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Total
201818 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-23421 | 1 Merge-change Project | 1 Merge-change | 2021-08-19 | 7.5 HIGH | 9.8 CRITICAL |
| All versions of package merge-change are vulnerable to Prototype Pollution via the utils.set function. | |||||
| CVE-2020-21976 | 1 Newsone Cms Project | 1 Newsone Cms | 2021-08-19 | 9.0 HIGH | 8.8 HIGH |
| An arbitrary file upload in the <input type="file" name="user_image"> component of NewsOne CMS v1.1.0 allows attackers to webshell and execute arbitrary commands. | |||||
| CVE-2021-28846 | 1 Trendnet | 8 Tew-755ap, Tew-755ap2kac, Tew-755ap2kac Firmware and 5 more | 2021-08-19 | 4.0 MEDIUM | 6.5 MEDIUM |
| A Format String vulnerablity exists in TRENDnet TEW-755AP 1.11B03, TEW-755AP2KAC 1.11B03, TEW-821DAP2KAC 1.11B03, and TEW-825DAP 1.11B03, which could let a remote malicious user cause a denial of service due to a logic bug at address 0x40dcd0 when calling fprintf with "%s: key len = %d, too long\n" format. The two variables seem to be put in the wrong order. The vulnerability could be triggered by sending the POST request to apply_cgi with a long and unknown key in the request body. | |||||
| CVE-2021-38525 | 1 Netgear | 52 D3600, D3600 Firmware, D6000 and 49 more | 2021-08-19 | 6.5 MEDIUM | 7.2 HIGH |
| Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects D3600 before 1.0.0.76, D6000 before 1.0.0.76, D6200 before 1.1.00.36, D7000 before 1.0.1.70, EX6200v2 before 1.0.1.78, EX7000 before 1.0.1.78, EX8000 before 1.0.1.186, JR6150 before 1.0.1.18, PR2000 before 1.0.0.28, R6020 before 1.0.0.42, R6050 before 1.0.1.18, R6080 before 1.0.0.42, R6120 before 1.0.0.46, R6220 before 1.1.0.80, R6260 before 1.1.0.64, R6300v2 before 1.0.4.34, R6700 before 1.0.2.6, R6700v2 before 1.2.0.36, R6800 before 1.2.0.36, R6900 before 1.0.2.4, R6900P before 1.3.1.64, R6900v2 before 1.2.0.36, R7000 before 1.0.9.42, R7000P before 1.3.1.64, R7800 before 1.0.2.60, R8900 before 1.0.4.12, R9000 before 1.0.4.12, and XR500 before 2.3.2.40. | |||||
| CVE-2021-37391 | 1 Chamilo | 1 Chamilo Lms | 2021-08-19 | 3.5 LOW | 5.4 MEDIUM |
| A user without privileges in Chamilo LMS 1.11.14 can send an invitation message to another user, e.g., the administrator, through main/social/search.php, main/inc/lib/social.lib.php and steal cookies or execute arbitrary code on the administration side via a stored XSS vulnerability via social network the send invitation feature. | |||||
| CVE-2021-20032 | 1 Sonicwall | 1 Analytics | 2021-08-19 | 7.5 HIGH | 9.8 CRITICAL |
| SonicWall Analytics 2.5 On-Prem is vulnerable to Java Debug Wire Protocol (JDWP) interface security misconfiguration vulnerability which potentially leads to Remote Code Execution. This vulnerability impacts Analytics On-Prem 2.5.2518 and earlier. | |||||
| CVE-2021-29400 | 1 Netexplorer | 1 My Smtp Contact | 2021-08-19 | 4.3 MEDIUM | 6.5 MEDIUM |
| A cross-site request forgery (CSRF) vulnerability in the My SMTP Contact v1.1.1 plugin for GetSimple CMS allows remote attackers to change the SMTP settings of the contact forms for the webpages of the CMS after an authenticated admin visits a malicious third-party site. | |||||
| CVE-2021-32122 | 1 Netgear | 8 Ex3700, Ex3700 Firmware, Ex3800 and 5 more | 2021-08-19 | 5.4 MEDIUM | 8.0 HIGH |
| Certain NETGEAR devices are affected by CSRF. This affects EX3700 before 1.0.0.90, EX3800 before 1.0.0.90, EX6120 before 1.0.0.64, and EX6130 before 1.0.0.44. | |||||
| CVE-2021-38535 | 1 Netgear | 38 Ac2100, Ac2100 Firmware, Ac2400 and 35 more | 2021-08-19 | 3.5 LOW | 4.8 MEDIUM |
| Certain NETGEAR devices are affected by stored XSS. This affects D6200 before 1.1.00.40, D7000 before 1.0.1.78, R6020 before 1.0.0.48, R6080 before 1.0.0.48, R6120 before 1.0.0.76, R6260 before 1.1.0.78, R6700v2 before 1.2.0.76, R6800 before 1.2.0.76, R6900v2 before 1.2.0.76, R6850 before 1.1.0.78, R7200 before 1.2.0.76, R7350 before 1.2.0.76, R7400 before 1.2.0.76, R7450 before 1.2.0.76, AC2100 before 1.2.0.76, AC2400 before 1.2.0.76, AC2600 before 1.2.0.76, RAX35 before 1.0.3.62, and RAX40 before 1.0.3.62. | |||||
