dragonn (0.4.2), dream-on-gym (0.0.1) +5 more potentially affected by CVE-2022-35965 via tensorflow-gpu (1.15.0)

tensorflow-gpu PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - dragonn 0.4.2 - dream-on-gym 0.0.1 - ml4a =0.1.0, =0.0.3, =0.3.0, =0.9.0, =0.0.5, =0.0.88 Source cves: CVE-2022-35965 Source...

animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +44 more potentially affected by CVE-2022-35992 via tensorflow-gpu (>=2.0.0, <=2.7.0)

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, =0.2.0, =0.2.1 and more Source cves: CVE-2022-35992 Source advisory: OSV:PYSEC-2026-979...

bert-multitask-learning (>=0.1.0, <=0.2.9), miscnn (>=0.6.0, <=0.28.0) potentially affected by CVE-2022-35992 via tensorflow-gpu (1.13.1)

tensorflow-gpu PYPI version 1.13.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - bert-multitask-learning =0.1.0, =0.6.0, =0.28.0 Source cves: CVE-2022-35992 Source advisory: OSV:PYSEC-2026-979...

PYSEC-2026-988 TensorFlow vulnerable to segfault in `BlockLSTMGradV2`

Impact The implementation of BlockLSTMGradV2 does not fully validate its inputs. - wci, wcf, wco, b must be rank 1 - w, csprev, hprev must be rank 2 - x must be rank 3 This results in a a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf usepeephole =...

PYSEC-2026-1005 TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`

Impact The UnbatchGradOp function takes an argument id that is assumed to be a scalar. A nonscalar id can trigger a CHECK failure and crash the program. python import numpy as np import tensorflow as tf id is not scalar tf.rawops.UnbatchGradoriginalinput= tf.constant1,batchindex=tf.constant0,0,0 ...

PYSEC-2026-994 TensorFlow vulnerable to null dereference on MLIR on empty function attributes

Impact When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference. cpp // Import the function attributes with a tf. prefix to match the current // infrastructure expectations. for const auto& namedAttr : func.attr const std::string& name =...

delft (>=0.2.3, <=0.2.4), keras-textclassification (0.1.6) +10 more potentially affected by CVE-2022-36002 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-2022-36002 Source...

jlpyutils (>=0.0.7, <=0.1.1) potentially affected by CVE-2022-35995 via tensorflow-gpu (1.12.2)

tensorflow-gpu PYPI version 1.12.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - jlpyutils =0.0.7, =0.1.1 Source cves: CVE-2022-35995 Source advisory: OSV:PYSEC-2026-998...

relion-yolo-it (0.1.3) potentially affected by CVE-2022-36003 via tensorflow-gpu (1.10.1)

tensorflow-gpu PYPI version 1.10.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - relion-yolo-it 0.1.3 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-982...

TensorFlow vulnerable to segfault in `Requantize`

ImpactIf Requantize is given inputmin, inputmax, requestedoutputmin, requestedoutputmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfouttype = tf.quint8input = tf.constant1, shape=3, dtype=tf.qint32inputmin...

niftynet (0.1.1rc58) potentially affected by CVE-2022-36003 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-2022-36003 Source advisory: OSV:PYSEC-2026-982...

causalegm (>=0.2.1, <=0.2.5), chrombpnet (>=0.1.0, <=0.1.2) +3 more potentially affected by CVE-2022-36003 via tensorflow-gpu (2.8.0)

tensorflow-gpu PYPI version 2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch 0.0.2 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-982...

jlpyutils (>=0.0.7, <=0.1.1) potentially affected by CVE-2022-36002 via tensorflow-gpu (1.12.2)

tensorflow-gpu PYPI version 1.12.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - jlpyutils =0.0.7, =0.1.1 Source cves: CVE-2022-36002 Source advisory: OSV:PYSEC-2026-1020...

PYSEC-2026-1045 TensorFlow vulnerable to segfault in `Requantize`

Impact If Requantize is given inputmin, inputmax, requestedoutputmin, requestedoutputmax 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 outtype = tf.quint8 input = tf.constant1, shape=3, dtype=tf.qint32...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-36004 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-36004 Source advisory: OSV:PYSEC-2026-1022...

niftynet (0.1.1rc58) potentially affected by CVE-2022-36015 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-2022-36015 Source advisory: OSV:PYSEC-2026-1033...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-36003 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-982...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-35995 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-35995 Source advisory: OSV:PYSEC-2026-998...

strawberryfields-gpu (>=0.7.3, <=0.10.0) potentially affected by CVE-2022-36004 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-2022-36004 Source advisory: OSV:PYSEC-2026-1022...

strawberryfields-gpu (>=0.7.3, <=0.10.0) potentially affected by CVE-2022-35995 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-2022-35995 Source advisory: OSV:PYSEC-2026-998...