‼ CVE-2022-22818 ‼
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via "National Vulnerability Database".
The {% debug %} template tag in Django 2.2 before 2.2.27, 3.2 before 3.2.12, and 4.0 before 4.0.2 does not properly encode the current context. This may lead to XSS.📖 Read
via "National Vulnerability Database".
‼ CVE-2021-41837 ‼
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via "National Vulnerability Database".
An unsafe pointer vulnerability exists in SMM (System Management Mode) branch that registers a SWSMI handler. An attacker can use this unsafe pointer "current_ptr" to read or write or manipulate data into SMRAM. Exploitation of this vulnerability can lead to escalation of privileges reserved only for SMM using the SwSMI handler.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-23871 ‼
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via "National Vulnerability Database".
Multiple cross-site scripting (XSS) vulnerabilities in the component outcomes_addProcess.php of Gibbon CMS v22.0.01 allow attackers to execute arbitrary web scripts or HTML via a crafted payload insterted into the name, category, description parameters.📖 Read
via "National Vulnerability Database".
‼ CVE-2021-41840 ‼
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via "National Vulnerability Database".
A vulnerability exists in SMM (System Management Mode) branch that registers a SWSMI handler that does not sufficiently check or validate the allocated table variable EFI_BOOT_SERVICES. This allows an attacker who is capable of executing code in DXE phase to exploit this vulnerability to escalate privileges to SMM. The attacker can overwrite the LocateProtocol or Freepool memory address location to execute unwanted code.📖 Read
via "National Vulnerability Database".
‼ CVE-2021-33627 ‼
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via "National Vulnerability Database".
A vulnerability exists in SMM (System Management Mode) branch that registers a SWSMI handler that does not sufficiently check or validate the allocated buffer pointer(CommBuffer). This can be used by an attacker to corrupt data in SMRAM memory and even lead to arbitrary code execution.📖 Read
via "National Vulnerability Database".
‼ CVE-2021-42059 ‼
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via "National Vulnerability Database".
Stack overflow vulnerability that allows a local root user to access UEFI DXE driver and execute arbitrary code.📖 Read
via "National Vulnerability Database".
‼ CVE-2021-43323 ‼
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via "National Vulnerability Database".
An issue was discovered in UsbCoreDxe in Insyde InsydeH2O with kernel 5.5 before 05.51.45, 5.4 before 05.43.45, 5.3 before 05.35.45, 5.2 before 05.26.45, 5.1 before 05.16.45, and 5.0 before 05.08.45. An SMM callout vulnerability allows an attacker to hijack execution flow of code running in System Management Mode. Exploiting this issue could lead to escalating privileges to SMM.📖 Read
via "National Vulnerability Database".
‼ CVE-2021-41841 ‼
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via "National Vulnerability Database".
A vulnerability exists in SMM (System Management Mode) branch that registers a SWSMI handler that does not sufficiently check or validate the allocated table variables EFI_BOOT_SERVICES and EFI_RUNTIME_SERVICES. This can be used by an attacker to overwrite address location of the function (LocateHandleBuffer) to the address location of arbitrary code controlled by the attacker. On system call to SWSMI handler, the arbitrary code can be triggered to execute.📖 Read
via "National Vulnerability Database".
🗓️ SnapFuzz: New fuzzing tool speeds up testing of network applications 🗓️
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via "The Daily Swig".
Though still in its early stages, SnapFuzz is already showing some promising results📖 Read
via "The Daily Swig".
‼ CVE-2022-23568 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-21731 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-23567 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-21727 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-21726 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-21736 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseTensorSliceDataset` has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value. The 3 input arguments to `SparseTensorSliceDataset` represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-21730 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-21732 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of `ThreadPoolHandle` can be used to trigger a denial of service attack by allocating too much memory. This is because the `num_threads` argument is only checked to not be negative, but there is no upper bound on its value. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-21733 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
‼ CVE-2022-21728 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".
🕴 Hackers Went Wild in 2021 — Every Company Should Do These 5 Things in 2022 🕴
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via "Dark Reading".
Practical steps companies can take to defend their critical infrastructure and avoid the financial and reputational damage that could result from a breach.📖 Read
via "Dark Reading".
Dark Reading
Hackers Went Wild in 2021 — Every Company Should Do These 5 Things in 2022
Practical steps companies can take to defend their critical infrastructure and avoid the financial and reputational damage that could result from a breach.
‼ CVE-2022-21729 ‼
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via "National Vulnerability Database".
Tensorflow is an Open Source Machine Learning Framework. The implementation of `UnravelIndex` is vulnerable to a division by zero caused by an integer overflow bug. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.📖 Read
via "National Vulnerability Database".