 of Argon Version 1.0 of Argon2 31th January, 2015 Contents 1 Introduction 3 2 Argon 5 2.1 Specification . 5 2.1.1 Input . 5 2.1.2 SubGroups . 6 2.1.3 ShuffleSlices . 7 2.2 Recommended parameters . 8 2.3 Security claims . 8 2.4 Features . 9 2.4.1 Main features . 9 2.4.2 Server relief . 10 2.4.3 Client-independent update . 10 2.4.4 Possible future extensions . 10 2.5 Security analysis . 10 2.5.1 Avalanche properties . 10 2.5.2 Invariants . 11 2.5.3 Collision and preimage attacks . 11 2.5.4 Tradeoff attacks . 11 2.6 Design rationale . 14 2.6.1 SubGroups . 14 2.6.2 ShuffleSlices . 16 2.6.3 Permutation ...................................... 16 2.6.4 No weakness,F no patents . 16 2.7 Tweaks . 17 2.8 Efficiency analysis . 17 2.8.1 Modern x86/x64 architecture . 17 2.8.2 Older CPU . 17 2.8.3 Other architectures . 17 3 Argon2 19 3.1 Specification . 19 3.1.1 Inputs . 19 3.1.2 Operation . 20 3.1.3 Indexing . 20 3.1.4 Compression function G ................................. 21 3.2 Features . 22 3.2.1 Available features . 22 3.2.2 Server relief . 23 3.2.3 Client-independent update . -
Second Preimage Attacks on Dithered Hash Functions
Second Preimage Attacks on Dithered Hash Functions Elena Andreeva1, Charles Bouillaguet2, Pierre-Alain Fouque2, Jonathan J. Hoch3, John Kelsey4, Adi Shamir2,3, and Sebastien Zimmer2 1 SCD-COSIC, Dept. of Electrical Engineering, Katholieke Universiteit Leuven, [email protected] 2 École normale supérieure (Département d’Informatique), CNRS, INRIA, {Charles.Bouillaguet,Pierre-Alain.Fouque,Sebastien.Zimmer}@ens.fr 3 Weizmann Institute of Science, {Adi.Shamir,Yaakov.Hoch}@weizmann.ac.il 4 National Institute of Standards and Technology, [email protected] Abstract. We develop a new generic long-message second preimage at- tack, based on combining the techniques in the second preimage attacks of Dean [8] and Kelsey and Schneier [16] with the herding attack of Kelsey and Kohno [15]. We show that these generic attacks apply to hash func- tions using the Merkle-Damgård construction with only slightly more work than the previously known attack, but allow enormously more con- trol of the contents of the second preimage found. Additionally, we show that our new attack applies to several hash function constructions which are not vulnerable to the previously known attack, including the dithered hash proposal of Rivest [25], Shoup’s UOWHF[26] and the ROX hash construction [2]. We analyze the properties of the dithering sequence used in [25], and develop a time-memory tradeoff which allows us to apply our second preimage attack to a wide range of dithering sequences, including sequences which are much stronger than those in Rivest’s proposals. Fi- nally, we show that both the existing second preimage attacks [8, 16] and our new attack can be applied even more efficiently to multiple target messages; in general, given a set of many target messages with a total of 2R message blocks, these second preimage attacks can find a second preimage for one of those target messages with no more work than would be necessary to find a second preimage for a single target message of 2R message blocks. -
Hacking the Web
Hacking the Web (C) 2009-2020 Arun Viswanathan Ellis Horowitz Marco Papa 1 Table of Contents } General Introduction } Authentication Attacks } Client-Side Attacks } Injection Attacks } Recent Attacks } Privacy Tools 2 (C) 2009-2020 Arun Viswanathan Ellis Horowitz Marco Papa Why secure the Web? } The Web has evolved into an ubiquitous entity providing a rich and common platform for connecting people and doing business. } BUT, the Web also offers a cheap, effective, convenient and anonymous platform for crime. } To get an idea, the Web has been used for the following types of criminal activities (source: The Web Hacking Incidents Database (WHID) http://projects.webappsec.org/w/page/13246995/Web-Hacking-Incident-Database) } Chaos (Attack on Russian nuclear power websites amid accident rumors (5Jan09) } Deceit (SAMY XSS Worm – Nov 2005) } Extortion (David Aireys domain hijacked due to a CSRF (cross site request forgery) flaw in Gmail – 30Dec2007) } Identity Theft (XSS on Yahoo! Hot jobs – Oct 2008) } Information Warfare (Israeli Gaza War - Jan 2009 / Balkan Wars – Apr 2008 ) } Monetary Loss (eBay fraud using XSS) } Physical Pain (Hackers post on epilepsy forum causes migraines and seizures – May 2008) } Political Defacements (Hacker changes news release on Sheriffs website – Jul 2008) (Obama, Oreilly and Britneys Twitter accounts hacked and malicious comments posted – Jan 09) } Chinese Gaming sites hacked (Dec. 2011) 3 Copyright(C) 2009 (c) -20092020- 2019Arun Arun Viswanathan Viswanathan Ellis HorowitzEllis Horowitz Marco Marco Papa Papa -
