7586 matches found
TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
ImpactThe AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program.pythonimport tensorflow as tfimport numpy as npvalue = np.ones1, 1, 1, 1ksize = 1, 1e20, 1, 1strides = 1, 1, 1, 1padding =...
TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions
ImpactWhen converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process.pythonimport tensorflow as tfclass QuantConv2DTransposedtf.keras.layers.Layer: def buildself, inputshape: self.kernel = self.addweight"kernel", 3, 3,...
PYSEC-2026-3442
Authenticated SSRF in Gravitino JobManager allows server-side HTTP requests to internal network and cloud metadata endpoints via unvalidated job template URIs. A vulnerability in Apache Gravitino.This issue affects Apache Gravitino: from 1.0.0 through 1.2.1.Users are recommended to upgrade to...
PYSEC-2026-3441
URL path injection via unencoded user-supplied identifiers vulnerability in Apache Gravitino.This issue affects Apache Gravitino: from 1.0.0 before 1.2.1.Users are recommended to upgrade to version 1.2.1, which fixes the issue...
PYSEC-0000-CVE-2026-56260
Crawl4AI before 0.8.7 contains an arbitrary file write vulnerability in the Docker API server's /screenshot and /pdf endpoints. The outputpath parameter accepts arbitrary filesystem paths without validation, allowing an attacker to supply absolute or path-traversal values to write to any location...
PYSEC-2026-3449
Crawl4AI before 0.8.7 contains an arbitrary file write vulnerability in the Docker API server's /screenshot and /pdf endpoints. The outputpath parameter accepts arbitrary filesystem paths without validation, allowing an attacker to supply absolute or path-traversal values to write to any location...
PYSEC-0000-CVE-2026-56259
Crawl4AI before 0.8.8 contains credential exfiltration vulnerabilities in the Docker API server that allow attackers to redirect LLM API calls to attacker-controlled endpoints and read arbitrary environment variables. Attackers can exploit the unauthenticated /md, /llm, and /llm/job endpoints by...
PYSEC-2026-3448
Crawl4AI before 0.8.8 contains credential exfiltration vulnerabilities in the Docker API server that allow attackers to redirect LLM API calls to attacker-controlled endpoints and read arbitrary environment variables. Attackers can exploit the unauthenticated /md, /llm, and /llm/job endpoints by...
PYSEC-2026-3725
Prowler is a cloud security platform. Prior to 5.30.3, Prowler's SAML authentication flow trusted the email domain asserted in a SAMLResponse when deciding which tenant should receive the final token, and the ACS finish logic in api/src/backend/api/v1/views.py recalculated the tenant from...
PYSEC-0000-CVE-2026-59151
Prowler is a cloud security platform. Prior to 5.30.3, Prowler's SAML authentication flow trusted the email domain asserted in a SAMLResponse when deciding which tenant should receive the final token, and the ACS finish logic in api/src/backend/api/v1/views.py recalculated the tenant from...
PYSEC-2026-3443
Crawl4AI before 0.8.7 contains a server-side request forgery SSRF vulnerability in the Docker API server's /crawl/job and /llm/job endpoints, which accept webhook URLs without destination validation. An attacker can supply webhook URLs pointing to private or internal IP ranges, Docker networks, o...
TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross`
ImpactIf tf.sparse.cross receives an input separator that is not a scalar, it gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tftf.sparse.crossinputs=,name='a',separator=tf.constant'a', 'b',dtype=tf.string PatchesWe have patched the issue in...
TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross`
ImpactIf tf.sparse.cross receives an input separator that is not a scalar, it gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tftf.sparse.crossinputs=,name='a',separator=tf.constant'a', 'b',dtype=tf.string PatchesWe have patched the issue in...
TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite
ImpactThe ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. PatchesWe have patched the issue in GitHub commit...
TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows
ImpactThe implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor:pythonimport tensorflow as tftf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64This is...
TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation
ImpactThe implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar.pythonimport tensorflow as tftf.rawops.SobolSampledim=tf.constant1,0, numresults=tf.constant1, skip=tf.constant1 PatchesWe...
TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite
ImpactThe ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. PatchesWe have patched the issue in GitHub commit...
TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation
ImpactThe implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar.pythonimport tensorflow as tftf.rawops.SobolSampledim=tf.constant1,0, numresults=tf.constant1, skip=tf.constant1 PatchesWe...
TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite
ImpactThe GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. PatchesWe have patched the issue in GitHub commit...
TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows
ImpactThe implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor:pythonimport tensorflow as tftf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64This is...
TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite
ImpactThe GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. PatchesWe have patched the issue in GitHub commit...
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...
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...
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...
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...
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...
Microsoft: CBC Padding Oracle in Azure Blob Storage Encryption Library
SummaryThe Azure Storage Encryption library in Java and other languages is vulnerable to a CBC Padding Oracle attack, similar to CVE-2020-8911. The library is not vulnerable to the equivalent of CVE-2020-8912, but only because it currently only supports AES-CBC as encryption mode. SeverityModerat...
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...
Uncontrolled Resource Consumption in asyncua and opcua
All versions of package opcua; all versions of package asyncua are vulnerable to Denial of Service DoS due to a missing limitation on the number of received chunks - per single session or in total for all concurrent sessions. An attacker can exploit this vulnerability by sending an unlimited numb...
TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`
ImpactWhen Conv2DBackpropInput receives empty outbackprop inputs e.g. 3, 1, 0, 1, the current CPU/GPU kernels CHECK fail one with dnnl, the other with cudnn. This can be used to trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as npinputsizes = 3, 1, 1, 2filter =...
TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`
ImpactWhen Conv2DBackpropInput receives empty outbackprop inputs e.g. 3, 1, 0, 1, the current CPU/GPU kernels CHECK fail one with dnnl, the other with cudnn. This can be used to trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as npinputsizes = 3, 1, 1, 2filter =...
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 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...
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...
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...
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...
Undefined behavior when users supply invalid resource handles
ImpactMultiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid:pythonimport tensorflow as tftf.rawops.QueueIsClosedV2handle=pythonimport tensorflow as tftf.summary.flushwriter= In graph mode, it would have been impossible to perform these API...
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...
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...
Undefined behavior when users supply invalid resource handles
ImpactMultiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid:pythonimport tensorflow as tftf.rawops.QueueIsClosedV2handle=pythonimport tensorflow as tftf.summary.flushwriter= In graph mode, it would have been impossible to perform these API...
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 =...
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...
Missing validation causes denial of service via `Conv3DBackpropFilterV2`
ImpactThe implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tftf.strings.unsortedsegmentjoin inputs='123', segmentids=0, numsegments=-1The...
Segfault due to missing support for quantized types
ImpactThere is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x:pythonimport numpy as npimport tensorflow as...
Denial of service in `tf.ragged.constant` due to lack of validation
ImpactThe implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory:pythonimport tensorflow as tftf.ragged.constantpylist=,raggedrank=8968073515812833920 PatchesWe have patched the issue in GitHub commit...
Denial of service in `tf.ragged.constant` due to lack of validation
ImpactThe implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory:pythonimport tensorflow as tftf.ragged.constantpylist=,raggedrank=8968073515812833920 PatchesWe have patched the issue in GitHub commit...
Segfault due to missing support for quantized types
ImpactThere is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x:pythonimport numpy as npimport tensorflow as...
Integer overflow in `SpaceToBatchND`
ImpactThe implementation of tf.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow:pythonimport tensorflow as tfinput = tf.constant-3.5e+35, shape=10,19,22, dtype=tf.float32blockshape = tf.constant-1879048192, shape=2,...
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 =...
Integer overflow in `SpaceToBatchND`
ImpactThe implementation of tf.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow:pythonimport tensorflow as tfinput = tf.constant-3.5e+35, shape=10,19,22, dtype=tf.float32blockshape = tf.constant-1879048192, shape=2,...