mirror of
https://github.com/CVEProject/cvelist.git
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"-Synchronized-Data."
This commit is contained in:
CVE Team
parent
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{
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"data_type": "CVE",
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"data_format": "MITRE",
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"data_version": "4.0",
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"CVE_data_meta": {
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"ID": "CVE-2020-17891",
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"ASSIGNER": "cve@mitre.org",
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"STATE": "RESERVED"
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"ID": "CVE-2020-17891",
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"STATE": "PUBLIC"
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},
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"affects": {
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"vendor": {
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"vendor_data": [
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{
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"product": {
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"product_data": [
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{
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"product_name": "n/a",
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"version": {
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"version_data": [
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{
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"version_value": "n/a"
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}
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]
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}
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}
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]
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},
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"vendor_name": "n/a"
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}
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]
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}
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},
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"data_format": "MITRE",
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"data_type": "CVE",
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"data_version": "4.0",
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"description": {
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"description_data": [
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{
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"lang": "eng",
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"value": "** RESERVED ** This candidate has been reserved by an organization or individual that will use it when announcing a new security problem. When the candidate has been publicized, the details for this candidate will be provided."
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"value": "TP-Link Archer C1200 firmware version 1.13 Build 2018/01/24 rel.52299 EU has a XSS vulnerability allowing a remote attacker to execute arbitrary code."
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}
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]
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},
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"problemtype": {
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"problemtype_data": [
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{
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"description": [
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{
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"lang": "eng",
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"value": "n/a"
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}
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]
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}
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]
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},
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"references": {
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"reference_data": [
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{
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"url": "https://github.com/sandboxescape/TP-Link-wireless-router-Archer-C1200---Cross-Site-Scripting/",
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"refsource": "MISC",
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"name": "https://github.com/sandboxescape/TP-Link-wireless-router-Archer-C1200---Cross-Site-Scripting/"
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}
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]
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}
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@ -4,14 +4,58 @@
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"data_version": "4.0",
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"CVE_data_meta": {
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"ID": "CVE-2020-27769",
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"ASSIGNER": "cve@mitre.org",
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"STATE": "RESERVED"
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"ASSIGNER": "secalert@redhat.com",
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"STATE": "PUBLIC"
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},
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"affects": {
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"vendor": {
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"vendor_data": [
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{
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"vendor_name": "n/a",
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"product": {
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"product_data": [
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{
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"product_name": "ImageMagick",
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"version": {
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"version_data": [
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{
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"version_value": "ImageMagick versions before 7.0.9-0"
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}
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]
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}
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}
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]
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}
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}
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]
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}
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},
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"problemtype": {
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"problemtype_data": [
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{
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"description": [
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{
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"lang": "eng",
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"value": "CWE-190"
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}
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]
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}
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]
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},
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"references": {
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"reference_data": [
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{
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"refsource": "MISC",
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"name": "https://bugzilla.redhat.com/show_bug.cgi?id=1894690",
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"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1894690"
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}
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]
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},
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"description": {
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"description_data": [
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{
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"lang": "eng",
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"value": "** RESERVED ** This candidate has been reserved by an organization or individual that will use it when announcing a new security problem. When the candidate has been publicized, the details for this candidate will be provided."
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"value": "In ImageMagick versions before 7.0.9-0, there are outside the range of representable values of type 'float' at MagickCore/quantize.c."
