CWE-1255
Comparison Logic is Vulnerable to Power Side-Channel Attacks
A device's real time power consumption may be monitored during security token evaluation and the information gleaned may be used to determine the value of the reference token.
CVE-2025-3301 (GCVE-0-2025-3301)
Vulnerability from cvelistv5
- CWE-1255 - Comparison Logic is Vulnerable to Power Side-Channel Attacks
► | URL | Tags | |||
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Vendor | Product | Version | ||
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silabs.com | Series 2 SoCs and associated modules |
Version: 0 < |
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Mitigation
Phase: Architecture and Design
Description:
- The design phase must consider each check of a security token against a standard and the amount of power consumed during the check of a good token versus a bad token. The alternative is an all at once check where a retry counter is incremented PRIOR to the check.
Mitigation
Phase: Architecture and Design
Description:
- Another potential mitigation is to parallelize shifting of secret data (see example 2 below). Note that the wider the bus the more effective the result.
Mitigation
Phase: Architecture and Design
Description:
- An additional potential mitigation is to add random data to each crypto operation then subtract it out afterwards. This is highly effective but costly in performance, area, and power consumption. It also requires a random number generator.
Mitigation
Phase: Implementation
Description:
- If the architecture is unable to prevent the attack, using filtering components may reduce the ability to implement an attack, however, consideration must be given to the physical removal of the filter elements.
Mitigation
Phase: Integration
Description:
- During integration, avoid use of a single secret for an extended period (e.g. frequent key updates). This limits the amount of data compromised but at the cost of complexity of use.
CAPEC-189: Black Box Reverse Engineering
An adversary discovers the structure, function, and composition of a type of computer software through black box analysis techniques. 'Black Box' methods involve interacting with the software indirectly, in the absence of direct access to the executable object. Such analysis typically involves interacting with the software at the boundaries of where the software interfaces with a larger execution environment, such as input-output vectors, libraries, or APIs. Black Box Reverse Engineering also refers to gathering physical side effects of a hardware device, such as electromagnetic radiation or sounds.