| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| TensorFlow is an open source platform for machine learning. If `Requantize` is given `input_min`, `input_max`, `requested_output_min`, `requested_output_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. |
| TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. |
| TensorFlow is an open source platform for machine learning. When `RangeSize` receives values that do not fit into an `int64_t`, it crashes. We have patched the issue in GitHub commit 37e64539cd29fcfb814c4451152a60f5d107b0f0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. |
| TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. |
| TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. |
| TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1. |
| TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. |
| TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ResizeNearestNeighborGrad` is given a large `size` input, it overflows. We have patched the issue in GitHub commit 00c821af032ba9e5f5fa3fe14690c8d28a657624. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. |
| TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. |
| discourse-bbcode is the official BBCode plugin for Discourse. Prior to commit 91478f5, CSS injection can occur when rendering content generated with the discourse-bccode plugin. This vulnerability only affects sites which have the discourse-bbcode plugin installed and enabled. This issue is patched in commit 91478f5. As a workaround, ensure that the Content Security Policy is enabled and monitor any posts that contain bbcode. |
| Python3-RESTfulAPI commit d9907f14e9e25dcdb54f5b22252b0e9452e3970e and e772e0beee284c50946e94c54a1d43071ca78b74 was discovered to contain a code execution backdoor via the request package. This vulnerability allows attackers to access sensitive user information and digital currency keys, as well as escalate privileges. |
| Use After Free vulnerability in Linux Kernel allows Privilege Escalation. An improper Update of Reference Count in io_uring leads to Use-After-Free and Local Privilege Escalation.
When io_msg_ring was invoked with a fixed file, it called io_fput_file() which improperly decreased its reference count (leading to Use-After-Free and Local Privilege Escalation). Fixed files are permanently registered to the ring, and should not be put separately.
We recommend upgrading past commit https://github.com/torvalds/linux/commit/fc7222c3a9f56271fba02aabbfbae999042f1679 https://github.com/torvalds/linux/commit/fc7222c3a9f56271fba02aabbfbae999042f1679
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| In F5 BIG-IP systems 12.1.0 - 12.1.2, malicious requests made to virtual servers with an HTTP profile can cause the TMM to restart. The issue is exposed with BIG-IP APM profiles, regardless of settings. The issue is also exposed with the non-default "Normalize URI" configuration options used in iRules and/or BIG-IP LTM policies. An attacker may be able to disrupt traffic or cause the BIG-IP system to fail over to another device in the device group. |
| Linux kernel: Exploitable memory corruption due to UFO to non-UFO path switch. When building a UFO packet with MSG_MORE __ip_append_data() calls ip_ufo_append_data() to append. However in between two send() calls, the append path can be switched from UFO to non-UFO one, which leads to a memory corruption. In case UFO packet lengths exceeds MTU, copy = maxfraglen - skb->len becomes negative on the non-UFO path and the branch to allocate new skb is taken. This triggers fragmentation and computation of fraggap = skb_prev->len - maxfraglen. Fraggap can exceed MTU, causing copy = datalen - transhdrlen - fraggap to become negative. Subsequently skb_copy_and_csum_bits() writes out-of-bounds. A similar issue is present in IPv6 code. The bug was introduced in e89e9cf539a2 ("[IPv4/IPv6]: UFO Scatter-gather approach") on Oct 18 2005. |
| An incorrect permissions vulnerability in Juniper Networks Junos OS on vMX may allow local unprivileged users on a host system read access to vMX or vPFE images and obtain sensitive information contained in them such as private cryptographic keys. This issue was found during internal product security testing. Juniper SIRT is not aware of any malicious exploitation of this vulnerability. No other Juniper Networks products or platforms are affected by this issue. Affected releases are Juniper Networks Junos OS 15.1 prior to 15.1F5; 14.1 prior to 14.1R8 |
| A vulnerability in the Advanced Malware Protection (AMP) file filtering feature of Cisco AsyncOS Software for Cisco Web Security Appliance (WSA) could allow an unauthenticated, remote attacker to bypass a configured AMP file filtering rule. The file types affected are zipped or archived file types. The vulnerability is due to incorrect and different file hash values when AMP scans the file. An attacker could exploit this vulnerability by sending a crafted email file attachment through the targeted device. An exploit could allow the attacker to bypass a configured AMP file filter. Cisco Bug IDs: CSCvf52943. |
| A vulnerability in Cisco WebEx Meetings Server could allow an unauthenticated, remote attacker to conduct a cross-site scripting (XSS) attack against a user of the affected system. The vulnerability is due to insufficient input validation of some parameters that are passed to the web server of the affected system. An attacker could exploit this vulnerability by convincing a user to follow a malicious link or by intercepting a user request and injecting malicious code into the request. A successful exploit could allow the attacker to execute arbitrary script code in the context of the affected web interface or allow the attacker to access sensitive browser-based information. Cisco Bug IDs: CSCvf51241, CSCvf51261. |
| Juniper Networks devices running affected Junos OS versions may be impacted by the receipt of a crafted BGP UPDATE which can lead to an rpd (routing process daemon) crash and restart. Repeated crashes of the rpd daemon can result in an extended denial of service condition. The affected Junos OS versions are: 15.1 prior to 15.1F2-S15, 15.1F5-S7, 15.1F6-S5, 15.1F7, 15.1R4-S7, 15.1R5-S2, 15.1R6; 15.1X49 prior to 15.1X49-D78, 15.1X49-D80; 15.1X53 prior to 15.1X53-D230, 15.1X53-D63, 15.1X53-D70; 16.1 prior to 16.1R3-S3, 16.1R4; 16.2 prior to 16.2R1-S3, 16.2R2; Releases prior to Junos OS 15.1 are unaffected by this vulnerability. 17.1R1, 17.2R1, and all subsequent releases have a resolution for this vulnerability. |
| In F5 BIG-IP 12.1.0 through 12.1.2, specific websocket traffic patterns may cause a disruption of service for virtual servers configured to use the websocket profile. |
| In F5 BIG-IP 12.1.0 through 12.1.2, permissions enforced by iControl can lag behind the actual permissions assigned to a user if the role_map is not reloaded between the time the permissions are changed and the time of the user's next request. This is a race condition that occurs rarely in normal usage; the typical period in which this is possible is limited to at most a few seconds after the permission change. |