| CVE-2015-4066 | 1 Tri | 1 Gigpress | 2021-08-19 | 6.5 MEDIUM | N/A |
| Multiple SQL injection vulnerabilities in admin/handlers.php in the GigPress plugin before 2.3.9 for WordPress allow remote authenticated users to execute arbitrary SQL commands via the (1) show_artist_id or (2) show_venue_id parameter in an add action in the gigpress.php page to wp-admin/admin.php. | |||||
| CVE-2021-38536 | 1 Netgear | 38 Ac2100, Ac2100 Firmware, Ac2400 and 35 more | 2021-08-19 | 3.5 LOW | 4.8 MEDIUM |
| Certain NETGEAR devices are affected by stored XSS. This affects D6200 before 1.1.00.40, D7000 before 1.0.1.78, R6020 before 1.0.0.48, R6080 before 1.0.0.48, R6120 before 1.0.0.66, R6260 before 1.1.0.78, R6700v2 before 1.2.0.76, R6800 before 1.2.0.76, R6900v2 before 1.2.0.76, R6850 before 1.1.0.78, R7200 before 1.2.0.76, R7350 before 1.2.0.76, R7400 before 1.2.0.76, R7450 before 1.2.0.76, AC2100 before 1.2.0.76, AC2400 before 1.2.0.76, AC2600 before 1.2.0.76, RAX35 before 1.0.3.62, and RAX40 before 1.0.3.62. | |||||
| CVE-2013-1837 | 2021-08-19 | N/A | N/A | ||
| ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was withdrawn by its CNA. Further investigation showed that it was not a security issue. Notes: none. | |||||
| CVE-2013-1791 | 2021-08-19 | N/A | N/A | ||
| ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2013. Notes: none. | |||||
| CVE-2013-0344 | 2021-08-19 | N/A | N/A | ||
| ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2013. Notes: none. | |||||
| CVE-2021-38537 | 1 Netgear | 36 Ac2100, Ac2100 Firmware, Ac2400 and 33 more | 2021-08-19 | 3.5 LOW | 4.8 MEDIUM |
| Certain NETGEAR devices are affected by stored XSS. This affects D6200 before 1.1.00.40, D7000 before 1.0.1.78, R6020 before 1.0.0.48, R6080 before 1.0.0.48, R6120 before 1.0.0.66, R6260 before 1.1.0.78, R6700v2 before 1.2.0.76, R6800 before 1.2.0.76, R6900v2 before 1.2.0.76, R6850 before 1.1.0.78, R7200 before 1.2.0.76, R7350 before 1.2.0.76, R7400 before 1.2.0.76, R7450 before 1.2.0.76, AC2100 before 1.2.0.76, AC2400 before 1.2.0.76, AC2600 before 1.2.0.76, and RAX40 before 1.0.3.62. | |||||
| CVE-2021-32768 | 1 Typo3 | 1 Typo3 | 2021-08-19 | 4.3 MEDIUM | 6.1 MEDIUM |
| TYPO3 is an open source PHP based web content management system released under the GNU GPL. In affected versions failing to properly parse, sanitize and encode malicious rich-text content, the content rendering process in the website frontend is vulnerable to cross-site scripting. Corresponding rendering instructions via TypoScript functionality HTMLparser does not consider all potentially malicious HTML tag & attribute combinations per default. In default scenarios, a valid backend user account is needed to exploit this vulnerability. In case custom plugins used in the website frontend accept and reflect rich-text content submitted by users, no authentication is required. Update to TYPO3 versions 7.6.53 ELTS, 8.7.42 ELTS, 9.5.29, 10.4.19, 11.3.2 that fix the problem described. | |||||
| CVE-2021-38538 | 1 Netgear | 30 D7800, D7800 Firmware, R7800 and 27 more | 2021-08-19 | 4.3 MEDIUM | 6.1 MEDIUM |
| Certain NETGEAR devices are affected by stored XSS. This affects D7800 before 1.0.1.56, R7800 before 1.0.2.68, R8900 before 1.0.4.26, R9000 before 1.0.4.26, RAX120 before 1.0.0.78, RBK20 before 2.3.5.26, RBR20 before 2.3.5.26, RBS20 before 2.3.5.26, RBK40 before 2.3.5.30, RBR40 before 2.3.5.30, RBS40 before 2.3.5.30, RBK50 before 2.3.5.30, RBR50 before 2.3.5.30, RBS50 before 2.3.5.30, and XR500 before 2.3.2.56. | |||||
| CVE-2021-20418 | 2 Ibm, Linux | 2 Security Guardium, Linux Kernel | 2021-08-19 | 5.0 MEDIUM | 9.8 CRITICAL |
| IBM Security Guardium 11.2 does not require that users should have strong passwords by default, which makes it easier for attackers to compromise user accounts. IBM X-Force ID: 196279. | |||||
| CVE-2021-20427 | 2 Ibm, Linux | 2 Security Guardium, Linux Kernel | 2021-08-19 | 5.0 MEDIUM | 7.5 HIGH |
