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Total
46623 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2020-21835 | 1 Gnu | 1 Libredwg | 2021-05-21 | 4.3 MEDIUM | 6.5 MEDIUM |
| A null pointer deference issue exists in GNU LibreDWG 0.10 via read_2004_compressed_section ../../src/decode.c:2337. | |||||
| CVE-2020-27149 | 1 Moxa | 6 Nport Ia5150a, Nport Ia5150a Firmware, Nport Ia5250a and 3 more | 2021-05-21 | 4.0 MEDIUM | 6.5 MEDIUM |
| By exploiting a vulnerability in NPort IA5150A/IA5250A Series before version 1.5, a user with “Read Only” privilege level can send requests via the web console to have the device’s configuration changed. | |||||
| CVE-2021-24277 | 1 Wpuslugi | 1 Rss For Yandex Turbo | 2021-05-21 | 3.5 LOW | 5.4 MEDIUM |
| The RSS for Yandex Turbo WordPress plugin before 1.30 did not properly sanitise the user inputs from its Счетчики settings tab before outputting them back in the page, leading to authenticated stored Cross-Site Scripting issues | |||||
| CVE-2021-31339 | 1 Mendix | 1 Excel Importer | 2021-05-21 | 4.0 MEDIUM | 4.3 MEDIUM |
| A vulnerability has been identified in Mendix Excel Importer Module (All versions < V9.0.3). Uploading a manipulated XML File results in an exception that could expose information about the Application-Server and the used XML-Framework. | |||||
| CVE-2021-24283 | 1 Pickplugins | 1 Accordion | 2021-05-21 | 3.5 LOW | 5.4 MEDIUM |
| The tab GET parameter of the settings page is not sanitised or escaped when being output back in an HTML attribute, leading to a reflected XSS issue. | |||||
| CVE-2021-22152 | 1 Blackberry | 1 Unified Endpoint Management | 2021-05-21 | 2.1 LOW | 5.5 MEDIUM |
| A Denial of Service due to Improper Input Validation vulnerability in the Management Console component of BlackBerry UEM version(s) 12.13.1 QF2 and earlier and 12.12.1a QF6 and earlier could allow an attacker to potentially to prevent any new user connections. | |||||
| CVE-2021-32573 | 1 Express-cart Project | 1 Express-cart | 2021-05-21 | 3.5 LOW | 4.8 MEDIUM |
| ** DISPUTED ** The express-cart package through 1.1.10 for Node.js allows Reflected XSS (for an admin) via a user input field for product options. NOTE: the vendor states that this "would rely on an admin hacking his/her own website." | |||||
| CVE-2021-29502 | 1 Warnsystem Project | 1 Warnsystem | 2021-05-21 | 4.0 MEDIUM | 6.5 MEDIUM |
| 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. | |||||
| CVE-2021-27815 | 2 Fedoraproject, Libexif Project | 2 Fedora, Exif | 2021-05-21 | 4.3 MEDIUM | 5.5 MEDIUM |
| NULL Pointer Deference in the exif command line tool, when printing out XML formatted EXIF data, in exif v0.6.22 and earlier allows attackers to cause a Denial of Service (DoS) by uploading a malicious JPEG file, causing the application to crash. | |||||
| CVE-2019-18978 | 3 Canonical, Debian, Rack-cors Project | 3 Ubuntu Linux, Debian Linux, Rack-cors | 2021-05-21 | 5.0 MEDIUM | 5.3 MEDIUM |
| An issue was discovered in the rack-cors (aka Rack CORS Middleware) gem before 1.0.4 for Ruby. It allows ../ directory traversal to access private resources because resource matching does not ensure that pathnames are in a canonical format. | |||||
| CVE-2021-22139 | 1 Elastic | 1 Kibana | 2021-05-21 | 4.0 MEDIUM | 6.5 MEDIUM |
| Kibana versions before 7.12.1 contain a denial of service vulnerability was found in the webhook actions due to a lack of timeout or a limit on the request size. An attacker with permissions to create webhook actions could drain the Kibana host connection pool, making Kibana unavailable for all other users. | |||||
| CVE-2020-24982 | 1 Quadbase | 1 Espressdashboard | 2021-05-21 | 4.3 MEDIUM | 4.3 MEDIUM |
| An issue was discovered in Quadbase ExpressDashboard (EDAB) 7 Update 9. It allows CSRF. An attacker may be able to trick an authenticated user into changing the email address associated with their account. | |||||
| CVE-2018-11797 | 3 Apache, Fedoraproject, Oracle | 3 Pdfbox, Fedora, Retail Xstore Point Of Service | 2021-05-21 | 4.3 MEDIUM | 5.5 MEDIUM |
| In Apache PDFBox 1.8.0 to 1.8.15 and 2.0.0RC1 to 2.0.11, a carefully crafted PDF file can trigger an extremely long running computation when parsing the page tree. | |||||
| CVE-2019-19026 | 2 Linuxfoundation, Pivotal | 2 Harbor, Vmware Harbor Registry | 2021-05-21 | 4.0 MEDIUM | 4.9 MEDIUM |
