| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| Netgear R8500 v1.0.2.160 was discovered to contain a stack overflow via the ipv6_static_ip parameter in the ipv6_tunnel function. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted POST request. |
| Vyper is a pythonic Smart Contract Language for the ethereum virtual machine. In affected versions, the return of `<iface>.returns_int128()` is not validated to fall within the bounds of `int128`. This issue can result in a misinterpretation of the integer value and lead to incorrect behavior. As of v0.3.0, `<iface>.returns_int128()` is validated in simple expressions, but not complex expressions. Users are advised to upgrade. There is no known workaround for this issue. |
| In onCreate of EnableAccountPreferenceActivity.java, there is a possible way to mislead the user into enabling a malicious phone account due to a tapjacking/overlay attack. This could lead to local escalation of privilege with User execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12L Android-13Android ID: A-246933359 |
| Netgear R8500 v1.0.2.160 was discovered to contain a stack overflow via the sysDNSHost parameter at ddns.cgi. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted POST request. |
| Netgear R8500 v1.0.2.160 was discovered to contain multiple stack overflow vulnerabilities in the component wireless.cgi via the opmode, opmode_an, and opmode_an_2 parameters. These vulnerabilities allow attackers to cause a Denial of Service (DoS) via a crafted POST request. |
| Netgear R8500 v1.0.2.160 was discovered to contain a command injection vulnerability in the sysNewPasswd parameter at password.cgi. This vulnerability allows attackers to execute arbitrary OS commands via a crafted request. |
| Netgear R8500 v1.0.2.160 was discovered to contain multiple stack overflow vulnerabilities in the component openvpn.cgi via the openvpn_service_port and openvpn_service_port_tun parameters. These vulnerabilities allow attackers to cause a Denial of Service (DoS) via a crafted POST request. |
| Netgear R8500 v1.0.2.160 was discovered to contain a stack overflow via the share_name parameter at usb_remote_smb_conf.cgi. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted POST request. |
| Netgear R8500 v1.0.2.160 was discovered to contain multiple stack overflow vulnerabilities in the component ipv6_fix.cgi via the ipv6_wan_ipaddr, ipv6_lan_ipaddr, ipv6_wan_length, and ipv6_lan_length parameters. These vulnerabilities allow attackers to cause a Denial of Service (DoS) via a crafted POST request. |
| In JetBrains TeamCity between 2022.10 and 2022.10.1 connecting to AWS using the "Default Credential Provider Chain" allowed TeamCity project administrators to access AWS resources normally limited to TeamCity system administrators. |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LSTMBlockCell` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.Conv3DBackpropFilterV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate that the `filter_sizes` argument is a vector. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