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}
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]
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}
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@ -72,15 +72,15 @@
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},
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"references": {
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"reference_data": [
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{
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"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8h46-5m9h-7553",
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"refsource": "CONFIRM",
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"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8h46-5m9h-7553"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8h46-5m9h-7553",
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"refsource": "CONFIRM",
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"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8h46-5m9h-7553"
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}
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]
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},
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@ -44,7 +44,7 @@
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"description_data": [
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{
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"lang": "eng",
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"value": "TensorFlow is an end-to-end open source platform for machine learning. Calling `tf.raw_ops.RaggedTensorToVariant` with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of `RaggedTensorToVariant` operations(https://github.com/tensorflow/tensorflow/blob/904b3926ed1c6c70380d5313d282d248a776baa1/tensorflow/core/kernels/ragged_tensor_to_variant_op.cc#L39-L40) does not validate that the ragged tensor argument is non-empty. Since `batched_ragged` contains no elements, `batched_ragged.splits` is a null vector, thus `batched_ragged.splits(0)` will result in dereferencing `nullptr`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
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"value": "TensorFlow is an end-to-end open source platform for machine learning. Calling `tf.raw_ops.RaggedTensorToVariant` with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of `RaggedTensorToVariant` operations(https://github.com/tensorflow/tensorflow/blob/904b3926ed1c6c70380d5313d282d248a776baa1/tensorflow/core/kernels/ragged_tensor_to_variant_op.cc#L39-L40) does not validate that the ragged tensor argument is non-empty. Since `batched_ragged` contains no elements, `batched_ragged.splits` is a null vector, thus `batched_ragged.splits(0)` will result in dereferencing `nullptr`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
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}
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]
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},
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@ -44,7 +44,7 @@
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"description_data": [
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{
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"lang": "eng",
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"value": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.AddManySparseToTensorsMap`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/kernels/sparse_tensors_map_ops.cc#L257) takes the values specified in `sparse_shape` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
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"value": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.AddManySparseToTensorsMap`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/kernels/sparse_tensors_map_ops.cc#L257) takes the values specified in `sparse_shape` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
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}
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]
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},
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@ -78,15 +78,15 @@
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},
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"references": {
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"reference_data": [
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{
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"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2cpx-427x-q2c6",
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"refsource": "CONFIRM",
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"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2cpx-427x-q2c6"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/commit/69c68ecbb24dff3fa0e46da0d16c821a2dd22d7c",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/commit/69c68ecbb24dff3fa0e46da0d16c821a2dd22d7c"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2cpx-427x-q2c6",
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"refsource": "CONFIRM",
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"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2cpx-427x-q2c6"
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}
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]
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},
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@ -44,7 +44,7 @@
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"description_data": [
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{
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"lang": "eng",
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"value": "TensorFlow is an end-to-end open source platform for machine learning. The implementation of TrySimplify(https://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc#L390-L401) has undefined behavior due to dereferencing a null pointer in corner cases that\nresult in optimizing a node with no inputs. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
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"value": "TensorFlow is an end-to-end open source platform for machine learning. The implementation of TrySimplify(https://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc#L390-L401) has undefined behavior due to dereferencing a null pointer in corner cases that result in optimizing a node with no inputs. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
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}
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]
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},
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@ -44,7 +44,7 @@
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"description_data": [
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{
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"lang": "eng",
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"value": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via `CHECK`-fail in `tf.strings.substr` with invalid arguments. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
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"value": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via `CHECK`-fail in `tf.strings.substr` with invalid arguments. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
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}
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]
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},
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@ -4,14 +4,68 @@
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"data_version": "4.0",
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"CVE_data_meta": {
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"ID": "CVE-2021-3537",
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"ASSIGNER": "cve@mitre.org",
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"STATE": "RESERVED"
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"ASSIGNER": "secalert@redhat.com",
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"STATE": "PUBLIC"
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},
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"affects": {
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"vendor": {
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"vendor_data": [
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{
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"vendor_name": "n/a",
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"product": {
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"product_data": [
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{
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"product_name": "libxml2",
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"version": {
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"version_data": [
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{
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"version_value": "libxml2 2.9.11"
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}
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]
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}
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}
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]
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}
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}
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]
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}
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},
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"problemtype": {
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"problemtype_data": [
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{
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"description": [
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{
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"lang": "eng",
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"value": "CWE-476"
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}
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]
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}
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]
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},
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"references": {
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"reference_data": [
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{
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"refsource": "FEDORA",
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"name": "FEDORA-2021-e3ed1ba38b",
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"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/QVM4UJ3376I6ZVOYMHBNX4GY3NIV52WV/"
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},
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{
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"refsource": "MLIST",
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"name": "[debian-lts-announce] 20210510 [SECURITY] [DLA 2653-1] libxml2 security update",
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"url": "https://lists.debian.org/debian-lts-announce/2021/05/msg00008.html"
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},
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{
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"refsource": "MISC",
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"name": "https://bugzilla.redhat.com/show_bug.cgi?id=1956522",
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"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1956522"
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}
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]
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},
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"description": {
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"description_data": [
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{
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"lang": "eng",
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"value": "** RESERVED ** This candidate has been reserved by an organization or individual that will use it when announcing a new security problem. When the candidate has been publicized, the details for this candidate will be provided."
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"value": "A vulnerability found in libxml2 in versions before 2.9.11 shows that it did not propagate errors while parsing XML mixed content, causing a NULL dereference. If an untrusted XML document was parsed in recovery mode and post-validated, the flaw could be used to crash the application. The highest threat from this vulnerability is to system availability."
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}
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]
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}
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