| IBM Security Guardium 11.2 uses an inadequate account lockout setting that could allow a remote attacker to brute force account credentials. IBM X-Force ID: 196314. | |||||
| CVE-2021-20420 | 2 Ibm, Linux | 2 Security Guardium, Linux Kernel | 2021-08-19 | 4.0 MEDIUM | 4.3 MEDIUM |
| IBM Security Guardium 11.2 could disclose sensitive information due to reliance on untrusted inputs that could aid in further attacks against the system. IBM X-Force ID: 196281. | |||||
| CVE-2021-37690 | 1 Google | 1 Tensorflow | 2021-08-19 | 4.6 MEDIUM | 6.6 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions (such as `MutableHashTableShape`) produce extra output information in the form of a `ShapeAndType` struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to access this shape information, it can trigger a segfault. `ShapeRefiner` is mitigating this for normal output shapes by cloning them (and thus putting the newly created shape under ownership of an inference context that will not die), but we were not doing the same for shapes and types. This commit fixes that by doing similar logic on output shapes and types. We have patched the issue in GitHub commit ee119d4a498979525046fba1c3dd3f13a039fbb1. 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-2021-37668 | 1 Google | 1 Tensorflow | 2021-08-19 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.UnravelIndex` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unravel_index_op.cc#L36) does not check that the tensor subsumed by `dims` is not empty. Hence, if one element of `dims` is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. 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-2021-37665 | 1 Google | 1 Tensorflow | 2021-08-19 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantization_range_per_channel_op.cc) does not validate the dimensions of the `input` tensor. A similar issue occurs in `MklRequantizePerChannelOp`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantize_per_channel_op.cc) does not perform full validation for all the input arguments. We have patched the issue in GitHub commit 9e62869465573cb2d9b5053f1fa02a81fce21d69 and in the Github commit 203214568f5bc237603dbab6e1fd389f1572f5c9. 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-2021-37663 | 1 Google | 1 Tensorflow | 2021-08-19 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in `tf.raw_ops.QuantizeV2`, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/quantize_op.cc#L59) has some validation but does not check that `min_range` and `max_range` both have the same non-zero number of elements. If `axis` is provided (i.e., not `-1`), then validation should check that it is a value in range for the rank of `input` tensor and then the lengths of `min_range` and `max_range` inputs match the `axis` dimension of the `input` tensor. We have patched the issue in GitHub commit 6da6620efad397c85493b8f8667b821403516708. 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-2021-37672 | 1 Google | 1 Tensorflow | 2021-08-19 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. 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-2021-37670 | 1 Google | 1 Tensorflow | 2021-08-19 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/searchsorted_op.cc#L85-L104) does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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-2021-37669 | 1 Google | 1 Tensorflow | 2021-08-19 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/image/non_max_suppression_op.cc#L170-L271) uses a user controlled argument to resize a `std::vector`. However, as `std::vector::resize` takes the size argument as a `size_t` and `output_size` is an `int`, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in `CombinedNonMaxSuppression`. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. 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-2021-37677 | 1 Google | 1 Tensorflow | 2021-08-19 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. 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-2021-38531 | 1 Netgear | 24 Ac2100, Ac2100 Firmware, Ac2400 and 21 more | 2021-08-19 | 6.5 MEDIUM | 7.2 HIGH |