| Cloud Native Computing Foundation Harbor prior to 1.8.6 and 1.9.3 allows SQL Injection via project quotas in the VMware Harbor Container Registry for the Pivotal Platform. | |||||
| CVE-2021-3411 | 2 Linux, Redhat | 2 Linux Kernel, Enterprise Linux | 2021-05-21 | 4.6 MEDIUM | 6.7 MEDIUM |
| A flaw was found in the Linux kernel in versions prior to 5.10. A violation of memory access was found while detecting a padding of int3 in the linking state. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability. | |||||
| CVE-2021-24271 | 1 Brainstormforce | 1 Ultimate Addons For Elementor | 2021-05-21 | 3.5 LOW | 5.4 MEDIUM |
| The “Ultimate Addons for Elementor” WordPress Plugin before 1.30.0 has several widgets that are vulnerable to stored Cross-Site Scripting (XSS) by lower-privileged users such as contributors, all via a similar method. | |||||
| CVE-2020-18167 | 1 Laobancms | 1 Laobancms | 2021-05-21 | 3.5 LOW | 4.8 MEDIUM |
| Cross Site Scripting (XSS) in LAOBANCMS v2.0 allows remote attackers to execute arbitrary code by injecting commands into the "Homepage Introduction" field of component "admin/info.php?shuyu". | |||||
| CVE-2020-23689 | 1 Yfcmf | 1 Yfcmf | 2021-05-21 | 3.5 LOW | 4.8 MEDIUM |
| In YFCMF v2.3.1, there is a stored XSS vulnerability in the comments section of the news page. | |||||
| CVE-2020-17891 | 1 Tp-link | 2 Archer C1200, Archer C1200 Firmware | 2021-05-21 | 4.3 MEDIUM | 6.1 MEDIUM |
| 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. | |||||
| CVE-2020-16632 | 1 Dedecms | 1 Dedecms | 2021-05-21 | 3.5 LOW | 5.4 MEDIUM |
| A XSS Vulnerability in /uploads/dede/action_search.php in DedeCMS V5.7 SP2 allows an authenticated user to execute remote arbitrary code via the keyword parameter. | |||||
| CVE-2017-1304 | 1 Ibm | 1 Elastic Storage Server | 2021-05-21 | 4.6 MEDIUM | 6.2 MEDIUM |
| IBM has identified a vulnerability with IBM Spectrum Scale/GPFS utilized on the Elastic Storage Server (ESS)/GPFS Storage Server (GSS) during testing of an unsupported configuration, where users applications are running on an active ESS I/O server node and utilize direct I/O to perform a read or a write to a Spectrum Scale file. This vulnerability may result in the use of an incorrect memory address, leading to a Spectrum Scale/GPFS daemon failure with a Signal 11, and possibly leading to denial of service or undetected data corruption. IBM X-Force ID: 125458. | |||||
| CVE-2020-27825 | 3 Debian, Linux, Redhat | 4 Debian Linux, Linux Kernel, Enterprise Linux and 1 more | 2021-05-21 | 5.4 MEDIUM | 5.7 MEDIUM |
| A use-after-free flaw was found in kernel/trace/ring_buffer.c in Linux kernel (before 5.10-rc1). There was a race problem in trace_open and resize of cpu buffer running parallely on different cpus, may cause a denial of service problem (DOS). This flaw could even allow a local attacker with special user privilege to a kernel information leak threat. | |||||
| CVE-2020-13946 | 1 Apache | 1 Cassandra | 2021-05-21 | 4.3 MEDIUM | 5.9 MEDIUM |
| In Apache Cassandra, all versions prior to 2.1.22, 2.2.18, 3.0.22, 3.11.8 and 4.0-beta2, it is possible for a local attacker without access to the Apache Cassandra process or configuration files to manipulate the RMI registry to perform a man-in-the-middle attack and capture user names and passwords used to access the JMX interface. The attacker can then use these credentials to access the JMX interface and perform unauthorised operations. Users should also be aware of CVE-2019-2684, a JRE vulnerability that enables this issue to be exploited remotely. | |||||
| CVE-2018-12981 | 1 Wago | 8 762-3000, 762-3000 Firmware, 762-3001 and 5 more | 2021-05-20 | 3.5 LOW | 5.4 MEDIUM |
| An issue was discovered on WAGO e!DISPLAY 762-3000 through 762-3003 devices with firmware before FW 02. The vulnerability can be exploited by authenticated and unauthenticated users by sending special crafted requests to the web server allowing injecting code within the WBM. The code will be rendered and/or executed in the browser of the user's browser. | |||||
| CVE-2018-12979 | 1 Wago | 8 762-3000, 762-3000 Firmware, 762-3001 and 5 more | 2021-05-20 | 5.5 MEDIUM | 6.5 MEDIUM |
| An issue was discovered on WAGO e!DISPLAY 762-3000 through 762-3003 devices with firmware before FW 02. Weak permissions allow an authenticated user to overwrite critical files by abusing the unrestricted file upload in the WBM. | |||||
| CVE-2021-20535 | 1 Ibm | 1 Jazz Reporting Service | 2021-05-20 | 5.5 MEDIUM | 5.4 MEDIUM |
