Total
210374 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-3404 | 3 Fedoraproject, Redhat, Ytnef Project | 3 Fedora, Enterprise Linux, Ytnef | 2022-04-25 | 6.8 MEDIUM | 7.8 HIGH |
| In ytnef 1.9.3, the SwapWord function in lib/ytnef.c allows remote attackers to cause a denial-of-service (and potentially code execution) due to a heap buffer overflow which can be triggered via a crafted file. | |||||
| CVE-2021-3403 | 3 Fedoraproject, Redhat, Ytnef Project | 3 Fedora, Enterprise Linux, Ytnef | 2022-04-25 | 6.8 MEDIUM | 7.8 HIGH |
| In ytnef 1.9.3, the TNEFSubjectHandler function in lib/ytnef.c allows remote attackers to cause a denial-of-service (and potentially code execution) due to a double free which can be triggered via a crafted file. | |||||
| CVE-2021-28280 | 1 Php-fusion | 1 Phpfusion | 2022-04-25 | 4.3 MEDIUM | 6.1 MEDIUM |
| CSRF + Cross-site scripting (XSS) vulnerability in search.php in PHPFusion 9.03.110 allows remote attackers to inject arbitrary web script or HTML | |||||
| CVE-2021-26951 | 1 Calamine Project | 1 Calamine | 2022-04-25 | 7.5 HIGH | 9.8 CRITICAL |
| An issue was discovered in the calamine crate before 0.17.0 for Rust. It allows attackers to overwrite heap-memory locations because Vec::set_len is used without proper memory claiming, and this uninitialized memory is used for a user-provided Read operation, as demonstrated by Sectors::get. | |||||
| CVE-2021-28170 | 3 Eclipse, Oracle, Quarkus | 4 Jakarta Expression Language, Communications Cloud Native Core Policy, Weblogic Server and 1 more | 2022-04-25 | 5.0 MEDIUM | 5.3 MEDIUM |
| In the Jakarta Expression Language implementation 3.0.3 and earlier, a bug in the ELParserTokenManager enables invalid EL expressions to be evaluated as if they were valid. | |||||
| CVE-2021-25215 | 6 Debian, Fedoraproject, Isc and 3 more | 25 Debian Linux, Fedora, Bind and 22 more | 2022-04-25 | 5.0 MEDIUM | 7.5 HIGH |
| In BIND 9.0.0 -> 9.11.29, 9.12.0 -> 9.16.13, and versions BIND 9.9.3-S1 -> 9.11.29-S1 and 9.16.8-S1 -> 9.16.13-S1 of BIND Supported Preview Edition, as well as release versions 9.17.0 -> 9.17.11 of the BIND 9.17 development branch, when a vulnerable version of named receives a query for a record triggering the flaw described above, the named process will terminate due to a failed assertion check. The vulnerability affects all currently maintained BIND 9 branches (9.11, 9.11-S, 9.16, 9.16-S, 9.17) as well as all other versions of BIND 9. | |||||
| CVE-2021-25214 | 5 Debian, Fedoraproject, Isc and 2 more | 24 Debian Linux, Fedora, Bind and 21 more | 2022-04-25 | 4.0 MEDIUM | 6.5 MEDIUM |
| In BIND 9.8.5 -> 9.8.8, 9.9.3 -> 9.11.29, 9.12.0 -> 9.16.13, and versions BIND 9.9.3-S1 -> 9.11.29-S1 and 9.16.8-S1 -> 9.16.13-S1 of BIND 9 Supported Preview Edition, as well as release versions 9.17.0 -> 9.17.11 of the BIND 9.17 development branch, when a vulnerable version of named receives a malformed IXFR triggering the flaw described above, the named process will terminate due to a failed assertion the next time the transferred secondary zone is refreshed. | |||||
| CVE-2021-27653 | 1 Pega | 1 Infinity | 2022-04-25 | 4.0 MEDIUM | 4.9 MEDIUM |
| Misconfiguration of the Pega Chat Access Group portal in Pega platform 7.4.0 - 8.5.x could lead to unintended data exposure. | |||||
| CVE-2021-29210 | 1 Hp | 29 Integrated Lights-out 4, Integrated Lights-out 5, Proliant Bl460c Gen10 Server Blade and 26 more | 2022-04-25 | 3.5 LOW | 4.8 MEDIUM |
| 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. | |||||
| CVE-2021-29209 | 1 Hp | 29 Integrated Lights-out 4, Integrated Lights-out 5, Proliant Bl460c Gen10 Server Blade and 26 more | 2022-04-25 | 3.5 LOW | 4.8 MEDIUM |
| 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. | |||||
| CVE-2021-29208 | 1 Hp | 29 Integrated Lights-out 4, Integrated Lights-out 5, Proliant Bl460c Gen10 Server Blade and 26 more | 2022-04-25 | 3.5 LOW | 4.8 MEDIUM |
| 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. | |||||
| CVE-2020-35205 | 1 Quest | 1 Policy Authority For Unified Communications | 2022-04-25 | 7.5 HIGH | 9.8 CRITICAL |
| ** UNSUPPORTED WHEN ASSIGNED ** Server Side Request Forgery (SSRF) in Web Compliance Manager in Quest Policy Authority version 8.1.2.200 allows attackers to scan internal ports and make outbound connections via the initFile.jsp file. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. | |||||
| CVE-2020-35204 | 1 Quest | 1 Policy Authority For Unified Communications | 2022-04-25 | 4.3 MEDIUM | 6.1 MEDIUM |
| ** UNSUPPORTED WHEN ASSIGNED ** Reflected XSS in Quest Policy Authority version 8.1.2.200 allows attackers to inject malicious code into the browser via a specially crafted link to the PolicyAuthority/Common/FolderControl.jsp file via the unqID parameter. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. | |||||
