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CVE archive

May 2021

Browse CVE records published in May 2021, with severity, affected products, CWE, KEV, and source-backed vulnerability context.

Showing 50 of 1909 matching CVEs · Page 30 of 39.

Low · CVSS 2.5

CVE-2021-29549: Division by 0 in `QuantizedAdd`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L289-L295) computes a modulo operation without validating that the divisor is not zero. Since `vector_num_elements` is determined based on input shapes(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L522-L544), a user can trigger scenarios where this quantity is 0. 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.

Published May 14, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29516: Null pointer dereference via invalid Ragged Tensors

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.

Published May 14, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29546: Division by 0 in `QuantizedBiasAdd`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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.

Published May 14, 2021 · Updated Aug 3, 2024

Medium · CVSS 5.7

CVE-2021-29507: dlt-daemon could crash if there is special character in dlt.conf

GENIVI Diagnostic Log and Trace (DLT) provides a log and trace interface. In versions of GENIVI DLT between 2.10.0 and 2.18.6, a configuration file containing the special characters could cause a vulnerable component to crash. All the applications which are using the configuration file could fail to generate their dlt logs in system. As of time of publication, no patch exists. As a workaround, one may check the integrity of information in configuration file manually.

Published May 28, 2021 · Updated Aug 3, 2024

High · CVSS 7.5

CVE-2021-29477: Vulnerability in the STRALGO LCS command

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. An integer overflow bug in Redis version 6.0 or newer could be exploited using the `STRALGO LCS` command to corrupt the heap and potentially result with remote code execution. The problem is fixed in version 6.2.3 and 6.0.13. An additional workaround to mitigate the problem without patching the redis-server executable is to use ACL configuration to prevent clients from using the `STRALGO LCS` command.

Published May 4, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29525: Division by 0 in `Conv2DBackpropInput`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/b40060c9f697b044e3107917c797ba052f4506ab/tensorflow/core/kernels/conv_grad_input_ops.h#L625-L655) does a division by a quantity that is controlled by the caller. 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.

Published May 14, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29538: Division by zero in `Conv2DBackpropFilter`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a division by zero to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L513-L522) computes a divisor based on user provided data (i.e., the shape of the tensors given as arguments). If all shapes are empty then `work_unit_size` is 0. Since there is no check for this case before division, this results in a runtime exception, with potential to be abused for a denial of service. 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.

Published May 14, 2021 · Updated Aug 3, 2024

High · CVSS 7.6

CVE-2021-29489: Options structure open to XSS if passed unfiltered

Highcharts JS is a JavaScript charting library based on SVG. In Highcharts versions 8 and earlier, the chart options structure was not systematically filtered for XSS vectors. The potential impact was that content from untrusted sources could execute code in the end user's browser. The vulnerability is patched in version 9. As a workaround, implementers who are not able to upgrade may apply DOMPurify recursively to the options structure to filter out malicious markup.

Published May 5, 2021 · Updated Aug 3, 2024

Low · CVSS 3.7

CVE-2021-29471: Denial of service in Matrix Synapse

Synapse is a Matrix reference homeserver written in python (pypi package matrix-synapse). Matrix is an ecosystem for open federated Instant Messaging and VoIP. In Synapse before version 1.33.2 "Push rules" can specify conditions under which they will match, including `event_match`, which matches event content against a pattern including wildcards. Certain patterns can cause very poor performance in the matching engine, leading to a denial-of-service when processing moderate length events. The issue is patched in version 1.33.2. A potential workaround might be to prevent users from making custom push rules, by blocking such requests at a reverse-proxy.

Published May 11, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29536: Heap buffer overflow in `QuantizedReshape`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedReshape` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a324ac84e573fba362a5e53d4e74d5de6729933e/tensorflow/core/kernels/quantized_reshape_op.cc#L38-L55) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. 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.

Published May 14, 2021 · Updated Aug 3, 2024

Low · CVSS 3.3

CVE-2021-29510: Use of "infinity" as an input to datetime and date fields causes infinite loop in pydantic

Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `'infinity'`, `'inf'` or `float('inf')` (or their negatives) to `datetime` or `date` fields causes validation to run forever with 100% CPU usage (on one CPU). Pydantic has been patched with fixes available in the following versions: v1.8.2, v1.7.4, v1.6.2. All these versions are available on pypi(https://pypi.org/project/pydantic/#history), and will be available on conda-forge(https://anaconda.org/conda-forge/pydantic) soon. See the changelog(https://pydantic-docs.helpmanual.io/) for details. If you absolutely can't upgrade, you can work around this risk using a validator(https://pydantic-docs.helpmanual.io/usage/validators/) to catch these values. This is not an ideal solution (in particular you'll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic. If you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.