PHC: Status Quo
PHC: status quo JP Aumasson @veorq / http://aumasson.jp academic background principal cryptographer at Kudelski Security, .ch applied crypto research and outreach BLAKE, BLAKE2, SipHash, NORX Crypto Coding Standard Password Hashing Competition Open Crypto Audit Project board member do you use passwords? this talk might interest you! Oct 2013 "hash" = 3DES-ECB( static key, password ) users' hint made the guess game easy... (credit Jeremi Gosney / Stricture Group) May 2014; "encrypted passwords" (?) last week that's only the reported/published cases Lesson if Adobe, eBay, and Avast fail to protect their users' passwords, what about others? users using "weak passwords"? ITsec people using "weak defenses"? developers using "weak hashes"? cryptographers, who never bothered? agenda 1. how (not) to protect passwords 2. the Password Hashing Competition (PHC) 3. the 24-2 PHC candidates 4. next steps, and how to contribute WARNING this is NOT about bikeshed topics as: password policies password managers password-strength meters will-technology-X-replace-passwords? 1. how (not) to protect passwords solution of the 60's store "password" or the modern alternative: obviously a bad idea (assuming the server and its DB are compromised) solution of the early 70's store hash("password") "one-way": can't be efficiently inverted vulnerable to: ● efficient dictionary attacks and bruteforce ● time-memory tradeoffs (rainbow tables, etc.) solution of the late 70's store hash("password", salt) "one-way": can't be efficiently inverted immune to time-memory tradeoffs vulnerable to: ● dictionary attacks and bruteforce (but has to be repeated for different hashes) solution of the 2000's store hash("password", salt, cost) "one-way": can't be efficiently inverted immune to time-memory tradeoffs inefficient dictionary attacks and bruteforce main ideas: ● be "slow" ● especially on attackers' hardware (GPU, FPGA) => exploit fast CPU memory access/writes PBKDF2 (Kaliski, 2000) NIST and PKCS standard in Truecrypt, iOS, etc. -
Securing Information in a Mobile World
Securing Information in a Mobile World Thu, Jan 21 | 2:00 p.m. – 3:30 p.m. PRESENTED BY: Charlie LeBlanc, William Figures, and Blad Slavens Schedulers & Dispatchers Conference | Tampa, FL | January 19 – 22, 2016 A Brief History of Computing and Software for Schedulers and Dispatchers Systems in the 80’s and early 90’s were computer- centric and pretty secure…. Why ????? And then came the Internet !!!! Highly technical description of the Internet “The Internet is a data network that connects “everything” together” (kind of like the phone system !) - William Figures 2007 The ‘Net(work) as a computing platform- Using WEB Services WEB SERVICES=FARS Is it safe to use public Wi-Fi? 6 Security challenges when using public Wi-Fi Some things to know about public Wi-Fi hotspots • Unlike your home Wi-Fi access point, most public Wi-Fi hotspots at hotels, restaurants, coffee shops, airports, etc. do not use encrypted communication. • This means that all your data may be sent in clear-text across the wireless network. Anyone with a “sniffer” could then snoop on your connection. • In order to secure their Wi-Fi properly, a business owner would have to issue a password to connect to the hotspot. To be truly secure, this password would be unique to a single person. • Since this isn’t feasible, you need to take other precautions to secure your data when using a public hotspot. Sources: http://www.networkworld.com/article/2904439/wi-fi/is-it-safe-to-use-public-wi-fi-networks.html 7 Case Study: Firesheep browser extension Coder exposed risk to Facebook users at public hotspots • To call attention to glaring security vulnerabilities with both Facebook – and other sites – and public Wi-Fi, a “white hat” hacker developed a Firefox extension that allowed a user to hijack the Facebook account of anyone logged into the same Wi-Fi hotspot. -