| IBM Jazz Reporting Service 6.0.6.1, 7.0, 7.0.1, and 7.0.2 is vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks. IBM X-Force ID: 198834. | |||||
| CVE-2021-20994 | 1 Wago | 10 0852-0303, 0852-0303 Firmware, 0852-1305 and 7 more | 2021-05-20 | 4.3 MEDIUM | 6.1 MEDIUM |
| In multiple managed switches by WAGO in different versions an attacker may trick a legitimate user to click a link to inject possible malicious code into the Web-Based Management. | |||||
| CVE-2021-20996 | 1 Wago | 10 0852-0303, 0852-0303 Firmware, 0852-1305 and 7 more | 2021-05-20 | 5.0 MEDIUM | 5.3 MEDIUM |
| In multiple managed switches by WAGO in different versions special crafted requests can lead to cookies being transferred to third parties. | |||||
| CVE-2021-20993 | 1 Wago | 10 0852-0303, 0852-0303 Firmware, 0852-1305 and 7 more | 2021-05-20 | 5.0 MEDIUM | 5.3 MEDIUM |
| In multiple managed switches by WAGO in different versions the activated directory listing provides an attacker with the index of the resources located inside the directory. | |||||
| CVE-2021-20392 | 1 Ibm | 1 Qradar User Behavior Analytics | 2021-05-20 | 4.3 MEDIUM | 6.1 MEDIUM |
| IBM QRadar User Behavior Analytics 1.0.0 through 4.0.1 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. | |||||
| CVE-2021-31341 | 1 Mendix | 1 Database Replication | 2021-05-20 | 4.0 MEDIUM | 4.3 MEDIUM |
| Uploading a table mapping using a manipulated XML file results in an exception that could expose information about the application-server and the used XML-framework on the Mendix Database Replication Module (All versions prior to v7.0.1). | |||||
| CVE-2021-3457 | 1 Theforeman | 1 Smart Proxy Shell Hooks | 2021-05-20 | 3.6 LOW | 6.1 MEDIUM |
| An improper authorization handling flaw was found in Foreman. The Shellhooks plugin for the smart-proxy allows Foreman clients to execute actions that should be limited to the Foreman Server. This flaw allows an authenticated local attacker to access and delete limited resources and also causes a denial of service on the Foreman server. The highest threat from this vulnerability is to integrity and system availability. | |||||
| CVE-2021-20564 | 1 Ibm | 1 Cloud Pak For Security | 2021-05-20 | 4.3 MEDIUM | 5.9 MEDIUM |
| IBM Cloud Pak for Security (CP4S) 1.4.0.0, 1.5.0.0, 1.5.0.1, 1.6.0.0, and 1.6.0.1 could allow a remote attacker to obtain sensitive information, caused by the failure to properly enable HTTP Strict Transport Security. An attacker could exploit this vulnerability to obtain sensitive information using man in the middle techniques. IBM X-Force ID: 199235. | |||||
| CVE-2021-20565 | 1 Ibm | 1 Cloud Pak For Security | 2021-05-20 | 5.0 MEDIUM | 5.3 MEDIUM |
| IBM Cloud Pak for Security (CP4S) 1.4.0.0, 1.5.0.0, 1.5.0.1, 1.6.0.0, and 1.6.0.1 uses a protection mechanism that relies on the existence or values of an input, but the input can be modified by an untrusted actor in a way that bypasses the protection mechanism. IBM X-Force ID: 199236. | |||||
| CVE-2021-29519 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. The API of `tf.raw_ops.SparseCross` allows combinations which would result in a `CHECK`-failure and denial of service. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorflow/core/kernels/sparse_cross_op.cc#L114-L116) is tricked to consider a tensor of type `tstring` which in fact contains integral elements. Fixing the type confusion by preventing mixing `DT_STRING` and `DT_INT64` types solves this issue. 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. | |||||
| CVE-2021-29521 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in `tf.raw_ops.SparseCountSparseOutput` results in a segmentation fault being thrown out from the standard library as `std::vector` invariants are broken. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L199-L213) assumes the first element of the dense shape is always positive and uses it to initialize a `BatchedMap<T>` (i.e., `std::vector<absl::flat_hash_map<int64,T>>`(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L27)) data structure. If the `shape` tensor has more than one element, `num_batches` is the first value in `shape`. Ensuring that the `dense_shape` argument is a valid tensor shape (that is, all elements are non-negative) solves this issue. 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. | |||||
