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Lest We Remember: Cold Boot Attacks on Encryption KeysBy J. Alex Halderman, Seth D. Schoen, Nadia Heninger, William Clarkson, William Paul, Joseph A. Calandrino, Ariel J. Feldman, Jacob Appelbaum, and Edward W. Felten
Appears in the Proceedings of the 17th USENIX Security Symposium (Sec ‘08), San Jose, CA, July 2008
Presented By Peter Matthews
Outline
Disk Encryption The Attack in a Nutshell Memory Remanence
Experimental Results Cold Boot Attack
Physical Software Results
Countermeasures
Introduction to Disk Encryption Disk encryption is one solution to the growing
need to protect access to sensitive data Allows transparent read/write access to the
hard drive while protecting the information stored on it via high-strength encryption
Typically requires initial authentication before granting access Password Biometrics such as fingerprint scanners USB dongle
Example: Using disk encryption with a laptop HD to prevent data theft if the machine is lost or stolen
Disk Encryption
20% of companies reported encrypting laptops in 2007 Source: Ponemon Institute: 2008
Annual Study: U.S. Enterprise Encryption Trends
Software attempts to minimize impact on user experience To ensure high performance, the
keys are stored persistently in memory
Attack in a Nutshell
Paper presents attacks that can defeat these disk encryption packages if an attacker gains physical access to the computer Take only a few minutes Require no expensive/exotic equipment Most need computer to be on or in sleep mode
Some even work if computer is off Rather than trying to break encryption, attack
uses a little known property of RAM and looks for the stored key in memory after a forced reboot
Bottom line: If computer is stolen or is left unattended for short time, attacker can find the disk encryption keys and access the protected data
Memory Remanence
What happens to data stored in volatile memory (RAM) when the computer’s power is cut? Widespread belief: Data is erased
In fact, data fades away gradually over a period of seconds to minutes
The following video demonstrates this:
Memory Remanence
A DRAM cell is essentially a capacitor Stores one bit by charging or not
charging one of the conductors Other conductor hard-wired to power or
ground depending on address Over time the charge will leak out of the
capacitor Cell returns to “ground state” – 1 or 0
depending on whether hard wired to power or ground
To prevent this, cell must be refreshed (re-charged) on a set schedule
Memory Remanence
Experiments show that the pattern to which the memory cells fade and the order in which they do so are highly predictable Cause: manufacturing variations
They also show that temperature has a very significant effect on the rate at which cells lose their state
Machine
Seconds w/out power
Error % at operating temp
Error % at -50º C
A 60 41 No errors
A 300 50 0.000095
B 360 50 No errors
C 600 50 0.000036
C 120 41 0.00105
C 360 42 0.00144
D 40 50 0.025
D 80 50 0.18Effect of Cooling on Error Rates
Even Colder…
Liquid nitrogen boils at -196 °C
Stored data in these memory modules, cooled them, removed them from the computer, and placed them in a container of liquid nitrogen for an hour
After returning them to the computer, found practically no information had been lost
Imaging Residual Memory
Warm-boot, configure BIOS to start tool No memory decay, but gives software chance to
wipe sensitive data Disconnect and reconnect power (cold-boot)
Little to no memory decay Transferring DRAM modules
Cool DRAM modules with “canned air”, physically remove from machine, and place into other machine
May be able to avoid BIOS overwriting portion of memory if placed in secondary slot
Little to no memory decay
Imaging Residual Memory
When the system boots, memory controller begins refreshing the memory cells and decay halts
Booting necessarily overwrites some memory Minimize: Use tiny special-purpose program to dump
contents to external medium or network address Start tool via:
Network boot Intel Preboot Execution Environment (PXE) Intel-Mac Extensible Firmware Interface (EFI)
USB flash drives / external hard drives iPod
Authors wrote software for and successfully used all of these
Key Reconstruction
Even a small amount of error complicates the process of extracting correct cryptographic keys
Naïve approach: Brute-force search over keys with a low Hamming distance from the one in memory -- The number of positions for which the
corresponding bits are different This quickly becomes computationally infeasible
Most encryption programs speed up computation by storing pre-computed data For block ciphers, this is a “key schedule” with
subkeys for each round of the algorithm
Key Reconstruction
This pre-computed data contains much more structure than the key itself Can use this structure to efficiently
reconstruct original key in presence of errors
Structure allows self-contained key validity proving No need to test decryption of ciphertext
May be thought of as an error correcting code for the key
Example – Reconstructing DES Keys DES – 56 bit key DES key schedule algorithm produces 16 subkeys
Each a permutation of a 48-bit subset of bits from the original 56 bit key
Every bit from the original key is repeated in about 14 of the 16 subkeys
Use the values of these 14 copies of a bit to make a decision about the most likely value of that bit Even with a 25% error, the probability that the key
can be decoded without brute force search is more than 98%
Trivially extends to 3DES
Finding Keys in Memory
Test every sequence of bytes to see if it decrypts known ciphertext Too expensive, only works if memory
portion is perfectly accurate Look for the key schedule rather than
the key itself Valid key schedule has certain
combinatorial properties Iterate through each appropriately sized
block of memory, treating as key schedule For each key schedule word calculate its
Hamming distance from the key schedule word that should be generated from the surrounding words
Results
Defeated Microsoft Bitlocker (Windows) Apple FileVault (OSX) TrueCrypt (Win/Mac/Linux) dm-crypt (built-in Linux disk encryption
system) Loop-AES (Linux)
Countermeasures
Scrubbing memory Proactively clear memory when keys no longer in
use Force clear memory at boot time via BIOS
Restrict booting from network / removable media Still possible to replace /add hard drives
Suspending a system safely Require password to reawaken machine, encrypt
memory with key derived from password Avoid pre-computation
High performance overhead
Countermeasures Continued… Store pre-computed key components in a
difficult to reconstruct format Hashing can make it more sensitive to bit
errors Physical defenses
Lock/Epoxy DRAM modules in place Overwrite memory if case opened or low
temperature detected Hardware defenses
Provide safe place to store keys Move encryption to disk controller
Conclusion – Paper Strengths Uses a little known property to craft a
novel and unforeseen attack Demonstrated to work against a number
of products in wide use Extends to further uses: were able to find
the OSX user login password stored in memory
Well written and presented Excellent companion website
Documented source code, Pictures, Video, etc.
Conclusion – Paper Weaknesses Certain probabilistic results seem to
imply that the authors already know which blocks’ ground states are 0 / 1 Is this realistic in an attack scenario?
Future Work
What else is stored in “untouchable” memory? Authors found OSX user login password
stored multiple place in local memory Possible to use memory addresses that
every BIOS has to overwrite due to X86 legacy?
Production of effective hardware defenses
A precise quantification of remanence effects on RAM of various types and from various makers