Total
11506 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-35974 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 5.9 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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. | |||||
| CVE-2022-35973 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 5.9 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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. | |||||
| CVE-2022-35972 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 5.9 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` 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. | |||||
| CVE-2022-35970 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 5.9 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_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. | |||||
| CVE-2022-35967 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 5.9 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` 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 49b3824d83af706df0ad07e4e677d88659756d89. 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. | |||||
| CVE-2022-35966 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 5.9 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` 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 7cdf9d4d2083b739ec81cfdace546b0c99f50622. 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. | |||||
| CVE-2022-35964 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 5.9 MEDIUM |
| TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. 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. | |||||
| CVE-2022-35924 | 1 Nextauth.js | 1 Next-auth | 2024-11-21 | N/A | 9.1 CRITICAL |
| NextAuth.js is a complete open source authentication solution for Next.js applications. `next-auth` users who are using the `EmailProvider` either in versions before `4.10.3` or `3.29.10` are affected. If an attacker could forge a request that sent a comma-separated list of emails (eg.: `attacker@attacker.com,victim@victim.com`) to the sign-in endpoint, NextAuth.js would send emails to both the attacker and the victim's e-mail addresses. The attacker could then login as a newly created user with the email being `attacker@attacker.com,victim@victim.com`. This means that basic authorization like `email.endsWith("@victim.com")` in the `signIn` callback would fail to communicate a threat to the developer and would let the attacker bypass authorization, even with an `@attacker.com` address. This vulnerability has been patched in `v4.10.3` and `v3.29.10` by normalizing the email value that is sent to the sign-in endpoint before accessing it anywhere else. We also added a `normalizeIdentifier` callback on the `EmailProvider` configuration, where you can further tweak your requirements for what your system considers a valid e-mail address. (E.g.: strict RFC2821 compliance). Users are advised to upgrade. There are no known workarounds for this vulnerability. If for some reason you cannot upgrade, you can normalize the incoming request using Advanced Initialization. | |||||
| CVE-2022-35724 | 1 Apache | 1 Avro | 2024-11-21 | N/A | 7.5 HIGH |
| It is possible to provide data to be read that leads the reader to loop in cycles endlessly, consuming CPU. This issue affects Rust applications using Apache Avro Rust SDK prior to 0.14.0 (previously known as avro-rs). Users should update to apache-avro version 0.14.0 which addresses this issue. | |||||
| CVE-2022-35668 | 3 Adobe, Apple, Microsoft | 6 Acrobat, Acrobat Dc, Acrobat Reader and 3 more | 2024-11-21 | N/A | 5.5 MEDIUM |
| Adobe Acrobat Reader versions 22.001.20169 (and earlier), 20.005.30362 (and earlier) and 17.012.30249 (and earlier) are affected by an Improper Input Validation vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file. | |||||
| CVE-2022-35666 | 3 Adobe, Apple, Microsoft | 6 Acrobat, Acrobat Dc, Acrobat Reader and 3 more | 2024-11-21 | N/A | 7.8 HIGH |
| Adobe Acrobat Reader versions 22.001.20169 (and earlier), 20.005.30362 (and earlier) and 17.012.30249 (and earlier) are affected by an Improper Input Validation vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file. | |||||
| CVE-2022-35650 | 2 Fedoraproject, Moodle | 2 Fedora, Moodle | 2024-11-21 | N/A | 7.5 HIGH |
| The vulnerability was found in Moodle, occurs due to input validation error when importing lesson questions. This insufficient path checks results in arbitrary file read risk. This vulnerability allows a remote attacker to perform directory traversal attacks. The capability to access this feature is only available to teachers, managers and admins by default. | |||||
| CVE-2022-35649 | 2 Fedoraproject, Moodle | 2 Fedora, Moodle | 2024-11-21 | N/A | 9.8 CRITICAL |
| The vulnerability was found in Moodle, occurs due to improper input validation when parsing PostScript code. An omitted execution parameter results in a remote code execution risk for sites running GhostScript versions older than 9.50. Successful exploitation of this vulnerability may result in complete compromise of vulnerable system. | |||||
| CVE-2022-35415 | 1 Ni | 1 Configuration Manager | 2024-11-21 | N/A | 7.8 HIGH |
| An improper input validation in NI System Configuration Manager before 22.5 may allow a privileged user to potentially enable escalation of privilege via local access. | |||||
| CVE-2022-35404 | 1 Zohocorp | 4 Manageengine Firewall Analyzer, Manageengine Netflow Analyzer, Manageengine Network Configuration Manager and 1 more | 2024-11-21 | N/A | 8.2 HIGH |
| ManageEngine Password Manager Pro 12100 and prior and OPManager 126100 and prior are vulnerable to unauthorized file and directory creation on a server machine. | |||||
| CVE-2022-35239 | 1 Contec | 4 Sv-cpt-mc310, Sv-cpt-mc310 Firmware, Sv-cpt-mc310f and 1 more | 2024-11-21 | N/A | 8.8 HIGH |
| The image file management page of SolarView Compact SV-CPT-MC310 Ver.7.23 and earlier, and SV-CPT-MC310F Ver.7.23 and earlier contains an insufficient verification vulnerability when uploading files. If this vulnerability is exploited, arbitrary PHP code may be executed if a remote authenticated attacker uploads a specially crafted PHP file. | |||||
| CVE-2022-35171 | 1 Sap | 1 3d Visual Enterprise Viewer | 2024-11-21 | 4.3 MEDIUM | 5.5 MEDIUM |
| When a user opens manipulated JPEG 2000 (.jp2, jp2k.x3d) files received from untrusted sources in SAP 3D Visual Enterprise Viewer, the application crashes and becomes temporarily unavailable to the user until restart of the application. The file format details along with their CVE relevant information can be found below | |||||
| CVE-2022-34916 | 1 Apache | 1 Flume | 2024-11-21 | N/A | 9.8 CRITICAL |
| Apache Flume versions 1.4.0 through 1.10.0 are vulnerable to a remote code execution (RCE) attack when a configuration uses a JMS Source with a JNDI LDAP data source URI when an attacker has control of the target LDAP server. This issue is fixed by limiting JNDI to allow only the use of the java protocol or no protocol. | |||||
| CVE-2022-34885 | 1 Motorola | 2 Mr2600, Mr2600 Firmware | 2024-11-21 | N/A | 7.2 HIGH |
| An improper input sanitization vulnerability in the Motorola MR2600 router could allow a local user with elevated permissions to execute arbitrary code. | |||||
| CVE-2022-34866 | 1 Yrl | 2 Passage Drive, Passage Drive For Box | 2024-11-21 | N/A | 7.8 HIGH |
| Passage Drive versions v1.4.0 to v1.5.1.0 and Passage Drive for Box version v1.0.0 contain an insufficient data verification vulnerability for interprocess communication. By running a malicious program, an arbitrary OS command may be executed with LocalSystem privilege of the Windows system where the product is running. | |||||