Published May 13, 2021 · Updated Aug 3, 2024

Medium · CVSS 6.5

CVE-2021-29511: Memory over-allocation in evm crate

evm is a pure Rust implementation of Ethereum Virtual Machine. Prior to the patch, when executing specific EVM opcodes related to memory operations that use `evm_core::Memory::copy_large`, the `evm` crate can over-allocate memory when it is not needed, making it possible for an attacker to perform denial-of-service attack. The flaw was corrected in commit `19ade85`. Users should upgrade to `==0.21.1, ==0.23.1, ==0.24.1, ==0.25.1, >=0.26.1`. There are no workarounds. Please upgrade your `evm` crate version.

Published May 12, 2021 · Updated Aug 3, 2024

High · CVSS 7.5

CVE-2021-29509: Keepalive Connections Causing Denial Of Service in puma

Puma is a concurrent HTTP 1.1 server for Ruby/Rack applications. The fix for CVE-2019-16770 was incomplete. The original fix only protected existing connections that had already been accepted from having their requests starved by greedy persistent-connections saturating all threads in the same process. However, new connections may still be starved by greedy persistent-connections saturating all threads in all processes in the cluster. A `puma` server which received more concurrent `keep-alive` connections than the server had threads in its threadpool would service only a subset of connections, denying service to the unserved connections. This problem has been fixed in `puma` 4.3.8 and 5.3.1. Setting `queue_requests false` also fixes the issue. This is not advised when using `puma` without a reverse proxy, such as `nginx` or `apache`, because you will open yourself to slow client attacks (e.g. slowloris). The fix is very small and a git patch is available for those using unsupported versions of Puma.

Published May 11, 2021 · Updated Aug 3, 2024

Medium · CVSS 5.9

CVE-2021-29495: Nim stdlib httpClient does not validate peer certificates by default

Nim is a statically typed compiled systems programming language. In Nim standard library before 1.4.2, httpClient SSL/TLS certificate verification was disabled by default. Users can upgrade to version 1.4.2 to receive a patch or, as a workaround, set "verifyMode = CVerifyPeer" as documented.

Published May 7, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29514: Heap out of bounds write in `RaggedBinCount`

TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L446). Before the `for` loop, `batch_idx` is set to 0. The attacker sets `splits(0)` to be 7, hence the `while` loop does not execute and `batch_idx` remains 0. This then results in writing to `out(-1, bin)`, which is before the heap allocated buffer for the output tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.

Published May 14, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29547: Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc#L176-L189) assumes the inputs are not empty. If any of these inputs is empty, `.flat<T>()` is an empty buffer, so accessing the element at index 0 is accessing data outside of bounds. 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.

Published May 14, 2021 · Updated Aug 3, 2024

High · CVSS 7.5

CVE-2021-29478: Vulnerability in the COPY command for large intsets

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. An integer overflow bug in Redis 6.2 before 6.2.3 could be exploited to corrupt the heap and potentially result with remote code execution. Redis 6.0 and earlier are not directly affected by this issue. The problem is fixed in version 6.2.3. An additional workaround to mitigate the problem without patching the `redis-server` executable is to prevent users from modifying the `set-max-intset-entries` configuration parameter. This can be done using ACL to restrict unprivileged users from using the `CONFIG SET` command.

Published May 4, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29530: Invalid validation in `SparseMatrixSparseCholesky`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference by providing an invalid `permutation` to `tf.raw_ops.SparseMatrixSparseCholesky`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/kernels/sparse/sparse_cholesky_op.cc#L85-L86) fails to properly validate the input arguments. Although `ValidateInputs` is called and there are checks in the body of this function, the code proceeds to the next line in `ValidateInputs` since `OP_REQUIRES`(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/framework/op_requires.h#L41-L48) is a macro that only exits the current function. Thus, the first validation condition that fails in `ValidateInputs` will cause an early return from that function. However, the caller will continue execution from the next line. The fix is to either explicitly check `context->status()` or to convert `ValidateInputs` to return a `Status`. 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.

Published May 14, 2021 · Updated Aug 3, 2024

High · CVSS 7.3

CVE-2021-29502: Remote code execution in the WarnSystem module of Laggrons-Dumb-Cogs

WarnSystem is a cog (plugin) for the Red discord bot. A vulnerability has been found in the code that allows any user to access sensible informations by setting up a specific template which is not properly sanitized. The problem has been patched in version 1.3.18. Users should update and type `!warnsysteminfo` to check that their version is 1.3.18 or above. As a workaround users may unload the WarnSystem cog or disable the `!warnset description` command globally.

