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Search Results (51015 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2022-43581 | 1 Ibm | 1 Content Navigator | 2025-04-22 | 7.5 High |
| IBM Content Navigator 3.0.0, 3.0.1, 3.0.2, 3.0.3, 3.0.4, 3.0.5, 3.0.6, 3.0.7, 3.0.8, 3.0.9, 3.0.10, 3.0.11, and 3.0.12 is vulnerable to missing authorization and could allow an authenticated user to load external plugins and execute code. IBM X-Force ID: 238805. | ||||
| CVE-2022-45997 | 1 Tenda | 2 W15e, W20e Firmware | 2025-04-22 | 7.2 High |
| Tenda W20E V16.01.0.6(3392) is vulnerable to Buffer Overflow. | ||||
| CVE-2022-21670 | 1 Markdown-it Project | 1 Markdown-it | 2025-04-22 | 5.3 Medium |
| markdown-it is a Markdown parser. Prior to version 1.3.2, special patterns with length greater than 50 thousand characterss could slow down the parser significantly. Users should upgrade to version 12.3.2 to receive a patch. There are no known workarounds aside from upgrading. | ||||
| CVE-2022-21680 | 3 Fedoraproject, Marked Project, Redhat | 3 Fedora, Marked, Ceph Storage | 2025-04-22 | 7.5 High |
| Marked is a markdown parser and compiler. Prior to version 4.0.10, the regular expression `block.def` may cause catastrophic backtracking against some strings and lead to a regular expression denial of service (ReDoS). Anyone who runs untrusted markdown through a vulnerable version of marked and does not use a worker with a time limit may be affected. This issue is patched in version 4.0.10. As a workaround, avoid running untrusted markdown through marked or run marked on a worker thread and set a reasonable time limit to prevent draining resources. | ||||
| CVE-2022-21681 | 3 Fedoraproject, Marked Project, Redhat | 3 Fedora, Marked, Ceph Storage | 2025-04-22 | 7.5 High |
| Marked is a markdown parser and compiler. Prior to version 4.0.10, the regular expression `inline.reflinkSearch` may cause catastrophic backtracking against some strings and lead to a denial of service (DoS). Anyone who runs untrusted markdown through a vulnerable version of marked and does not use a worker with a time limit may be affected. This issue is patched in version 4.0.10. As a workaround, avoid running untrusted markdown through marked or run marked on a worker thread and set a reasonable time limit to prevent draining resources. | ||||
| CVE-2022-21711 | 1 Elfspirit Project | 1 Elfspirit | 2025-04-22 | 7.1 High |
| elfspirit is an ELF static analysis and injection framework that parses, manipulates, and camouflages ELF files. When analyzing the ELF file format in versions prior to 1.1, there is an out-of-bounds read bug, which can lead to application crashes or information leakage. By constructing a special format ELF file, the information of any address can be leaked. elfspirit version 1.1 contains a patch for this issue. | ||||
| CVE-2022-23587 | 1 Google | 1 Tensorflow | 2025-04-22 | 8.8 High |
| Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. 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. | ||||
| CVE-2022-23592 | 1 Google | 1 Tensorflow | 2025-04-22 | 8.1 High |
| Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a `DCHECK` (which is a no-op during production). An attacker can control the `input_idx` variable such that `ix` would be larger than the number of values in `node_t.args`. The fix will be included in TensorFlow 2.8.0. This is the only affected version. | ||||
| CVE-2022-23576 | 1 Google | 1 Tensorflow | 2025-04-22 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. 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. | ||||
| CVE-2022-23575 | 1 Google | 1 Tensorflow | 2025-04-22 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. 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. | ||||
| CVE-2022-23580 | 1 Google | 1 Tensorflow | 2025-04-22 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. 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. | ||||
| CVE-2022-23574 | 1 Google | 1 Tensorflow | 2025-04-22 | 8.8 High |
| Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range. | ||||
| CVE-2022-23560 | 1 Google | 1 Tensorflow | 2025-04-22 | 8.8 High |
| Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is 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. Users are advised to upgrade as soon as possible. | ||||
| CVE-2022-23559 | 1 Google | 1 Tensorflow | 2025-04-22 | 8.8 High |
| Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version. | ||||
| CVE-2022-23558 | 1 Google | 1 Tensorflow | 2025-04-22 | 7.6 High |
| Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. 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. | ||||
| CVE-2022-21716 | 5 Debian, Fedoraproject, Oracle and 2 more | 6 Debian Linux, Fedora, Http Server and 3 more | 2025-04-22 | 7.5 High |
| Twisted is an event-based framework for internet applications, supporting Python 3.6+. Prior to 22.2.0, Twisted SSH client and server implement is able to accept an infinite amount of data for the peer's SSH version identifier. This ends up with a buffer using all the available memory. The attach is a simple as `nc -rv localhost 22 < /dev/zero`. A patch is available in version 22.2.0. There are currently no known workarounds. | ||||
| CVE-2022-24724 | 3 Fedoraproject, Github, Redhat | 3 Fedora, Cmark-gfm, Enterprise Linux | 2025-04-22 | 8.8 High |
| cmark-gfm is GitHub's extended version of the C reference implementation of CommonMark. Prior to versions 0.29.0.gfm.3 and 0.28.3.gfm.21, an integer overflow in cmark-gfm's table row parsing `table.c:row_from_string` may lead to heap memory corruption when parsing tables who's marker rows contain more than UINT16_MAX columns. The impact of this heap corruption ranges from Information Leak to Arbitrary Code Execution depending on how and where `cmark-gfm` is used. If `cmark-gfm` is used for rendering remote user controlled markdown, this vulnerability may lead to Remote Code Execution (RCE) in applications employing affected versions of the `cmark-gfm` library. This vulnerability has been patched in the following cmark-gfm versions 0.29.0.gfm.3 and 0.28.3.gfm.21. A workaround is available. The vulnerability exists in the table markdown extensions of cmark-gfm. Disabling the table extension will prevent this vulnerability from being triggered. | ||||
| CVE-2022-24723 | 2 Redhat, Uri.js Project | 3 Acm, Jboss Fuse, Uri.js | 2025-04-22 | 5.3 Medium |
| URI.js is a Javascript URL mutation library. Before version 1.19.9, whitespace characters are not removed from the beginning of the protocol, so URLs are not parsed properly. This issue has been patched in version 1.19.9. Removing leading whitespace from values before passing them to URI.parse can be used as a workaround. | ||||
| CVE-2022-24760 | 3 Canonical, Microsoft, Parseplatform | 3 Ubuntu Linux, Windows, Parse-server | 2025-04-22 | 10 Critical |
| Parse Server is an open source http web server backend. In versions prior to 4.10.7 there is a Remote Code Execution (RCE) vulnerability in Parse Server. This vulnerability affects Parse Server in the default configuration with MongoDB. The main weakness that leads to RCE is the Prototype Pollution vulnerable code in the file `DatabaseController.js`, so it is likely to affect Postgres and any other database backend as well. This vulnerability has been confirmed on Linux (Ubuntu) and Windows. Users are advised to upgrade as soon as possible. The only known workaround is to manually patch your installation with code referenced at the source GHSA-p6h4-93qp-jhcm. | ||||
| CVE-2022-24795 | 2 Redhat, Yajl-ruby Project | 3 Enterprise Linux, Rhel Eus, Yajl-ruby | 2025-04-22 | 5.9 Medium |
| yajl-ruby is a C binding to the YAJL JSON parsing and generation library. The 1.x branch and the 2.x branch of `yajl` contain an integer overflow which leads to subsequent heap memory corruption when dealing with large (~2GB) inputs. The reallocation logic at `yajl_buf.c#L64` may result in the `need` 32bit integer wrapping to 0 when `need` approaches a value of 0x80000000 (i.e. ~2GB of data), which results in a reallocation of buf->alloc into a small heap chunk. These integers are declared as `size_t` in the 2.x branch of `yajl`, which practically prevents the issue from triggering on 64bit platforms, however this does not preclude this issue triggering on 32bit builds on which `size_t` is a 32bit integer. Subsequent population of this under-allocated heap chunk is based on the original buffer size, leading to heap memory corruption. This vulnerability mostly impacts process availability. Maintainers believe exploitation for arbitrary code execution is unlikely. A patch is available and anticipated to be part of yajl-ruby version 1.4.2. As a workaround, avoid passing large inputs to YAJL. | ||||