Total
13255 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-35982 | 1 Google | 1 Tensorflow | 2026-06-17 | N/A | 5.9 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. 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-2022-35979 | 1 Google | 1 Tensorflow | 2026-06-17 | N/A | 5.9 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, 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-2022-35974 | 1 Google | 1 Tensorflow | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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-2022-35896 | 1 Insyde | 1 Insydeh2o | 2026-06-17 | N/A | 6.0 MEDIUM |
| An issue SMM memory leak vulnerability in SMM driver (SMRAM was discovered in Insyde InsydeH2O with kernel 5.0 through 5.5. An attacker can dump SMRAM contents via the software SMI provided by the FvbServicesRuntimeDxe driver to read the contents of SMRAM, leading to information disclosure. | |||||
| CVE-2022-35893 | 1 Insyde | 1 Insydeh2o | 2026-06-17 | N/A | 8.2 HIGH |
| An issue was discovered in Insyde InsydeH2O with kernel 5.0 through 5.5. An SMM memory corruption vulnerability in the FvbServicesRuntimeDxe driver allows an attacker to write fixed or predictable data to SMRAM. Exploiting this issue could lead to escalating privileges to SMM. | |||||
| CVE-2022-35773 | 1 Microsoft | 1 Azure Real Time Operating System Guix Studio | 2026-06-17 | N/A | 7.8 HIGH |
| Azure RTOS GUIX Studio Remote Code Execution Vulnerability | |||||
| CVE-2022-35724 | 1 Apache | 1 Avro | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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 | 2026-06-17 | 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. | |||||