Published May 10, 2021 · Updated Aug 3, 2024

Critical · CVSS 9.1

CVE-2021-29508: Insecure deserialization in Wire

Due to how Wire handles type information in its serialization format, malicious payloads can be passed to a deserializer. e.g. using a surrogate on the sender end, an attacker can pass information about a different type for the receiving end. And by doing so allowing the serializer to create any type on the deserializing end. This is the same issue that exists for .NET BinaryFormatter https://docs.microsoft.com/en-us/visualstudio/code-quality/ca2300?view=vs-2019. This also applies to the fork of Wire.

Published May 11, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29542: Heap buffer overflow in `StringNGrams`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow by passing crafted inputs to `tf.raw_ops.StringNGrams`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L171-L185) fails to consider corner cases where input would be split in such a way that the generated tokens should only contain padding elements. If input is such that `num_tokens` is 0, then, for `data_start_index=0` (when left padding is present), the marked line would result in reading `data[-1]`. 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.

Published May 14, 2021 · Updated Aug 3, 2024

Medium · CVSS 4.3

CVE-2021-29488: Creation of files outside the Download Folder through malicious PAR2 files

SABnzbd is an open source binary newsreader. A vulnerability was discovered in SABnzbd that could trick the `filesystem.renamer()` function into writing downloaded files outside the configured Download Folder via malicious PAR2 files. A patch was released as part of SABnzbd 3.2.1RC1. As a workaround, limit downloads to NZBs without PAR2 files, deny write permissions to the SABnzbd process outside areas it must access to perform its job, or update to a fixed version.

Published May 7, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29532: Heap out of bounds read in `RaggedCross`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to `tf.raw_ops.RaggedCross`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efea03b38fb8d3b81762237dc85e579cc5fc6e87/tensorflow/core/kernels/ragged_cross_op.cc#L456-L487) lacks validation for the user supplied arguments. Each of the above branches call a helper function after accessing array elements via a `*_list[next_*]` pattern, followed by incrementing the `next_*` index. However, as there is no validation that the `next_*` values are in the valid range for the corresponding `*_list` arrays, this results in heap OOB reads. 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.

Published May 14, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29531: CHECK-fail in tf.raw_ops.EncodePng

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a `CHECK` fail in PNG encoding by providing an empty input tensor as the pixel data. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L57-L60) only validates that the total number of pixels in the image does not overflow. Thus, an attacker can send an empty matrix for encoding. However, if the tensor is empty, then the associated buffer is `nullptr`. Hence, when calling `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L79-L93), the first argument (i.e., `image.flat<T>().data()`) is `NULL`. This then triggers the `CHECK_NOTNULL` in the first line of `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/lib/png/png_io.cc#L345-L349). Since `image` is null, this results in `abort` being called after printing the stacktrace. Effectively, this allows an attacker to mount a denial of service attack. 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.

Published May 14, 2021 · Updated Aug 3, 2024

High · CVSS 7.5

CVE-2021-29499: Predictable SIF UUID Identifiers

SIF is an open source implementation of the Singularity Container Image Format. The `siftool new` command and func siftool.New() produce predictable UUID identifiers due to insecure randomness in the version of the `github.com/satori/go.uuid` module used as a dependency. A patch is available in version >= v1.2.3 of the module. Users are encouraged to upgrade. As a workaround, users passing CreateInfo struct should ensure the `ID` field is generated using a version of `github.com/satori/go.uuid` that is not vulnerable to this issue.

Published May 7, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29513: Type confusion during tensor casts lead to dereferencing null pointers

TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. 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.

Published May 14, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29520: Heap buffer overflow in `Conv3DBackprop*`

TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. 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.

Published May 14, 2021 · Updated Aug 3, 2024

High · CVSS 8.1

CVE-2021-29503: Improper Neutralization of Script-Related HTML Tags in Notes

HedgeDoc is a platform to write and share markdown. HedgeDoc before version 1.8.2 is vulnerable to a cross-site scripting attack using the YAML-metadata of a note. An attacker with write access to a note can embed HTML tags in the Open Graph metadata section of the note, resulting in the frontend rendering the script tag as part of the `<head>` section. Unless your instance prevents guests from editing notes, this vulnerability allows unauthenticated attackers to inject JavaScript into notes that allow guest edits. If your instance prevents guests from editing notes, this vulnerability allows authenticated attackers to inject JavaScript into any note pages they have write-access to. This vulnerability is patched in version 1.8.2. As a workaround, one can disable guest edits until the next update.