Modern Password Security for System Designers What to Consider When Building a Password-Based Authentication System
Modern password security for system designers What to consider when building a password-based authentication system By Ian Maddox and Kyle Moschetto, Google Cloud Solutions Architects This whitepaper describes and models modern password guidance and recommendations for the designers and engineers who create secure online applications. A related whitepaper, Password security for users, offers guidance for end users. This whitepaper covers the wide range of options to consider when building a password-based authentication system. It also establishes a set of user-focused recommendations for password policies and storage, including the balance of password strength and usability. The technology world has been trying to improve on the password since the early days of computing. Shared-knowledge authentication is problematic because information can fall into the wrong hands or be forgotten. The problem is magnified by systems that don't support real-world secure use cases and by the frequent decision of users to take shortcuts. According to a 2019 Yubico/Ponemon study, 69 percent of respondents admit to sharing passwords with their colleagues to access accounts. More than half of respondents (51 percent) reuse an average of five passwords across their business and personal accounts. Furthermore, two-factor authentication is not widely used, even though it adds protection beyond a username and password. Of the respondents, 67 percent don’t use any form of two-factor authentication in their personal life, and 55 percent don’t use it at work. Password systems often allow, or even encourage, users to use insecure passwords. Systems that allow only single-factor credentials and that implement ineffective security policies add to the problem. -
A Full Key Recovery Attack on HMAC-AURORA-512
A Full Key Recovery Attack on HMAC-AURORA-512 Yu Sasaki NTT Information Sharing Platform Laboratories, NTT Corporation 3-9-11 Midori-cho, Musashino-shi, Tokyo, 180-8585 Japan [email protected] Abstract. In this note, we present a full key recovery attack on HMAC- AURORA-512 when 512-bit secret keys are used and the MAC length is 512-bit long. Our attack requires 2257 queries and the off-line com- plexity is 2259 AURORA-512 operations, which is significantly less than the complexity of the exhaustive search for a 512-bit key. The attack can be carried out with a negligible amount of memory. Our attack can also recover the inner-key of HMAC-AURORA-384 with almost the same complexity as in HMAC-AURORA-512. This attack does not recover the outer-key of HMAC-AURORA-384, but universal forgery is possible by combining the inner-key recovery and 2nd-preimage attacks. Our attack exploits some weaknesses in the mode of operation. keywords: AURORA, DMMD, HMAC, Key recovery attack 1 Description 1.1 Mode of operation for AURORA-512 We briefly describe the specification of AURORA-512. Please refer to Ref. [2] for details. An input message is padded to be a multiple of 512 bits by the standard MD message padding, then, the padded message is divided into 512-bit message blocks (M0;M1;:::;MN¡1). 256 512 256 In AURORA-512, compression functions Fk : f0; 1g £f0; 1g ! f0; 1g 256 512 256 512 and Gk : f0; 1g £ f0; 1g ! f0; 1g , two functions MF : f0; 1g ! f0; 1g512 and MFF : f0; 1g512 ! f0; 1g512, and two initial 256-bit chaining U D 1 values H0 and H0 are defined . -
Security + Encryption Standards
Security + Encryption Standards Author: Joseph Lee Email: joseph@ ripplesoftware.ca Mobile: 778-725-3206 General Concepts Forward secrecy / perfect forward secrecy • Using a key exchange to provide a new key for each session provides improved forward secrecy because if keys are found out by an attacker, past data cannot be compromised with the keys Confusion • Cipher-text is significantly different than the original plaintext data • The property of confusion hides the relationship between the cipher-text and the key Diffusion • Is the principle that small changes in message plaintext results in large changes in the cipher-text • The idea of diffusion is to hide the relationship between the cipher-text and the plaintext