Total
2760 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2020-21835 | 1 Gnu | 1 Libredwg | 2024-02-28 | 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-2021-0555 | 1 Google | 1 Android | 2024-02-28 | 5.0 MEDIUM | 7.5 HIGH |
| In RenderStruct of protostream_objectsource.cc, there is a possible crash due to a missing null check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-179161711 | |||||
| CVE-2021-35984 | 1 Adobe | 2 Acrobat Dc, Acrobat Reader Dc | 2024-02-28 | 4.0 MEDIUM | 6.5 MEDIUM |
| Acrobat Reader DC versions 2021.005.20054 (and earlier), 2020.004.30005 (and earlier) and 2017.011.30197 (and earlier) are affected by a Null pointer dereference vulnerability. An authenticated attacker could leverage this vulnerability achieve an application denial-of-service in the context of the current user. Exploitation of this issue does not requires user interaction. | |||||
| CVE-2020-23914 | 1 Cpp-peglib Project | 1 Cpp-peglib | 2024-02-28 | 4.3 MEDIUM | 5.5 MEDIUM |
| An issue was discovered in cpp-peglib through v0.1.12. A NULL pointer dereference exists in the peg::AstOptimizer::optimize() located in peglib.h. It allows an attacker to cause Denial of Service. | |||||
| CVE-2021-32611 | 1 Antisip | 1 Exosip2 | 2024-02-28 | 5.0 MEDIUM | 7.5 HIGH |
| A NULL pointer dereference vulnerability exists in eXcall_api.c in Antisip eXosip2 through 5.2.0 when handling certain 3xx redirect responses. | |||||
| CVE-2021-29574 | 1 Google | 1 Tensorflow | 2024-02-28 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The implementation(https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707bbc116618/tensorflow/core/kernels/pooling_ops_3d.cc#L679-L703) fails to validate that the 3 tensor inputs are not empty. If any of them is empty, then accessing the elements in the tensor results in dereferencing a null pointer. 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-2021-27632 | 1 Sap | 1 Netweaver As Abap | 2024-02-28 | 5.0 MEDIUM | 7.5 HIGH |
| SAP NetWeaver ABAP Server and ABAP Platform (Enqueue Server), versions - KRNL32NUC - 7.22,7.22EXT, KRNL64NUC - 7.22,7.22EXT,7.49, KRNL64UC - 8.04,7.22,7.22EXT,7.49,7.53,7.73, KERNEL - 7.22,8.04,7.49,7.53,7.73, allows an unauthenticated attacker without specific knowledge of the system to send a specially crafted packet over a network which will trigger an internal error in the system due to improper input validation in method EnqConvUniToSrvReq() causing the system to crash and rendering it unavailable. In this attack, no data in the system can be viewed or modified. | |||||
| CVE-2021-20213 | 1 Privoxy | 1 Privoxy | 2024-02-28 | 4.3 MEDIUM | 7.5 HIGH |
| A flaw was found in Privoxy in versions before 3.0.29. Dereference of a NULL-pointer that could result in a crash if accept-intercepted-requests was enabled, Privoxy failed to get the request destination from the Host header and a memory allocation failed. | |||||
| CVE-2021-3514 | 1 Redhat | 1 389 Directory Server | 2024-02-28 | 4.0 MEDIUM | 6.5 MEDIUM |
| When using a sync_repl client in 389-ds-base, an authenticated attacker can cause a NULL pointer dereference using a specially crafted query, causing a crash. | |||||
| CVE-2021-29518 | 1 Google | 1 Tensorflow | 2024-02-28 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In eager mode (default in TF 2.0 and later), session operations are invalid. However, users could still call the raw ops associated with them and trigger a null pointer dereference. The implementation(https://github.com/tensorflow/tensorflow/blob/eebb96c2830d48597d055d247c0e9aebaea94cd5/tensorflow/core/kernels/session_ops.cc#L104) dereferences the session state pointer without checking if it is valid. Thus, in eager mode, `ctx->session_state()` is nullptr and the call of the member function is undefined behavior. 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-2021-37639 | 1 Google | 1 Tensorflow | 2024-02-28 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer. Alternatively, attackers can read memory outside the bounds of heap allocated data by providing some tensor names but not enough for a successful restoration. