Total
210374 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-25978 | 1 Apostrophecms | 1 Apostrophecms | 2021-11-09 | 3.5 LOW | 5.4 MEDIUM |
| Apostrophe CMS versions between 2.63.0 to 3.3.1 are vulnerable to Stored XSS where an editor uploads an SVG file that contains malicious JavaScript onto the Images module, which triggers XSS once viewed. | |||||
| CVE-2021-41206 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2020-9272 | 3 Opensuse, Proftpd, Siemens | 7 Backports Sle, Leap, Proftpd and 4 more | 2021-11-09 | 5.0 MEDIUM | 7.5 HIGH |
| ProFTPD 1.3.7 has an out-of-bounds (OOB) read vulnerability in mod_cap via the cap_text.c cap_to_text function. | |||||
| CVE-2016-9795 | 6 Broadcom, Ca, Hp and 3 more | 10 Ca Workload Automation Ae, Client Automation, Systemedge and 7 more | 2021-11-09 | 7.2 HIGH | 7.8 HIGH |
| The casrvc program in CA Common Services, as used in CA Client Automation 12.8, 12.9, and 14.0; CA SystemEDGE 5.8.2 and 5.9; CA Systems Performance for Infrastructure Managers 12.8 and 12.9; CA Universal Job Management Agent 11.2; CA Virtual Assurance for Infrastructure Managers 12.8 and 12.9; CA Workload Automation AE 11, 11.3, 11.3.5, and 11.3.6 on AIX, HP-UX, Linux, and Solaris allows local users to modify arbitrary files and consequently gain root privileges via vectors related to insufficient validation. | |||||
| CVE-2021-41200 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions if `tf.summary.create_file_writer` is called with non-scalar arguments code crashes due to a `CHECK`-fail. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-41199 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions if `tf.image.resize` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-41215 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `DeserializeSparse` can trigger a null pointer dereference. This is because the shape inference function assumes that the `serialize_sparse` tensor is a tensor with positive rank (and having `3` as the last dimension). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-41214 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` has an undefined behavior due to binding a reference to `nullptr`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-41219 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-41217 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the process of building the control flow graph for a TensorFlow model is vulnerable to a null pointer exception when nodes that should be paired are not. This occurs because the code assumes that the first node in the pairing (e.g., an `Enter` node) always exists when encountering the second node (e.g., an `Exit` node). When this is not the case, `parent` is `nullptr` so dereferencing it causes a crash. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-41210 | 1 Google | 1 Tensorflow | 2021-11-09 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for `SparseCountSparseOutput` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-41201 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-25509 | 1 Samsung | 1 Samsung Flow | 2021-11-09 | 3.6 LOW | 7.1 HIGH |
| A missing input validation in Samsung Flow Windows application prior to Version 4.8.5.0 allows attackers to overwrite abtraty file in the Windows known folders. | |||||
| CVE-2021-25508 | 1 Samsung | 1 Smartthings | 2021-11-09 | 7.5 HIGH | 9.8 CRITICAL |
| Improper privilege management vulnerability in API Key used in SmartThings prior to 1.7.73.22 allows an attacker to abuse the API key without limitation. | |||||
| CVE-2021-41216 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-25506 | 1 Samsung | 1 Health | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| Non-existent provider in Samsung Health prior to 6.19.1.0001 allows attacker to access it via malicious content provider or lead to denial of service. | |||||
| CVE-2021-41249 | 1 Graphql | 1 Playground | 2021-11-09 | 2.6 LOW | 4.7 MEDIUM |
| GraphQL Playground is a GraphQL IDE for development of graphQL focused applications. All versions of graphql-playground-react older than graphql-playground-react@1.7.28 are vulnerable to compromised HTTP schema introspection responses or schema prop values with malicious GraphQL type names, exposing a dynamic XSS attack surface that can allow code injection on operation autocomplete. In order for the attack to take place, the user must load a malicious schema in graphql-playground. There are several ways this can occur, including by specifying the URL to a malicious schema in the endpoint query parameter. If a user clicks on a link to a GraphQL Playground installation that specifies a malicious server, arbitrary JavaScript can run in the user's browser, which can be used to exfiltrate user credentials or other harmful goals. If you are using graphql-playground-react directly in your client app, upgrade to version 1.7.28 or later. | |||||
| CVE-2021-41204 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-28023 | 1 Servicetonic | 1 Servicetonic | 2021-11-09 | 7.5 HIGH | 9.8 CRITICAL |
| Arbitrary file upload in Service import feature in ServiceTonic Helpdesk software version < 9.0.35937 allows a malicious user to execute JSP code by uploading a zip that extracts files in relative paths. | |||||
| CVE-2021-41248 | 1 Graphql | 1 Graphiql | 2021-11-09 | 2.6 LOW | 4.7 MEDIUM |
| GraphiQL is the reference implementation of this monorepo, GraphQL IDE, an official project under the GraphQL Foundation. All versions of graphiql older than graphiql@1.4.7 are vulnerable to compromised HTTP schema introspection responses or schema prop values with malicious GraphQL type names, exposing a dynamic XSS attack surface that can allow code injection on operation autocomplete. In order for the attack to take place, the user must load a vulnerable schema in graphiql. There are a number of ways that can occur. By default, the schema URL is not attacker-controllable in graphiql or in its suggested implementations or examples, leaving only very complex attack vectors. If a custom implementation of graphiql's fetcher allows the schema URL to be set dynamically, such as a URL query parameter like ?endpoint= in graphql-playground, or a database provided value, then this custom graphiql implementation is vulnerable to phishing attacks, and thus much more readily available, low or no privelege level xss attacks. The URLs could look like any generic looking graphql schema URL. It should be noted that desktop clients such as Altair, Insomnia, Postwoman, do not appear to be impacted by this. This vulnerability does not impact codemirror-graphql, monaco-graphql or other dependents, as it exists in onHasCompletion.ts in graphiql. It does impact all forks of graphiql, and every released version of graphiql. | |||||