| CVE-2020-35203 | 1 Quest | 1 Policy Authority For Unified Communications | 2022-04-25 | 4.3 MEDIUM | 6.1 MEDIUM |
| ** UNSUPPORTED WHEN ASSIGNED ** Reflected XSS in Web Compliance Manager in Quest Policy Authority version 8.1.2.200 allows attackers to inject malicious code into the browser via a specially crafted link to the initFile.jsp file via the msg parameter. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. | |||||
| CVE-2021-29503 | 1 Hedgedoc | 1 Hedgedoc | 2022-04-25 | 4.3 MEDIUM | 6.1 MEDIUM |
| 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. | |||||
| CVE-2021-29614 | 1 Google | 1 Tensorflow | 2022-04-25 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.io.decode_raw` produces incorrect results and crashes the Python interpreter when combining `fixed_length` and wider datatypes. The implementation of the padded version(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc) is buggy due to a confusion about pointer arithmetic rules. First, the code computes(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L61) the width of each output element by dividing the `fixed_length` value to the size of the type argument. The `fixed_length` argument is also used to determine the size needed for the output tensor(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L63-L79). This is followed by reencoding code(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L85-L94). The erroneous code is the last line above: it is moving the `out_data` pointer by `fixed_length * sizeof(T)` bytes whereas it only copied at most `fixed_length` bytes from the input. This results in parts of the input not being decoded into the output. Furthermore, because the pointer advance is far wider than desired, this quickly leads to writing to outside the bounds of the backing data. This OOB write leads to interpreter crash in the reproducer mentioned here, but more severe attacks can be mounted too, given that this gadget allows writing to periodically placed locations in memory. 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-2021-29591 | 1 Google | 1 Tensorflow | 2022-04-25 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be replaced by stack overflow due to too many recursive calls. For example, the `While` implementation(https://github.com/tensorflow/tensorflow/blob/106d8f4fb89335a2c52d7c895b7a7485465ca8d9/tensorflow/lite/kernels/while.cc) could be tricked into a scneario where both the body and the loop subgraphs are the same. Evaluating one of the subgraphs means calling the `Eval` function for the other and this quickly exhaust all stack space. 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. Please consult our security guide(https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. | |||||
| CVE-2021-29583 | 1 Google | 1 Tensorflow | 2022-04-25 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FusedBatchNorm` is vulnerable to a heap buffer overflow. If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers. The implementation(https://github.com/tensorflow/tensorflow/blob/57d86e0db5d1365f19adcce848dfc1bf89fdd4c7/tensorflow/core/kernels/fused_batch_norm_op.cc) fails to validate that `scale`, `offset`, `mean` and `variance` (the last two only when required) all have the same number of elements as the number of channels of `x`. This results in heap out of bounds reads when the buffers backing these tensors are indexed past their boundary. If the tensors are empty, the validation mentioned in the above paragraph would also trigger and prevent the 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-2021-29576 | 1 Google | 1 Tensorflow | 2022-04-25 | 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` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L694-L696) does not check that the initialization of `Pool3dParameters` completes successfully. Since the constructor(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L48-L88) uses `OP_REQUIRES` to validate conditions, the first assertion that fails interrupts the initialization of `params`, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values. 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-2021-29560 | 1 Google | 1 Tensorflow | 2022-04-25 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `tf.raw_ops.RaggedTensorToTensor`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) uses the same index to access two arrays in parallel. Since the user controls the shape of the input arguments, an attacker could trigger a heap OOB access when `parent_output_index` is shorter than `row_split`. 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. | |||||