112 matches found
PT-2026-59800
Impact If QuantizedInstanceNorm is given x min or x max tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf output range given = False given y min = 0 given y max = 0 variance epsilon = 1e-05 min separation =...
PYSEC-2026-2803 Out-of-bounds Read in OpenCV
OpenCV 4.1.1 has an out-of-bounds read in halbaseline::vload in core/hal/intrinsse.hpp when called from computeSSDMeanNorm in modules/video/src/disflow.cpp...
PYSEC-2026-2842 Out-of-bounds Read in OpenCV
OpenCV 4.1.1 has an out-of-bounds read in halbaseline::vload in core/hal/intrinsse.hpp when called from computeSSDMeanNorm in modules/video/src/disflow.cpp...
TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`
ImpactIf QuantizedInstanceNorm is given xmin or xmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfoutputrangegiven = Falsegivenymin = 0givenymax = 0varianceepsilon = 1e-05minseparation = 0.001x =...
PYSEC-2026-995 TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`
Impact If QuantizedInstanceNorm is given xmin or xmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outputrangegiven = False givenymin = 0 givenymax = 0 varianceepsilon = 1e-05 minseparation = 0.001 x =...
auto-augment (1.0.0), bio-pyminer (>=0.9.13, <=0.10.0) +3 more potentially affected by CVE-2023-48022 via ray (0.8.4)
ray PYPI version 0.8.4 is affected by a known vulnerability. The following packages have a transitive dependency on ray and may be impacted: - auto-augment 1.0.0 - bio-pyminer =0.9.13, =0.0.0, =0.4.7, =0.4.9 Source cves: CVE-2023-48022 Source advisory: OSV:PYSEC-2026-517...
AI Agents May Always Fall for Prompt Injections
Prompt injection is the most critical vulnerability in deployed AI agents. Despite recent progress, we show that the prevailing defense paradigm data-instruction separation both fails to detect attacks that operate through contextual manipulation and degrades contextually appropriate behavior. We...
GHSA-CP57-FQ8G-QH6V libcrux has an Incorrect Check of Signer Response Norm During Verification
The ML-DSA verification algorithm as specified in FIPS 204, subsection 6.3 requires verifiers to check that the infinity norm of the deserialized signer response $z$ does not exceed $\gamma1 - \beta$ line 13 of Algorithm 8. The same check is required to be performed during signature generation...
libcrux has an Incorrect Check of Signer Response Norm During Verification
The ML-DSA verification algorithm as specified in FIPS 204, subsection 6.3 requires verifiers to check that the infinity norm of the deserialized signer response $z$ does not exceed $\gamma1 - \beta$ line 13 of Algorithm 8. The same check is required to be performed during signature generation...
RUSTSEC-2026-0077 Incorrect Check of Signer Response Norm During Verification
The ML-DSA verification algorithm as specified in FIPS 204, subsection 6.3 requires verifiers to check that the infinity norm of the deserialized signer response $z$ does not exceed $\gamma1 - \beta$ line 13 of Algorithm 8. The same check is required to be performed during signature generation...
PT-2026-27359
The ML-DSA verification algorithm as specified in FIPS 204, subsection 6.3 requires verifiers to check that the infinity norm of the deserialized signer response $z$ does not exceed $gamma 1 - beta$ line 13 of Algorithm 8. The same check is required to be performed during signature generation...
auto-augment (1.0.0), bio-pyminer (>=0.9.13, <=0.10.0) +3 more potentially affected by CVE-2026-27482 via ray (0.8.4)
ray PYPI version 0.8.4 is affected by a known vulnerability. The following packages have a transitive dependency on ray and may be impacted: - auto-augment 1.0.0 - bio-pyminer =0.9.13, =0.0.0, =0.4.7, =0.4.9 Source cves: CVE-2026-27482 Source advisory: OSV:PYSEC-2026-2271...
Targeted Pooled Latent-Space Steganalysis Applied to Generative Steganography, with a Fix
Steganographic schemes dedicated to generated images modify the seed vector in the latent space to embed a message, whereas most steganalysis methods attempt to detect the embedding in the image space. This paper proposes to perform steganalysis in the latent space by modeling the statistical...
EUVD-2008-4101
Malware in sbrugna...
Linear and Numerical SDoF Bounds of Active RIS-Assisted MIMO Wiretap Interference Channel
The multiple-input multiple-output MIMO wiretap interference channel IC serves as a canonical model for information-theoretic security, where a multiple-antenna eavesdropper attempts to intercept communications in a two-user MIMO IC system. The secure degrees-of-freedom SDoF of an active...
When Better Features Mean Greater Risks: the Performance-Privacy Trade-Off in Contrastive Learning
With the rapid advancement of deep learning technology, pre-trained encoder models have demonstrated exceptional feature extraction capabilities, playing a pivotal role in the research and application of deep learning. However, their widespread use has raised significant concerns about the risk o...
auto-augment (1.0.0), bio-pyminer (>=0.9.13, <=0.10.0) +3 more potentially affected by CVE-2023-48022 via ray (0.8.4)
ray PYPI version 0.8.4 is affected by a known vulnerability. The following packages have a transitive dependency on ray and may be impacted: - auto-augment 1.0.0 - bio-pyminer =0.9.13, =0.0.0, =0.4.7, =0.4.9 Source cves: CVE-2023-48022 Source advisory: OSV:GHSA-6WGJ-66M2-XXP2...
SUSE CVE-2019-16249
OpenCV 4.1.1 has an out-of-bounds read in halbaseline::vload in core/hal/intrinsse.hpp when called from computeSSDMeanNorm in modules/video/src/disflow.cpp...
SUSE CVE-2021-29548
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...
SUSE CVE-2021-29547
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...