Published May 19, 2021 · Updated Aug 3, 2024

Low · CVSS 2.5

CVE-2021-29529: Heap buffer overflow caused by rounding

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in `tf.raw_ops.QuantizedResizeBilinear` by manipulating input values so that float rounding results in off-by-one error in accessing image elements. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/44b7f486c0143f68b56c34e2d01e146ee445134a/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L62-L66) computes two integers (representing the upper and lower bounds for interpolation) by ceiling and flooring a floating point value. For some values of `in`, `interpolation->upper[i]` might be smaller than `interpolation->lower[i]`. This is an issue if `interpolation->upper[i]` is capped at `in_size-1` as it means that `interpolation->lower[i]` points outside of the image. Then, in the interpolation code(https://github.com/tensorflow/tensorflow/blob/44b7f486c0143f68b56c34e2d01e146ee445134a/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L245-L264), this would result in heap buffer overflow. 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.

Published May 14, 2021 · Updated Aug 3, 2024

High · CVSS 8.1

CVE-2021-29492: Bypass of path matching rules using escaped slash characters

Envoy is a cloud-native edge/middle/service proxy. Envoy does not decode escaped slash sequences `%2F` and `%5C` in HTTP URL paths in versions 1.18.2 and before. A remote attacker may craft a path with escaped slashes, e.g. `/something%2F..%2Fadmin`, to bypass access control, e.g. a block on `/admin`. A backend server could then decode slash sequences and normalize path and provide an attacker access beyond the scope provided for by the access control policy. ### Impact Escalation of Privileges when using RBAC or JWT filters with enforcement based on URL path. Users with back end servers that interpret `%2F` and `/` and `%5C` and `\` interchangeably are impacted. ### Attack Vector URL paths containing escaped slash characters delivered by untrusted client. Patches in versions 1.18.3, 1.17.3, 1.16.4, 1.15.5 contain new path normalization option to decode escaped slash characters. As a workaround, if back end servers treat `%2F` and `/` and `%5C` and `\` interchangeably and a URL path based access control is configured, one may reconfigure the back end server to not treat `%2F` and `/` and `%5C` and `\` interchangeably.

Published May 28, 2021 · Updated Aug 3, 2024

Unknown · CVSS Not scored

CVE-2021-29415: The elliptic curve cryptography (ECC) hardware accelerator, part of the ARM® TrustZone® CryptoCell 310, con...

The elliptic curve cryptography (ECC) hardware accelerator, part of the ARM® TrustZone® CryptoCell 310, contained in the NordicSemiconductor nRF52840 through 2021-03-29 has a non-constant time ECDSA implemenation. This allows an adversary to recover the private ECC key used during an ECDSA operation.

Published May 21, 2021 · Updated Aug 3, 2024

Unknown · CVSS Not scored

CVE-2021-29207: A remote xss vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9;...

A remote xss vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9; HPE Integrated Lights-Out 5 (iLO 5) for HPE Gen10 Servers; HPE SimpliVity 380 Gen10; HPE SimpliVity 2600; HPE SimpliVity 380 Gen10 G; HPE SimpliVity 325; HPE SimpliVity 380 Gen10 H version(s): Prior to version 2.78.

Published May 25, 2021 · Updated Aug 3, 2024

Unknown · CVSS Not scored

CVE-2021-29258: An issue was discovered in Envoy 1.14.0.

An issue was discovered in Envoy 1.14.0. There is a remotely exploitable crash for HTTP2 Metadata, because an empty METADATA map triggers a Reachable Assertion.

Published May 20, 2021 · Updated Aug 3, 2024

Unknown · CVSS Not scored

CVE-2021-29211: A remote xss vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9;...

A remote xss vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9; HPE Integrated Lights-Out 5 (iLO 5) for HPE Gen10 Servers; HPE SimpliVity 380 Gen10; HPE SimpliVity 2600; HPE SimpliVity 380 Gen10 G; HPE SimpliVity 325; HPE SimpliVity 380 Gen10 H version(s): Prior to version 2.78.

Published May 25, 2021 · Updated Aug 3, 2024

Unknown · CVSS Not scored

CVE-2021-29201: A remote xss vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9;...

A remote xss vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9; HPE Integrated Lights-Out 5 (iLO 5) for HPE Gen10 Servers; HPE SimpliVity 380 Gen10; HPE SimpliVity 2600; HPE SimpliVity 380 Gen10 G; HPE SimpliVity 325; HPE SimpliVity 380 Gen10 H version(s): Prior to version 2.78.

Published May 25, 2021 · Updated Aug 3, 2024

Unknown · CVSS Not scored

CVE-2021-29210: A remote dom xss, crlf injection vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE S...

A remote dom xss, crlf injection vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9; HPE Integrated Lights-Out 5 (iLO 5) for HPE Gen10 Servers; HPE SimpliVity 380 Gen10; HPE SimpliVity 2600; HPE SimpliVity 380 Gen10 G; HPE SimpliVity 325; HPE SimpliVity 380 Gen10 H version(s): Prior to version 2.78.

Published May 25, 2021 · Updated Aug 3, 2024