| Certain NETGEAR devices are affected by incorrect configuration of security settings. This affects D6200 before 1.1.00.40, D7000 before 1.0.1.78, R6020 before 1.0.0.42, R6080 before 1.0.0.42, R6120 before 1.0.0.66, R6260 before 1.1.0.78, R6700v2 before 1.2.0.76, R6800 before 1.2.0.76, R6900v2 before 1.2.0.76, R7450 before 1.2.0.76, AC2100 before 1.2.0.76, and AC2400 before 1.2.0.76. | |||||
| CVE-2021-36217 | 2021-08-19 | N/A | N/A | ||
| ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: CVE-2021-3502. Reason: This candidate is a duplicate of CVE-2021-3502. Notes: All CVE users should reference CVE-2021-3502 instead of this candidate. All references and descriptions in this candidate have been removed to prevent accidental usage. | |||||
| CVE-2021-31291 | 2021-08-19 | N/A | N/A | ||
| ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: CVE-2021-29457. Reason: This candidate is a duplicate of CVE-2021-29457. Notes: All CVE users should reference CVE-2021-29457 instead of this candidate. All references and descriptions in this candidate have been removed to prevent accidental usage. | |||||
| CVE-2021-23410 | 2021-08-19 | N/A | N/A | ||
| ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was withdrawn by its CNA. Further investigation showed that it was not a security issue. Notes: none. | |||||
| CVE-2020-35137 | 2021-08-19 | N/A | N/A | ||
| ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: the reported issue is not a vulnerability or exposure. Notes: This is an opt-in feature to the product - it is not enabled by default and customers cannot enable it without an explicit email to support. At this time, we do not plan change to make any changes to this feature. | |||||
| CVE-2021-36601 | 1 Get-simple | 1 Getsimplecms | 2021-08-19 | 4.3 MEDIUM | 6.1 MEDIUM |
| GetSimpleCMS 3.3.16 contains a cross-site Scripting (XSS) vulnerability, where Function TSL does not filter check settings.php Website URL: "siteURL" parameter. | |||||
| CVE-2021-37674 | 1 Google | 1 Tensorflow | 2021-08-19 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. 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-2021-37673 | 1 Google | 1 Tensorflow | 2021-08-19 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. 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-2018-17255 | 2021-08-19 | N/A | N/A | ||
| ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: CVE-2020-14014. Reason: This candidate is a reservation duplicate of CVE-2020-14014. Notes: All CVE users should reference CVE-2020-14014 instead of this candidate. All references and descriptions in this candidate have been removed to prevent accidental usage. | |||||
| CVE-2021-37679 | 1 Google | 1 Tensorflow | 2021-08-19 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The `t` and `z` outputs should be identical, however this is not the case. The last row of `t` contains data from the heap which can be used to leak other memory information. The bug lies in the conversion from a `Variant` tensor to a `RaggedTensor`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_from_variant_op.cc#L177-L190) does not check that all inner shapes match and this results in the additional dimensions. The same implementation can result in data loss, if input tensor is tweaked. We have patched the issue in GitHub commit 4e2565483d0ffcadc719bd44893fb7f609bb5f12. 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-2020-24742 | 1 Qt | 1 Qt | 2021-08-19 | 6.8 MEDIUM | 7.8 HIGH |
| An issue has been fixed in Qt versions 5.14.0 where QPluginLoader attempts to load plugins relative to the working directory, allowing attackers to execute arbitrary code via crafted files. | |||||
| CVE-2016-1364 | 1 Cisco | 1 Wireless Lan Controller Software | 2021-08-19 | 7.8 HIGH | 7.5 HIGH |
