Total
11158 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2020-15503 | 3 Debian, Fedoraproject, Libraw | 3 Debian Linux, Fedora, Libraw | 2024-11-21 | 5.0 MEDIUM | 7.5 HIGH |
| LibRaw before 0.20-RC1 lacks a thumbnail size range check. This affects decoders/unpack_thumb.cpp, postprocessing/mem_image.cpp, and utils/thumb_utils.cpp. For example, malloc(sizeof(libraw_processed_image_t)+T.tlength) occurs without validating T.tlength. | |||||
| CVE-2020-15379 | 1 Broadcom | 1 Brocade Sannav | 2024-11-21 | 5.0 MEDIUM | 7.5 HIGH |
| Brocade SANnav before v.2.1.0a could allow remote attackers cause a denial-of-service condition due to a lack of proper validation, of the length of user-supplied data as name for custom field name. | |||||
| CVE-2020-15375 | 1 Broadcom | 1 Fabric Operating System | 2024-11-21 | 4.6 MEDIUM | 6.7 MEDIUM |
| Brocade Fabric OS versions before v9.0.0, v8.2.2c, v8.2.1e, v8.1.2k, v8.2.0_CBN3, v7.4.2g contain an improper input validation weakness in the command line interface when secccrypptocfg is invoked. The vulnerability could allow a local authenticated user to run arbitrary commands and perform escalation of privileges. | |||||
| CVE-2020-15293 | 1 Bitdefender | 1 Hypervisor Introspection | 2024-11-21 | 2.1 LOW | 6.1 MEDIUM |
| Memory corruption in IntLixCrashDumpDmesg, IntLixTaskFetchCmdLine, IntLixFileReadDentry and IntLixFileGetPath due to insufficient guest-data input validation may lead to denial of service conditions. | |||||
| CVE-2020-15292 | 1 Bitdefender | 1 Hypervisor Introspection | 2024-11-21 | 2.1 LOW | 5.5 MEDIUM |
| Lack of validation on data read from guest memory in IntPeGetDirectory, IntPeParseUnwindData, IntLogExceptionRecord, IntKsymExpandSymbol and IntLixTaskDumpTree may lead to out-of-bounds read or it could cause DoS due to integer-overflor (IntPeGetDirectory), TOCTOU (IntPeParseUnwindData) or insufficient validations. | |||||
| CVE-2020-15258 | 1 Wire | 1 Wire | 2024-11-21 | 6.0 MEDIUM | 8.0 HIGH |
| In Wire before 3.20.x, `shell.openExternal` was used without checking the URL. This vulnerability allows an attacker to execute code on the victims machine by sending messages containing links with arbitrary protocols. The victim has to interact with the link and sees the URL that is opened. The issue was patched by implementing a helper function which checks if the URL's protocol is common. If it is common, the URL will be opened externally. If not, the URL will not be opened and a warning appears for the user informing them that a probably insecure URL was blocked from being executed. The issue is patched in Wire 3.20.x. More technical details about exploitation are available in the linked advisory. | |||||
| CVE-2020-15256 | 1 Object-path Project | 1 Object-path | 2024-11-21 | 6.8 MEDIUM | 7.7 HIGH |
| A prototype pollution vulnerability has been found in `object-path` <= 0.11.4 affecting the `set()` method. The vulnerability is limited to the `includeInheritedProps` mode (if version >= 0.11.0 is used), which has to be explicitly enabled by creating a new instance of `object-path` and setting the option `includeInheritedProps: true`, or by using the default `withInheritedProps` instance. The default operating mode is not affected by the vulnerability if version >= 0.11.0 is used. Any usage of `set()` in versions < 0.11.0 is vulnerable. The issue is fixed in object-path version 0.11.5 As a workaround, don't use the `includeInheritedProps: true` options or the `withInheritedProps` instance if using a version >= 0.11.0. | |||||
| CVE-2020-15234 | 1 Ory | 1 Fosite | 2024-11-21 | 4.9 MEDIUM | 6.1 MEDIUM |
| ORY Fosite is a security first OAuth2 & OpenID Connect framework for Go. In Fosite before version 0.34.1, the OAuth 2.0 Client's registered redirect URLs and the redirect URL provided at the OAuth2 Authorization Endpoint where compared using strings.ToLower while they should have been compared with a simple string match. This allows an attacker to register a client with allowed redirect URL https://example.com/callback. Then perform an OAuth2 flow and requesting redirect URL https://example.com/CALLBACK. Instead of an error (invalid redirect URL), the browser is redirected to https://example.com/CALLBACK with a potentially successful OAuth2 response, depending on the state of the overall OAuth2 flow (the user might still deny the request for example). This vulnerability has been patched in ORY Fosite v0.34.1. | |||||
| CVE-2020-15233 | 1 Ory | 1 Fosite | 2024-11-21 | 4.9 MEDIUM | 6.1 MEDIUM |
| ORY Fosite is a security first OAuth2 & OpenID Connect framework for Go. In Fosite from version 0.30.2 and before version 0.34.1, there is an issue in which an an attacker can override the registered redirect URL by performing an OAuth flow and requesting a redirect URL that is to the loopback adapter. Attackers can provide both custom URL query parameters to their loopback redirect URL, as well as actually overriding the host of the registered redirect URL. These attacks are only applicable in scenarios where the attacker has access over the loopback interface. This vulnerability has been patched in ORY Fosite v0.34.1. | |||||
| CVE-2020-15228 | 1 Toolkit Project | 1 Toolkit | 2024-11-21 | 4.0 MEDIUM | 3.5 LOW |
| In the `@actions/core` npm module before version 1.2.6,`addPath` and `exportVariable` functions communicate with the Actions Runner over stdout by generating a string in a specific format. Workflows that log untrusted data to stdout may invoke these commands, resulting in the path or environment variables being modified without the intention of the workflow or action author. The runner will release an update that disables the `set-env` and `add-path` workflow commands in the near future. For now, users should upgrade to `@actions/core v1.2.6` or later, and replace any instance of the `set-env` or `add-path` commands in their workflows with the new Environment File Syntax. Workflows and actions using the old commands or older versions of the toolkit will start to warn, then error out during workflow execution. | |||||
| CVE-2020-15210 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2024-11-21 | 5.8 MEDIUM | 6.5 MEDIUM |
| In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15206 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2024-11-21 | 5.0 MEDIUM | 9.0 CRITICAL |
| In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15203 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2024-11-21 | 5.0 MEDIUM | 7.5 HIGH |
| In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15201 | 1 Google | 1 Tensorflow | 2024-11-21 | 6.8 MEDIUM | 4.8 MEDIUM |
| In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15200 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.3 MEDIUM | 5.9 MEDIUM |
| In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15199 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.3 MEDIUM | 5.9 MEDIUM |
| In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15197 | 1 Google | 1 Tensorflow | 2024-11-21 | 3.5 LOW | 6.3 MEDIUM |
| In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15194 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2024-11-21 | 5.0 MEDIUM | 5.3 MEDIUM |
| In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1." | |||||
| CVE-2020-15192 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2024-11-21 | 4.0 MEDIUM | 4.3 MEDIUM |
| In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1. | |||||
| CVE-2020-15191 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2024-11-21 | 5.0 MEDIUM | 5.3 MEDIUM |
| In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1. | |||||