CVE-2026-22705

RustCrypto: Signatures offers support for digital signatures, which provide authentication of data using public-key cryptography. Prior to version 0.1.0-rc.2, a timing side-channel was discovered in the Decompose algorithm which is used during ML-DSA signing to generate hints for the signature...

EUVD-2026-1867

RustCrypto: Signatures has timing side-channel in ML-DSA decomposition...

RustCrypto: Signatures has timing side-channel in ML-DSA decomposition

Summary A timing side-channel was discovered in the Decompose algorithm which is used during ML-DSA signing to generate hints for the signature. Details The analysis was performed using a constant-time analyzer that examines compiled assembly code for instructions with data-dependent timing...

GHSA-HCP2-X6J4-29J7 RustCrypto: Signatures has timing side-channel in ML-DSA decomposition

Summary A timing side-channel was discovered in the Decompose algorithm which is used during ML-DSA signing to generate hints for the signature. Details The analysis was performed using a constant-time analyzer that examines compiled assembly code for instructions with data-dependent timing...

CVE-2026-22705

RustCrypto: Signatures offers support for digital signatures, which provide authentication of data using public-key cryptography. Prior to version 0.1.0-rc.2, a timing side-channel was discovered in the Decompose algorithm which is used during ML-DSA signing to generate hints for the signature...

CVE-2026-22705 RustCrypto: Signatures has timing side-channel in ML-DSA decomposition

RustCrypto: Signatures offers support for digital signatures, which provide authentication of data using public-key cryptography. Prior to version 0.1.0-rc.2, a timing side-channel was discovered in the Decompose algorithm which is used during ML-DSA signing to generate hints for the signature...

CVE-2026-22705 RustCrypto: Signatures has timing side-channel in ML-DSA decomposition

RustCrypto: Signatures offers support for digital signatures, which provide authentication of data using public-key cryptography. Prior to version 0.1.0-rc.2, a timing side-channel was discovered in the Decompose algorithm which is used during ML-DSA signing to generate hints for the signature...

CVE-2026-22705 RustCrypto: Signatures has timing side-channel in ML-DSA decomposition

RustCrypto: Signatures offers support for digital signatures, which provide authentication of data using public-key cryptography. Prior to version 0.1.0-rc.2, a timing side-channel was discovered in the Decompose algorithm which is used during ML-DSA signing to generate hints for the signature...

RustCrypto: Signatures 安全漏洞

RustCrypto: Signatures is a cryptographic signature algorithm open-sourced by Rust Crypto. A security vulnerability exists in RustCrypto: Signatures versions prior to 0.1.0-rc.2, which stems from the presence of timing side channels in the Decompose algorithm used during ML-DSA signing...

Timing side-channel in ML-DSA decomposition

Summary A timing side-channel was discovered in the Decompose algorithm which is used during ML-DSA signing to generate hints for the signature. Details The analysis was performed using a constant-time analyzer that examines compiled assembly code for instructions with data-dependent timing...

RUSTSEC-2025-0144 Timing side-channel in ML-DSA decomposition

Summary A timing side-channel was discovered in the Decompose algorithm which is used during ML-DSA signing to generate hints for the signature. Details The analysis was performed using a constant-time analyzer that examines compiled assembly code for instructions with data-dependent timing...

The vulnerability of the bernoulli_p function in the decompose() function of the PyTorch machine learning framework allows attackers to compromise the confidentiality of the protected information.

The vulnerability of the bernoullip function in the PyTorch machine learning framework’s decompose method is related to inefficient calculations by the central processor. Exploiting this vulnerability could allow a malicious actor to compromise the confidentiality of the protected information...

BIT-PYTORCH-2025-46153

PyTorch before 3.7.0 has a bernoullip decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallbackrandom=True...

EUVD-2025-31108

Malicious code in bioql PyPI...

SUSE CVE-2025-46153

PyTorch before 3.7.0 has a bernoullip decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallbackrandom=True...

CVE-2025-46153

PyTorch before 3.7.0 has a bernoullip decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallbackrandom=True...

DEBIAN-CVE-2025-46153

PyTorch before 3.7.0 has a bernoullip decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallbackrandom=True...

PYSEC-2025-202

PyTorch before 3.7.0 has a bernoullip decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallbackrandom=True...

UBUNTU-CVE-2025-46153

PyTorch before 3.7.0 has a bernoullip decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallbackrandom=True...

CVE-2025-46153

The PyTorch machine learning framework (versions before 3.7.0 ) contains a security vulnerability in the bernoulli_p function within decompositions.py. The root cause is an inconsistency between this decomposition function and the eager CPU implementation, which negatively impacts nn.Dropout1d, n...