Improper Handling of Hardware Behavior in Exceptionally Cold Environments

Incomplete Base
Structure: Simple
Description

This weakness occurs when a hardware device or its firmware lacks proper safeguards to maintain security functions when operated in extremely cold temperatures. Designers may fail to anticipate how critical components, like memory or security primitives, behave outside their standard operating range, creating exploitable gaps.

Extended Description

Hardware behavior can change dramatically in exceptionally cold environments. For instance, volatile memory like DRAM or SRAM may not clear its previous data when power is cycled at low temperatures, because the cold slows charge leakage. If a security mechanism, such as a Physical Unclonable Function (PUF) that relies on this memory for a unique, random seed, assumes a cleared or unbiased state on startup, it could instead be using predictable, old data. This breaks the fundamental security guarantee. This flaw is introduced when system designers do not account for the temperature sensitivity of their chosen hardware components. It's distinct from a 'Cold Boot Attack,' where an attacker physically removes and reads cooled memory. Here, the weakness is an internal design oversight: the device itself fails to correctly implement its security primitives—like reliable key generation or secure boot—when subjected to cold stress, because it incorrectly handles the persistent state of temperature-sensitive components.

Common Consequences 1
Scope: IntegrityAuthentication

Impact: Varies by ContextUnexpected State

Consequences of this weakness are highly contextual.

Potential Mitigations 1
Phase: Architecture and Design
The system should account for security primitive behavior when cooled outside standard temperatures.
References 3
Low-Temperature Data Remnanence Attacks Against Intrinsic SRAM PUFs
Nikolaos Athanasios Anagnostopoulos, Tolga Arul, Markus Rosenstihl, André Schaller, Sebastian Gabmeyer, and Stefan Katzenbeisser
15-10-2018
ID: REF-1181
A Fully Digital Physical Unclonable Function Based Temperature Sensor for Secure Remote Sensing
Yuan Cao, Yunyi Guo, Benyu Liu, Wei Ge, Min Zhu, and Chip-Hong Chang
11-10-2018
ID: REF-1182
Machine Learning Assisted PUF Calibration for Trustworthy Proof of Sensor Data in IoT
Urbi Chatterjee, Soumi Chatterjee, Debdeep Mukhopadhyay, and Rajat Subhra Chakraborty
06-2020
ID: REF-1183
Applicable Platforms
Languages:
Not Language-Specific : Undetermined
Technologies:
System on Chip : Undetermined
Modes of Introduction
Architecture and Design
Implementation