| Cisco Wireless LAN Controller (WLC) Software 7.4 before 7.4.130.0(MD) and 7.5, 7.6, and 8.0 before 8.0.110.0(ED) allows remote attackers to cause a denial of service (device reload) via crafted Bonjour traffic, aka Bug ID CSCur66908. | |||||
| CVE-2021-37678 | 1 Google | 1 Tensorflow | 2021-08-19 | 4.6 MEDIUM | 8.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/python/keras/saving/model_config.py#L66-L104) uses `yaml.unsafe_load` which can perform arbitrary code execution on the input. Given that YAML format support requires a significant amount of work, we have removed it for now. We have patched the issue in GitHub commit 23d6383eb6c14084a8fc3bdf164043b974818012. 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-2021-38530 | 1 Netgear | 20 Rbk20, Rbk20 Firmware, Rbk40 and 17 more | 2021-08-19 | 10.0 HIGH | 9.8 CRITICAL |
| Certain NETGEAR devices are affected by command injection by an unauthenticated attacker. This affects RBK40 before 2.5.1.16, RBR40 before 2.5.1.16, RBS40 before 2.5.1.16, RBK20 before 2.5.1.16, RBR20 before 2.5.1.16, RBS20 before 2.5.1.16, RBK50 before 2.5.1.16, RBR50 before 2.5.1.16, RBS50 before 2.5.1.16, and RBS50Y before 2.6.1.40. | |||||
| CVE-2021-37682 | 1 Google | 1 Tensorflow | 2021-08-19 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions all TFLite operations that use quantization can be made to use unitialized values. [For example](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/depthwise_conv.cc#L198-L200). The issue stems from the fact that `quantization.params` is only valid if `quantization.type` is different that `kTfLiteNoQuantization`. However, these checks are missing in large parts of the code. We have patched the issue in GitHub commits 537bc7c723439b9194a358f64d871dd326c18887, 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 and 8933b8a21280696ab119b63263babdb54c298538. 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-2021-38532 | 1 Netgear | 2 Wac104, Wac104 Firmware | 2021-08-19 | 6.5 MEDIUM | 7.2 HIGH |
| NETGEAR WAC104 devices before 1.0.4.15 are affected by incorrect configuration of security settings. | |||||
| CVE-2021-38533 | 1 Netgear | 2 Rax40, Rax40 Firmware | 2021-08-19 | 3.5 LOW | 5.4 MEDIUM |
| NETGEAR RAX40 devices before 1.0.3.64 are affected by stored XSS. | |||||
| CVE-2021-38522 | 1 Netgear | 2 R6400, R6400 Firmware | 2021-08-19 | 6.5 MEDIUM | 7.2 HIGH |
| NETGEAR R6400 devices before 1.0.1.52 are affected by a stack-based buffer overflow by an authenticated user. | |||||
| CVE-2021-38523 | 1 Netgear | 2 R6400, R6400 Firmware | 2021-08-19 | 6.5 MEDIUM | 7.2 HIGH |
| NETGEAR R6400 devices before 1.0.1.70 are affected by a stack-based buffer overflow by an authenticated user. | |||||
| CVE-2021-38524 | 1 Netgear | 26 Mk62, Mk62 Firmware, Mr60 and 23 more | 2021-08-19 | 4.0 MEDIUM | 4.9 MEDIUM |
| Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects MK62 before 1.0.6.110, MR60 before 1.0.6.110, MS60 before 1.0.6.110, RAX15 before 1.0.2.82, RAX20 before 1.0.2.82, RAX200 before 1.0.3.106, RAX45 before 1.0.2.32, RAX50 before 1.0.2.32, RAX75 before 1.0.3.106, RAX80 before 1.0.3.106, RBK752 before 3.2.16.6, RBR750 before 3.2.16.6, and RBS750 before 3.2.16.6. | |||||
| CVE-2021-38519 | 1 Netgear | 27 R6250, R6250 Firmware, R6300 and 24 more | 2021-08-19 | 6.5 MEDIUM | 7.2 HIGH |
| Certain NETGEAR devices are affected by command injection by an authenticated user. This affects R6250 before 1.0.4.36, R6300v2 before 1.0.4.36, R6400 before 1.0.1.50, R6400v2 before 1.0.2.66, R6700v3 before 1.0.2.66, R6700 before 1.0.2.8, R6900 before 1.0.2.8, R7000 before 1.0.9.88, R6900P before 1.3.2.132, R7100LG before 1.0.0.52, R7900 before 1.0.3.10, R8000 before 1.0.4.46, R7900P before 1.4.1.50, R8000P before 1.4.1.50, and RAX80 before 1.0.1.40. | |||||
| CVE-2021-38517 | 1 Netgear | 8 R6400, R6400 Firmware, Rax75 and 5 more | 2021-08-19 | 6.5 MEDIUM | 7.2 HIGH |
| Certain NETGEAR devices are affected by out-of-bounds reads and writes. This affects R6400 before 1.0.1.70, RAX75 before 1.0.4.120, RAX80 before 1.0.4.120, and XR300 before 1.0.3.50. | |||||