Secret-algorithm • A proprietary algorithm that is not publicly disclosed • This is discouraged because it cannot be reviewed Weak / depreciated algorithms • An algorithm that can be easily "cracked" or defeated by an attacker High-resiliency • Refers to the strength of the encryption key if an attacker discovers part of the key Data-in-transit • Data sent over a network Data-at-rest • Data stored on a medium Data-in-use • Data being used by an application / computer system Out-of-band KEX • Using a medium / channel for key-exchange other than the medium the data transfer is taking place (phone, email, snail mail) In-band KEX • Using the same medium / channel for key-exchange that the data transfer is taking place Integrity • Ability to determine the message has not been altered • Hashing algorithms manage Authenticity -
BLAKE2: Simpler, Smaller, Fast As MD5
BLAKE2: simpler, smaller, fast as MD5 Jean-Philippe Aumasson1, Samuel Neves2, Zooko Wilcox-O'Hearn3, and Christian Winnerlein4 1 Kudelski Security, Switzerland [email protected] 2 University of Coimbra, Portugal [email protected] 3 Least Authority Enterprises, USA [email protected] 4 Ludwig Maximilian University of Munich, Germany [email protected] Abstract. We present the hash function BLAKE2, an improved version of the SHA-3 finalist BLAKE optimized for speed in software. Target applications include cloud storage, intrusion detection, or version control systems. BLAKE2 comes in two main flavors: BLAKE2b is optimized for 64-bit platforms, and BLAKE2s for smaller architectures. On 64- bit platforms, BLAKE2 is often faster than MD5, yet provides security similar to that of SHA-3: up to 256-bit collision resistance, immunity to length extension, indifferentiability from a random oracle, etc. We specify parallel versions BLAKE2bp and BLAKE2sp that are up to 4 and 8 times faster, by taking advantage of SIMD and/or multiple cores. BLAKE2 reduces the RAM requirements of BLAKE down to 168 bytes, making it smaller than any of the five SHA-3 finalists, and 32% smaller than BLAKE. Finally, BLAKE2 provides a comprehensive support for tree-hashing as well as keyed hashing (be it in sequential or tree mode). 1 Introduction The SHA-3 Competition succeeded in selecting a hash function that comple- ments SHA-2 and is much faster than SHA-2 in hardware [1]. There is nev- ertheless a demand for fast software hashing for applications such as integrity checking and deduplication in filesystems and cloud storage, host-based intrusion detection, version control systems, or secure boot schemes. -
Implementation and Performance Analysis of PBKDF2, Bcrypt, Scrypt Algorithms
Implementation and Performance Analysis of PBKDF2, Bcrypt, Scrypt Algorithms Levent Ertaul, Manpreet Kaur, Venkata Arun Kumar R Gudise CSU East Bay, Hayward, CA, USA. [email protected], [email protected], [email protected] Abstract- With the increase in mobile wireless or data lookup. Whereas, Cryptographic hash functions are technologies, security breaches are also increasing. It has used for building blocks for HMACs which provides become critical to safeguard our sensitive information message authentication. They ensure integrity of the data from the wrongdoers. So, having strong password is that is transmitted. Collision free hash function is the one pivotal. As almost every website needs you to login and which can never have same hashes of different output. If a create a password, it’s tempting to use same password and b are inputs such that H (a) =H (b), and a ≠ b. for numerous websites like banks, shopping and social User chosen passwords shall not be used directly as networking websites. This way we are making our cryptographic keys as they have low entropy and information easily accessible to hackers. Hence, we need randomness properties [2].Password is the secret value from a strong application for password security and which the cryptographic key can be generated. Figure 1 management. In this paper, we are going to compare the shows the statics of increasing cybercrime every year. Hence performance of 3 key derivation algorithms, namely, there is a need for strong key generation algorithms which PBKDF2 (Password Based Key Derivation Function), can generate the keys which are nearly impossible for the Bcrypt and Scrypt.