TensorFlow vulnerable to null dereference on MLIR on empty function attributes

ImpactWhen 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 = "tf."...

animalai-train (0.4.0), mlagents (>=0.4.0, <=0.10.0.dev0) +2 more potentially affected by CVE-2022-36013 via tensorflow (1.7.1)

tensorflow PYPI version 1.7.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - animalai-train 0.4.0 - mlagents =0.4.0, =0.10.0.dev0 - pytransdec 0.2.1 - unityagents 0.4.0 Source cves: CVE-2022-36013 Source advisory:...

PYSEC-2026-3295 TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`

Impact When mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes. cpp Status GraphDefImporter::ConvertNodeDefOpBuilder &builder, ConversionState &s, const NodeDef &node VLOG4 opdef; else auto it = functionopdefs.findnode.op; if it ==...

axelerate (>=0.5.2, <=0.5.5), bert-experimental (1.0.0) +24 more potentially affected by CVE-2022-36013 via tensorflow (1.15.2)

tensorflow PYPI version 1.15.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.2, =2.0.1, =1.0.1, =0.1.0.dev1, =1.5.0.dev20210429, =1.5.0.dev20210512 - fedlearner-manylinux 1.5.0.dev20210429 -...

TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`

ImpactWhen mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes.cppStatus GraphDefImporter::ConvertNodeDefOpBuilder , ConversionState , const NodeDef VLOG4 opdef; else auto it = functionopdefs.findnode.op; if it == functionopdefs.end return...

TensorFlow vulnerable to null dereference on MLIR on empty function attributes

ImpactWhen 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 = "tf."...

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...

PYSEC-2026-3180 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 =...

PYSEC-2026-3352 TensorFlow vulnerable to `CHECK` fail in `Unbatch`

Impact When Unbatch receives a nonscalar input id, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=3, 3, 1, dtype=tf.float64 arg1=tf.constantvalue=np.random.randint0,100,size=3, 3, 1,...

animalai-train (>=0.6.0, <=1.0.3), coach-cli (0.91.0) +3 more potentially affected by CVE-2022-36017 via tensorflow (1.12.2)

tensorflow PYPI version 1.12.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - animalai-train =0.6.0, =0.10.0, =0.3.2, =0.4.3 Source cves: CVE-2022-36017 Source advisory: OSV:PYSEC-2026-3256...

PYSEC-2026-3256 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...

PYSEC-2026-3379 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...

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...

alfabet (0.0.5), alibi (>=0.3.1, <=0.5.1) +67 more potentially affected by CVE-2022-36017 via tensorflow (1.15.5)

tensorflow PYPI version 1.15.5 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - alfabet 0.0.5 - alibi =0.3.1, =0.1.0, =1.0.2, =0.1.0a3, =0.1.1, =0.0.1, =0.1.14, =0.2.0, =0.0.1, =0.1.0, =0.7.0 and more Source cves:...

alfabet (0.0.5), alibi (>=0.3.1, <=0.5.1) +67 more potentially affected by CVE-2022-36013 via tensorflow (1.15.5)

tensorflow PYPI version 1.15.5 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - alfabet 0.0.5 - alibi =0.3.1, =0.1.0, =1.0.2, =0.1.0a3, =0.1.1, =0.0.1, =0.1.14, =0.2.0, =0.0.1, =0.1.0, =0.7.0 and more Source cves:...

branchedgp (1.0.0), fate-client (>=0.1.0, <=1.5.3) +9 more potentially affected by CVE-2022-36017 via tensorflow (1.15.4)

tensorflow PYPI version 1.15.4 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - branchedgp 1.0.0 - fate-client =0.1.0, =0.2.2, =0.2.0, =0.2.4, =0.0.5.dev0, =1.5.0, =0.1.6, =0.2.4 Source cves: CVE-2022-36017 Source...

axelerate (>=0.5.8, <=0.5.9), bianbu-ai-toolkit-tf1 (1.0.6) +27 more potentially affected by CVE-2022-36013 via tensorflow (1.15.3)

tensorflow PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.8, =0.0.1.2, =0.0.13, =1.1.0, =0.22.0, =1.6.0, =4.1.3, =0.10.0.dev1, =0.11.0 - muffnn 2.3.1 - neoepiscope 0.4.0 and more...

abba-python (>=0.1.6, <=0.3.0), adversal-embedding (>=0.0.1, <=0.0.7) +52 more potentially affected by CVE-2022-36013 via tensorflow (1.15.0)

tensorflow PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - abba-python =0.1.6, =0.0.1, =0.2.6, =2023.1.0, =0.2.11, =0.0.4, =0.10.0, =0.10.1 - deepaclive 0.1.0 and more Source cves: CVE-2022-36013...

abba-python (>=0.1.6, <=0.3.0), adversal-embedding (>=0.0.1, <=0.0.7) +52 more potentially affected by CVE-2022-36017 via tensorflow (1.15.0)

tensorflow PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - abba-python =0.1.6, =0.0.1, =0.2.6, =2023.1.0, =0.2.11, =0.0.4, =0.10.0, =0.10.1 - deepaclive 0.1.0 and more Source cves: CVE-2022-36017...

axelerate (>=0.5.8, <=0.5.9), bianbu-ai-toolkit-tf1 (1.0.6) +27 more potentially affected by CVE-2022-36017 via tensorflow (1.15.3)

tensorflow PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.8, =0.0.1.2, =0.0.13, =1.1.0, =0.22.0, =1.6.0, =4.1.3, =0.10.0.dev1, =0.11.0 - muffnn 2.3.1 - neoepiscope 0.4.0 and more...