| CVE-2021-29522 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. The `tf.raw_ops.Conv3DBackprop*` operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a91bb59769f19146d5a0c20060244378e878f140/tensorflow/core/kernels/conv_grad_ops_3d.cc#L430-L450) does not check that the divisor used in computing the shard size is not zero. Thus, if attacker controls the input sizes, they can trigger a denial of service via a division by zero error. 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. | |||||
| CVE-2021-29523 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| 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. | |||||
| CVE-2021-29565 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.SparseFillEmptyRows`. This is because of missing validation(https://github.com/tensorflow/tensorflow/blob/fdc82089d206e281c628a93771336bf87863d5e8/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L230-L231) that was covered under a `TODO`. If the `dense_shape` tensor is empty, then `dense_shape_t.vec<>()` would cause a null pointer dereference in the implementation of the op. 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. | |||||
| CVE-2021-29564 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.EditDistance`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters. 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. | |||||
| CVE-2021-29517 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. A malicious user could trigger a division by 0 in `Conv3D` implementation. The implementation(https://github.com/tensorflow/tensorflow/blob/42033603003965bffac51ae171b51801565e002d/tensorflow/core/kernels/conv_ops_3d.cc#L143-L145) does a modulo operation based on user controlled input. Thus, when `filter` has a 0 as the fifth element, this results in a division by 0. Additionally, if the shape of the two tensors is not valid, an Eigen assertion can be triggered, resulting in a program crash. 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. | |||||
| CVE-2021-29524 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/496c2630e51c1a478f095b084329acedb253db6b/tensorflow/core/kernels/conv_grad_shape_utils.cc#L130) does a modulus operation where the divisor 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. | |||||
| CVE-2021-29541 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null pointer in `tf.raw_ops.StringNGrams`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L67-L74) does not fully validate the `data_splits` argument. This would result in `ngrams_data`(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L106-L110) to be a null pointer when the output would be computed to have 0 or negative size. Later writes to the output tensor would then cause a null pointer dereference. 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. | |||||
| CVE-2021-29526 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/988087bd83f144af14087fe4fecee2d250d93737/tensorflow/core/kernels/conv_ops.cc#L261-L263) 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. | |||||
| CVE-2021-29528 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedMul`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55900e961ed4a23b438392024912154a2c2f5e85/tensorflow/core/kernels/quantized_mul_op.cc#L188-L198) 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. | |||||
| CVE-2021-29516 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| 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. | |||||
| CVE-2021-29554 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. 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. | |||||
| CVE-2021-29527 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedConv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/00e9a4d67d76703fa1aee33dac582acf317e0e81/tensorflow/core/kernels/quantized_conv_ops.cc#L257-L259) 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. | |||||
| CVE-2021-29531 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| 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. | |||||
| CVE-2021-29584 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| 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 caused by an integer overflow in constructing a new tensor shape. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/0908c2f2397c099338b901b067f6495a5b96760b/tensorflow/core/kernels/sparse_split_op.cc#L66-L70) builds a dense shape without checking that the dimensions would not result in overflow. 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. | |||||