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/kernels/save_restore_tensor.cc#L158-L159) retrieves the tensor list corresponding to the `tensor_name` user controlled input and immediately retrieves the tensor at the restoration index (controlled via `preferred_shard` argument). This occurs without validating that the provided list has enough values. If the list is empty this results in dereferencing a null pointer (undefined behavior). If, however, the list has some elements, if the restoration index is outside the bounds this results in heap OOB read. We have patched the issue in GitHub commit 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37648 | 1 Google | 1 Tensorflow | 2024-02-28 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the code for `tf.raw_ops.SaveV2` does not properly validate the inputs and an attacker can trigger a null pointer dereference. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/save_restore_v2_ops.cc) uses `ValidateInputs` to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses `OP_REQUIRES` which translates to setting the `Status` object of the current `OpKernelContext` to an error status, followed by an empty `return` statement which just terminates the execution of the function it is present in. However, this does not mean that the kernel execution is finalized: instead, execution continues from the next line in `Compute` that follows the call to `ValidateInputs`. This is equivalent to lacking the validation. We have patched the issue in GitHub commit 9728c60e136912a12d99ca56e106b7cce7af5986. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-38200 | 1 Linux | 1 Linux Kernel | 2024-02-28 | 2.1 LOW | 5.5 MEDIUM |
| arch/powerpc/perf/core-book3s.c in the Linux kernel before 5.12.13, on systems with perf_event_paranoid=-1 and no specific PMU driver support registered, allows local users to cause a denial of service (perf_instruction_pointer NULL pointer dereference and OOPS) via a "perf record" command. | |||||
| CVE-2021-29541 | 1 Google | 1 Tensorflow | 2024-02-28 | 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-2021-28838 | 1 Dlink | 18 Dap-2310, Dap-2310 Firmware, Dap-2330 and 15 more | 2024-02-28 | 5.0 MEDIUM | 7.5 HIGH |
| Null pointer dereference vulnerability in D-Link DAP-2310 2,10RC039, DAP-2330 1.10RC036 BETA, DAP-2360 2.10RC055, DAP-2553 3.10rc039 BETA, DAP-2660 1.15rc131b, DAP-2690 3.20RC115 BETA, DAP-2695 1.20RC093, DAP-3320 1.05RC027 BETA and DAP-3662 1.05rc069 in the sbin/httpd binary. The crash happens at the `atoi' operation when a specific network package are sent to the httpd binary. | |||||
| CVE-2010-4816 | 1 Openbsd | 1 Openbsd | 2024-02-28 | 5.0 MEDIUM | 7.5 HIGH |
| It was found in FreeBSD 8.0, 6.3 and 4.9, and OpenBSD 4.6 that a null pointer dereference in ftpd/popen.c may lead to remote denial of service of the ftpd service. | |||||
| CVE-2021-37750 | 5 Debian, Fedoraproject, Mit and 2 more | 5 Debian Linux, Fedora, Kerberos 5 and 2 more | 2024-02-28 | 4.0 MEDIUM | 6.5 MEDIUM |
| The Key Distribution Center (KDC) in MIT Kerberos 5 (aka krb5) before 1.18.5 and 1.19.x before 1.19.3 has a NULL pointer dereference in kdc/do_tgs_req.c via a FAST inner body that lacks a server field. | |||||
| CVE-2020-23331 | 1 Axiosys | 1 Bento4 | 2024-02-28 | 5.0 MEDIUM | 7.5 HIGH |
| An issue was discovered in Bento4 version 06c39d9. A NULL pointer dereference exists in the AP4_DescriptorListWriter::Action component located in /Core/Ap4Descriptor.h. It allows an attacker to cause a denial of service (DOS). | |||||
| CVE-2021-37643 | 1 Google | 1 Tensorflow | 2024-02-28 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to `tf.raw_ops.MatrixDiagPartOp`, then the code triggers a null pointer dereference (if input is empty) or produces invalid behavior, ignoring all values after the first. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/linalg/matrix_diag_op.cc#L89) reads the first value from a tensor buffer without first checking that the tensor has values to read from. We have patched the issue in GitHub commit 482da92095c4d48f8784b1f00dda4f81c28d2988. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37681 | 1 Google | 1 Tensorflow | 2024-02-28 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of SVDF in TFLite is [vulnerable to a null pointer error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/svdf.cc#L300-L313). The [`GetVariableInput` function](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/kernel_util.cc#L115-L119) can return a null pointer but `GetTensorData` assumes that the argument is always a valid tensor. Furthermore, because `GetVariableInput` calls [`GetMutableInput`](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/kernel_util.cc#L82-L90) which might return `nullptr`, the `tensor->is_variable` expression can also trigger a null pointer exception. We have patched the issue in GitHub commit 5b048e87e4e55990dae6b547add4dae59f4e1c76. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||