Covert timing channel
This is a Vulnerability. To view all vulnerabilities, please see the Vulnerability Category page.
Unintended information about data gets leaked through observing the timing of events.
- Confidentiality: Information leakage.
- Design: Protocols usually have timing difficulties implicit in their design.
- Implementation: Sometimes a timing covert channel can be dependent on implementation strategy. Example: Using conditionals may leak information, but using table lookup will not.
Likelihood of exploit
Avoidance and mitigation
- Design: Whenever possible, specify implementation strategies that do not introduce time variances in operations.
- Implementation: Often one can artificially manipulate the time which operations take or - when operations occur - can remove information from the attacker.
Sometimes simply knowing when data is sent between parties can provide a malicious user with information that should be unauthorized.
Other times, externally monitoring the timing of operations can reveal sensitive data. For example, some cryptographic operations can leak their internal state if the time it takes to perform the operation changes, based on the state. In such cases, it is good to switch algorithms or implementation techniques. It is also reasonable to add artificial stalls to make the operation take the same amount of raw CPU time in all cases.
def validate_password(actual_pw, typed_pw): if len(actual_pw) <> len(typed_pw): return 0 for i in len(actual_pw): if actual_pw[i] <> typed_pw[i]: return 0 return 1
In this example, the attacker can observe how long an authentication takes when the user types in the correct password. When the attacker tries his own values, he can first try strings of various length. When he finds a string of the right length, the computation will take a bit longer because the for loop will run at least once.
Additionally, with this code, the attacker can possibly learn one character of the password at a time, because when he guesses the first character right, the computation will take longer than when he guesses wrong. Such an attack can break even the most sophisticated password with a few hundred guesses.
Note that, in this example, the actual password must be handled in constant time, as far as the attacker is concerned, even if the actual password is of an unusual length. This is one reason why it is good to use an algorithm that, among other things, stores a seeded cryptographic one-way hash of the password, then compare the hashes, which will always be of the same length.