Total
455 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-20272 | 2 Debian, Privoxy | 2 Debian Linux, Privoxy | 2021-12-07 | 5.0 MEDIUM | 7.5 HIGH |
| A flaw was found in privoxy before 3.0.32. An assertion failure could be triggered with a crafted CGI request leading to server crash. | |||||
| CVE-2021-44022 | 2 Microsoft, Trendmicro | 2 Windows, Apex One | 2021-12-06 | 2.1 LOW | 5.5 MEDIUM |
| A reachable assertion vulnerability in Trend Micro Apex One could allow an attacker to crash the program on affected installations, leading to a denial-of-service (DoS). Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. | |||||
| CVE-2018-5269 | 2 Debian, Opencv | 2 Debian Linux, Opencv | 2021-11-30 | 4.3 MEDIUM | 5.5 MEDIUM |
| In OpenCV 3.3.1, an assertion failure happens in cv::RBaseStream::setPos in modules/imgcodecs/src/bitstrm.cpp because of an incorrect integer cast. | |||||
| CVE-2021-1982 | 1 Qualcomm | 144 Ar8035, Ar8035 Firmware, Qca6390 and 141 more | 2021-11-16 | 5.0 MEDIUM | 7.5 HIGH |
| Possible denial of service scenario due to improper input validation of received NAS OTA message in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile | |||||
| 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-2021-33600 | 1 F-secure | 1 Internet Gatekeeper | 2021-10-08 | 5.0 MEDIUM | 7.5 HIGH |
| A denial-of-service (DoS) vulnerability was discovered in the web user interface of F-Secure Internet Gatekeeper. The vulnerability occurs because of an attacker can trigger assertion via malformed HTTP packet to web interface. An unauthenticated attacker could exploit this vulnerability by sending a large username parameter. A successful exploitation could lead to a denial-of-service of the product. | |||||
| CVE-2021-1971 | 1 Qualcomm | 242 Aqt1000, Aqt1000 Firmware, Ar8035 and 239 more | 2021-09-22 | 7.8 HIGH | 7.5 HIGH |
| Possible assertion due to lack of physical layer state validation in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wired Infrastructure and Networking | |||||
| CVE-2021-36691 | 1 Libjxl Project | 1 Libjxl | 2021-09-08 | 5.0 MEDIUM | 7.5 HIGH |
| libjxl v0.5.0 is affected by a Assertion failed issue in lib/jxl/image.cc jxl::PlaneBase::PlaneBase(). When encoding a malicous GIF file using cjxl, an attacker can trigger a denial of service. | |||||
| CVE-2021-21778 | 1 Mz-automation | 1 Lib60870 | 2021-08-31 | 5.0 MEDIUM | 7.5 HIGH |
| A denial of service vulnerability exists in the ASDU message processing functionality of MZ Automation GmbH lib60870.NET 2.2.0. A specially crafted network request can lead to loss of communications. An attacker can send an unauthenticated message to trigger this vulnerability. | |||||
| CVE-2021-40083 | 1 Nic | 1 Knot Resolver | 2021-08-30 | 5.0 MEDIUM | 7.5 HIGH |
| Knot Resolver before 5.3.2 is prone to an assertion failure, triggerable by a remote attacker in an edge case (NSEC3 with too many iterations used for a positive wildcard proof). | |||||
| CVE-2021-37644 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to `num_elements` list argument of `tf.raw_ops.TensorListReserve` causes the runtime to abort the process due to reallocating a `std::vector` to have a negative number of elements. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/list_kernels.cc#L312) calls `std::vector.resize()` with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. 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-2020-15197 | 1 Google | 1 Tensorflow | 2021-08-17 | 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 | 2021-08-17 | 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-2021-31878 | 1 Digium | 1 Asterisk | 2021-08-07 | 4.0 MEDIUM | 6.5 MEDIUM |
| An issue was discovered in PJSIP in Asterisk before 16.19.1 and before 18.5.1. To exploit, a re-INVITE without SDP must be received after Asterisk has sent a BYE request. | |||||
| CVE-2018-17204 | 4 Canonical, Debian, Openvswitch and 1 more | 4 Ubuntu Linux, Debian Linux, Openvswitch and 1 more | 2021-08-04 | 4.0 MEDIUM | 4.3 MEDIUM |
| An issue was discovered in Open vSwitch (OvS) 2.7.x through 2.7.6, affecting parse_group_prop_ntr_selection_method in lib/ofp-util.c. When decoding a group mod, it validates the group type and command after the whole group mod has been decoded. The OF1.5 decoder, however, tries to use the type and command earlier, when it might still be invalid. This causes an assertion failure (via OVS_NOT_REACHED). ovs-vswitchd does not enable support for OpenFlow 1.5 by default. | |||||
| CVE-2018-17205 | 3 Canonical, Openvswitch, Redhat | 3 Ubuntu Linux, Openvswitch, Openstack | 2021-08-04 | 5.0 MEDIUM | 7.5 HIGH |
| An issue was discovered in Open vSwitch (OvS) 2.7.x through 2.7.6, affecting ofproto_rule_insert__ in ofproto/ofproto.c. During bundle commit, flows that are added in a bundle are applied to ofproto in order. If a flow cannot be added (e.g., the flow action is a go-to for a group id that does not exist), OvS tries to revert back all previous flows that were successfully applied from the same bundle. This is possible since OvS maintains list of old flows that were replaced by flows from the bundle. While reinserting old flows, OvS has an assertion failure due to a check on rule state != RULE_INITIALIZED. This would work for new flows, but for an old flow the rule state is RULE_REMOVED. The assertion failure causes an OvS crash. | |||||
| CVE-2020-20262 | 1 Mikrotik | 1 Routeros | 2021-07-30 | 4.0 MEDIUM | 6.5 MEDIUM |
| Mikrotik RouterOs before 6.47 (stable tree) suffers from an assertion failure vulnerability in the /ram/pckg/security/nova/bin/ipsec process. An authenticated remote attacker can cause a Denial of Service due to an assertion failure via a crafted packet. | |||||
| CVE-2021-29543 | 1 Google | 1 Tensorflow | 2021-07-27 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.CTCGreedyDecoder`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1615440b17b364b875eb06f43d087381f1460a65/tensorflow/core/kernels/ctc_decoder_ops.cc#L37-L50) has a `CHECK_LT` inserted to validate some invariants. When this condition is false, the program aborts, instead of returning a valid error to the user. This abnormal termination can be weaponized in denial of service attacks. 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-2021-29552 | 1 Google | 1 Tensorflow | 2021-07-27 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by controlling the values of `num_segments` tensor argument for `UnsortedSegmentJoin`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a2a607db15c7cd01d754d37e5448d72a13491bdb/tensorflow/core/kernels/unsorted_segment_join_op.cc#L92-L93) assumes that the `num_segments` tensor is a valid scalar. Since the tensor is empty the `CHECK` involved in `.scalar<T>()()` that checks that the number of elements is exactly 1 will be invalidated and this would result in process termination. 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-2021-29563 | 1 Google | 1 Tensorflow | 2021-07-27 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a `CHECK`-failure coming from the implementation of `tf.raw_ops.RFFT`. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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. | |||||