Originally for the sake of simplicity there was a single category for software based attacks, namely timing side channel attacks. Be more precise and categorise attacks as software based whether or not they rely on physical information. Signed-off-by: Janos Follath <janos.follath@arm.com>
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Reporting Vulnerabilities
If you think you have found an Mbed TLS security vulnerability, then please send an email to the security team at mbed-tls-security@lists.trustedfirmware.org.
Security Incident Handling Process
Our security process is detailed in our security center.
Its primary goal is to ensure fixes are ready to be deployed when the issue goes public.
Maintained branches
Only the maintained branches, as listed in BRANCHES.md
,
get security fixes.
Users are urged to always use the latest version of a maintained branch.
Threat model
We use the following classification of attacks:
Remote attacks
The attacker can observe and modify data sent over the network. This includes observing the content and timing of individual packets, as well as suppressing or delaying legitimate messages, and injecting messages.
Mbed TLS aims to fully protect against remote attacks and to enable the user application in providing full protection against remote attacks. Said protection is limited to providing security guarantees offered by the protocol in question. (For example Mbed TLS alone won't guarantee that the messages will arrive without delay, as the TLS protocol doesn't guarantee that either.)
Local attacks
The attacker is capable of running code on the same hardware as Mbed TLS, but there is still a security boundary between them (ie. the attacker can't for example read secrets from Mbed TLS' memory directly).
Timing attacks
The attacker can gain information about the time taken by certain sets of instructions in Mbed TLS operations. (See for example the Flush+Reload paper.)
(Technically, timing information can be observed over the network or through physical side channels as well. Network timing attacks are less powerful than local and countermeasures protecting against local attacks prevent network attacks as well. If the timing information is gained through physical side channels, we consider them physical attacks and as such they are out of scope.)
Mbed TLS provides limited protection against timing attacks. The cost of protecting against timing attacks widely varies depending on the granularity of the measurements and the noise present. Therefore the protection in Mbed TLS is limited. We are only aiming to provide protection against publicly documented attacks, and this protection is not currently complete.
Warning! Block ciphers do not yet achieve full protection. For details and workarounds see the section below.
Currently there are four block ciphers in Mbed TLS: AES, CAMELLIA, ARIA and DES. The pure software implementation in Mbed TLS implementation uses lookup tables, which are vulnerable to timing attacks.
Workarounds:
- Turn on hardware acceleration for AES. This is supported only on selected
architectures and currently only available for AES. See configuration options
MBEDTLS_AESCE_C
,MBEDTLS_AESNI_C
andMBEDTLS_PADLOCK_C
for details. - Add a secure alternative implementation (typically hardware acceleration) for the vulnerable cipher. See the Alternative Implementations Guide for more information.
- Use cryptographic mechanisms that are not based on block ciphers. In particular, for authenticated encryption, use ChaCha20/Poly1305 instead of block cipher modes. For random generation, use HMAC_DRBG instead of CTR_DRBG.
Local non-timing side channels
The attacker code running on the platform has access to some sensor capable of picking up information on the physical state of the hardware while Mbed TLS is running. This can for example be any analogue to digital converter on the platform that is located unfortunately enough to pick up the CPU noise. (See for example the Leaky Noise paper.)
Mbed TLS doesn't offer any security guarantees against local non-timing based side channel attacks. If local non-timing attacks are present in a use case or a user application's threat model, it needs to be mitigated by the platform.
Local fault injection attacks
Software running on the same hardware can affect the physical state of the device and introduce faults. (See for example the Row Hammer paper.)
Mbed TLS doesn't offer any security guarantees against local fault injection attacks. If local fault injection attacks are present in a use case or a user application's threat model, it needs to be mitigated by the platform.
Physical attacks
The attacker has access to physical information about the hardware Mbed TLS is running on and/or can alter the physical state of the hardware (eg. power analysis, radio emissions or fault injection).
Mbed TLS doesn't offer any security guarantees against physical attacks. If physical attacks are present in a use case or a user application's threat model, it needs to be mitigated by physical countermeasures.