55039 matches found
strawberryfields-gpu (>=0.7.3, <=0.10.0) potentially affected by CVE-2022-29213 via tensorflow-gpu (1.6.0)
tensorflow-gpu PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - strawberryfields-gpu =0.7.3, =0.10.0 Source cves: CVE-2022-29213 Source advisory: OSV:PYSEC-2026-952...
strawberryfields-gpu (>=0.7.3, <=0.10.0) potentially affected by CVE-2022-29212 via tensorflow-gpu (1.6.0)
tensorflow-gpu PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - strawberryfields-gpu =0.7.3, =0.10.0 Source cves: CVE-2022-29212 Source advisory: OSV:PYSEC-2026-972...
niftynet (0.1.1rc58) potentially affected by CVE-2022-29211 via tensorflow-gpu (1.1.0)
tensorflow-gpu PYPI version 1.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - niftynet 0.1.1rc58 Source cves: CVE-2022-29211 Source advisory: OSV:PYSEC-2026-1048...
delft (>=0.2.3, <=0.2.4), keras-textclassification (0.1.6) +10 more potentially affected by CVE-2022-29209 via tensorflow-gpu (1.12.0)
tensorflow-gpu PYPI version 1.12.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - delft =0.2.3, =0.0.1, =0.0.1, =0.0.2 - monk-keras-cuda92 0.0.1 - monk-keras-cuda92-test 0.0.1 Source cves: CVE-2022-29209 Source...
Heap buffer overflow due to incorrect hash function in TensorFlow
ImpactThe TensorKey hash function used total estimated AllocatedBytes, which a is an estimate per tensor, and b is a very poor hash function for constants e.g. int32t. It also tried to access individual tensor bytes through tensor.data of size AllocatedBytes. This led to ASAN failures because the...
Segfault and OOB write due to incomplete validation in `EditDistance` in TensorFlow
ImpactThe implementation of tf.rawops.EditDistance has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service:pythonimport tensorflow as tfhypothesisindices = tf.constant-1250999896764, shape=3, 3, dtype=tf.int64 hypothesisvalues = tf.constant0...
Code injection in `saved_model_cli` in TensorFlow
ImpactTensorFlow's savedmodelcli tool is vulnerable to a code injection:savedmodelcli run --inputexprs 'x=print"malicious code to run"' --dir ./--tagset serve --signaturedef servingdefaultThis can be used to open a reverse shell savedmodelcli run --inputexprs 'hello=exec"""\nimport...
Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow
ImpactThe implementation of tf.histogramfixedwidth is vulnerable to a crash when the values array contain NaN elements:pythonimport tensorflow as tfimport numpy as nptf.histogramfixedwidthvalues=np.nan, valuerange=1,2The implementation assumes that all floating point operations are defined and th...
PYSEC-2026-1048 Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow
Impact The implementation of tf.histogramfixedwidth is vulnerable to a crash when the values array contain NaN elements: python import tensorflow as tf import numpy as np tf.histogramfixedwidthvalues=np.nan, valuerange=1,2 The implementation assumes that all floating point operations are defined...
PYSEC-2026-1007 Heap buffer overflow due to incorrect hash function in TensorFlow
Impact The TensorKey hash function used total estimated AllocatedBytes, which a is an estimate per tensor, and b is a very poor hash function for constants e.g. int32t. It also tried to access individual tensor bytes through tensor.data of size AllocatedBytes. This led to ASAN failures because th...
verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-29208 via tensorflow-gpu (1.15.3)
tensorflow-gpu PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - verse16 =0.1.1, =0.1.2 Source cves: CVE-2022-29208 Source advisory: OSV:PYSEC-2026-943...
verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-29212 via tensorflow-gpu (1.15.3)
tensorflow-gpu PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - verse16 =0.1.1, =0.1.2 Source cves: CVE-2022-29212 Source advisory: OSV:PYSEC-2026-972...
animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +43 more potentially affected by CVE-2022-29211 via tensorflow-gpu (>=2.0.0, <=2.6.2)
tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.5, =0.2.1 and more Source cves: CVE-2022-29211 Source advisory: OSV:PYSEC-2026-1048...
animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +43 more potentially affected by CVE-2022-29213 via tensorflow-gpu (>=2.0.0, <=2.6.2)
tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.5, =0.2.1 and more Source cves: CVE-2022-29213 Source advisory: OSV:PYSEC-2026-952...
animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +43 more potentially affected by CVE-2022-29216 via tensorflow-gpu (>=2.0.0, <=2.6.2)
tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.5, =0.2.1 and more Source cves: CVE-2022-29216 Source advisory: OSV:PYSEC-2026-963...
arekit (>=0.21.0, <=0.22.1), arenets (>=0.23.0, <=0.23.1) +19 more potentially affected by CVE-2022-29212 via tensorflow-gpu (1.14.0)
tensorflow-gpu PYPI version 1.14.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - arekit =0.21.0, =0.23.0, =1.0.0, =0.0.1, =0.1.6, =0.1.0, =0.0.6, =1.0.1, =1.0.2 - ocrd-anybaseocr 0.0.1 and more Source cves:...
audeep (>=0.9.2, <=0.9.6a1), cryocare (>=0.0.1, <=0.0.2) +17 more potentially affected by CVE-2022-29212 via tensorflow-gpu (1.15.5)
tensorflow-gpu PYPI version 1.15.5 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - audeep =0.9.2, =0.0.1, =0.6.7a1, =0.2.5, =0.1.0, =0.0.1, =0.1.0, =0.1.0, =1.3.0, =0.0.4, =0.1.3, =0.4.0, =0.0.6, =0.0.8 and more...
audeep (>=0.9.2, <=0.9.6a1), cryocare (>=0.0.1, <=0.0.2) +17 more potentially affected by CVE-2022-29209 via tensorflow-gpu (1.15.5)
tensorflow-gpu PYPI version 1.15.5 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - audeep =0.9.2, =0.0.1, =0.6.7a1, =0.2.5, =0.1.0, =0.0.1, =0.1.0, =0.1.0, =1.3.0, =0.0.4, =0.1.3, =0.4.0, =0.0.6, =0.0.8 and more...
vcap (>=0.2.4.dev13, <=0.3.1) potentially affected by CVE-2022-29208 via tensorflow-gpu (1.15.4)
tensorflow-gpu PYPI version 1.15.4 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - vcap =0.2.4.dev13, =0.3.1 Source cves: CVE-2022-29208 Source advisory: OSV:PYSEC-2026-943...
vcap (>=0.2.4.dev13, <=0.3.1) potentially affected by CVE-2022-29216 via tensorflow-gpu (1.15.4)
tensorflow-gpu PYPI version 1.15.4 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - vcap =0.2.4.dev13, =0.3.1 Source cves: CVE-2022-29216 Source advisory: OSV:PYSEC-2026-963...