CVE-2021-25490
NixOS vulnerability analysis and mitigation

Overview

A keyblob downgrade attack vulnerability (CVE-2021-25490) was discovered in Samsung's Keymaster Trusted Application (TA) prior to SMR Oct-2021 Release 1. The vulnerability affected Samsung Galaxy devices running Android versions 9.0, 10.0, and 11.0, potentially impacting an estimated 100 million phones (Hacker News, The Register).

Technical details

The vulnerability existed in the implementation of the hardware-backed Keystore's Keymaster TA that runs in the ARM TrustZone-based TEE (Trusted Execution Environment). The flaw allowed attackers with privileged process access to perform a keyblob downgrade attack, which could trigger an IV (Initialization Vector) reuse vulnerability. This design flaw compromised the cryptographic security by allowing the reuse of IVs, which should be unique for each encryption operation to maintain security (Samsung Mobile).

Impact

The vulnerability could allow attackers to extract hardware-protected cryptographic keys from the secure element, potentially compromising sensitive data including cryptographic key management, FIDO2 web authentication, digital rights management data, mobile payment services such as Samsung Pay, and enterprise identity management (Hacker News).

Mitigation and workarounds

Samsung addressed the vulnerability in October 2021 through their Security Maintenance Release (SMR Oct-2021 Release 1). The patch removed the legacy blob implementation from affected devices including Samsung's Galaxy S10, S20, and S21 phones (Samsung Mobile).

Community reactions

Cryptography experts criticized Samsung's implementation, with Matthew Green, associate professor at Johns Hopkins Information Security Institute, describing the flaws as "embarrassingly bad." The academic community emphasized that cryptographic implementations should be well-audited and reviewed by independent researchers rather than relying on proprietary systems (Threatpost).

Additional resources


SourceThis report was generated using AI

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