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PyPA
PyPA
•added 2026/07/09 4:49 p.m.•21 views

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...

7.8CVSS6.9AI score0.00549EPSS
SaveExploits1References12Affected Software1
OSV
OSV
•added 2026/07/09 4:49 p.m.•13 views

PYSEC-2026-3125 Code injection in `saved_model_cli` in TensorFlow

Impact TensorFlow's savedmodelcli tool is vulnerable to a code injection: savedmodelcli run --inputexprs 'x=print"malicious code to run"' --dir ./ --tagset serve --signaturedef servingdefault This can be used to open a reverse shell savedmodelcli run --inputexprs 'hello=exec"""\nimport...

7.8CVSS6.9AI score0.00549EPSS
SaveExploits1References12
OSV
OSV
•added 2026/07/09 4:49 p.m.•11 views

PYSEC-2026-3289 Code injection in `saved_model_cli` in TensorFlow

Impact TensorFlow's savedmodelcli tool is vulnerable to a code injection: savedmodelcli run --inputexprs 'x=print"malicious code to run"' --dir ./ --tagset serve --signaturedef servingdefault This can be used to open a reverse shell savedmodelcli run --inputexprs 'hello=exec"""\nimport...

7.8CVSS6.1AI score0.00549EPSS
SaveExploits1References12
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•21 views

Incomplete validation in signal ops leads to crashes in TensorFlow

ImpactThe tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d lack input validation and under certain condition can result in crashes due to CHECK-failures. Patches We have patched the issue in GitHub commit 0a8a781e597b18ead006d19b7d23d0a369e9ad73 merging GitHub PR 55274.The fix will be...

5.5CVSS5.9AI score0.00318EPSS
SaveExploits1References12Affected Software1
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•19 views

Incomplete validation in signal ops leads to crashes in TensorFlow

ImpactThe tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d lack input validation and under certain condition can result in crashes due to CHECK-failures. Patches We have patched the issue in GitHub commit 0a8a781e597b18ead006d19b7d23d0a369e9ad73 merging GitHub PR 55274.The fix will be...

5.5CVSS5.9AI score0.00318EPSS
SaveExploits1References12Affected Software1
OSV
OSV
•added 2026/07/09 4:49 p.m.•13 views

PYSEC-2026-3107 Incomplete validation in signal ops leads to crashes in TensorFlow

Impact The tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d lack input validation and under certain condition can result in crashes due to CHECK-failures. Patches We have patched the issue in GitHub commit 0a8a781e597b18ead006d19b7d23d0a369e9ad73 merging GitHub PR 55274. The fix will be...

5.5CVSS5.9AI score0.00318EPSS
SaveExploits1References12
OSV
OSV
•added 2026/07/09 4:49 p.m.•15 views

PYSEC-2026-3277 Incomplete validation in signal ops leads to crashes in TensorFlow

Impact The tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d lack input validation and under certain condition can result in crashes due to CHECK-failures. Patches We have patched the issue in GitHub commit 0a8a781e597b18ead006d19b7d23d0a369e9ad73 merging GitHub PR 55274. The fix will be...

5.5CVSS5.9AI score0.00318EPSS
SaveExploits1References12
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•22 views

Core dump when loading TFLite models with quantization in TensorFlow

ImpactCertain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling.Thus, since code was calling...

5.5CVSS5.9AI score0.00324EPSS
SaveExploits1References12Affected Software1
OSV
OSV
•added 2026/07/09 4:49 p.m.•17 views

PYSEC-2026-3299 Core dump when loading TFLite models with quantization in TensorFlow

Impact Certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling...

5.5CVSS5.9AI score0.00324EPSS
SaveExploits1References12
OSV
OSV
•added 2026/07/09 4:49 p.m.•10 views

PYSEC-2026-3141 Core dump when loading TFLite models with quantization in TensorFlow

Impact Certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling...

5.5CVSS5.9AI score0.00324EPSS
SaveExploits1References12
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•19 views

Core dump when loading TFLite models with quantization in TensorFlow

ImpactCertain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling.Thus, since code was calling...

5.5CVSS5.9AI score0.00324EPSS
SaveExploits1References12Affected Software1
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•22 views

Type confusion leading to `CHECK`-failure based denial of service in TensorFlow

ImpactThe macros that TensorFlow uses for writing assertions e.g., CHECKLT, CHECKGT, etc. have an incorrect logic when comparing sizet and int values. Due to type conversion rules, several of the macros would trigger incorrectly. PatchesWe have patched the issue in GitHub commit...

5.5CVSS5.9AI score0.00395EPSS
SaveExploits1References13Affected Software1
OSV
OSV
•added 2026/07/09 4:49 p.m.•13 views

PYSEC-2026-3167 Type confusion leading to `CHECK`-failure based denial of service in TensorFlow

Impact The macros that TensorFlow uses for writing assertions e.g., CHECKLT, CHECKGT, etc. have an incorrect logic when comparing sizet and int values. Due to type conversion rules, several of the macros would trigger incorrectly. Patches We have patched the issue in GitHub commit...

5.5CVSS5.9AI score0.00395EPSS
SaveExploits1References13
OSV
OSV
•added 2026/07/09 4:49 p.m.•16 views

PYSEC-2026-3315 Type confusion leading to `CHECK`-failure based denial of service in TensorFlow

Impact The macros that TensorFlow uses for writing assertions e.g., CHECKLT, CHECKGT, etc. have an incorrect logic when comparing sizet and int values. Due to type conversion rules, several of the macros would trigger incorrectly. Patches We have patched the issue in GitHub commit...

5.5CVSS5.9AI score0.00395EPSS
SaveExploits1References13
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•17 views

Type confusion leading to `CHECK`-failure based denial of service in TensorFlow

ImpactThe macros that TensorFlow uses for writing assertions e.g., CHECKLT, CHECKGT, etc. have an incorrect logic when comparing sizet and int values. Due to type conversion rules, several of the macros would trigger incorrectly. PatchesWe have patched the issue in GitHub commit...

5.5CVSS5.9AI score0.00395EPSS
SaveExploits1References13Affected Software1
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•20 views

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...

5.5CVSS6.1AI score0.0023EPSS
SaveExploits0References9Affected Software1
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•21 views

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...

5.5CVSS6.1AI score0.0023EPSS
SaveExploits0References9Affected Software1
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•23 views

Missing validation results in undefined behavior in `SparseTensorDenseAdd

ImpactThe implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments:pythonimport tensorflow as tfaindices = tf.constant0, shape=17, 2, dtype=tf.int64avalues = tf.constant, shape=0, dtype=tf.float32ashape = tf.constant6, 12, shape=2, dtype=tf.int64b =...

5.5CVSS5.9AI score0.00364EPSS
SaveExploits1References11Affected Software1
OSV
OSV
•added 2026/07/09 4:49 p.m.•14 views

PYSEC-2026-3339 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...

5.5CVSS6.1AI score0.0023EPSS
SaveExploits0References9
OSV
OSV
•added 2026/07/09 4:49 p.m.•31 views

PYSEC-2026-3260 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...

5.5CVSS5.9AI score0.00321EPSS
SaveExploits1References13
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