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A missing permission check in Jenkins CloudBees AWS Credentials Plugin 189.v3551d5642995 and earlier allows attackers with Overall/Read permission to connect to an AWS service using an attacker-specified token.
In widevine, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07446207; Issue ID: ALPS07446207.
NVIDIA DGX A100 contains a vulnerability in SBIOS in the BiosCfgTool, where a local user with elevated privileges can read and write beyond intended bounds in SMRAM, which may lead to code execution, escalation of privileges, denial of service, and information disclosure. The scope of impact can extend to other components.
In drivers/media/dvb-core/dmxdev.c in the Linux kernel through 5.19.10, there is a use-after-free caused by refcount races, affecting dvb_demux_open and dvb_dmxdev_release.
VMware ESXi contains a TOCTOU (Time-of-check Time-of-use) vulnerability that exists in the way temporary files are handled. A malicious actor with access to settingsd, may exploit this issue to escalate their privileges by writing arbitrary files.
Tech Transparency Project warns Chinese-owned VPNs like Turbo VPN and X-VPN remain on Apple and Google app stores, raising national security concerns.
Improper neutralization of active check command arguments in Checkmk < 2.1.0p32, < 2.0.0p38, < 2.2.0p4 leads to arbitrary command execution for authenticated users.
Connected Vehicle Systems Alliance (COVESA) up to v2.18.8 wwas discovered to contain a buffer overflow via the component /shared/dlt_common.c.
In multiple functions of mem_protect.c, there is a possible way to access hypervisor memory due to a memory access check in the wrong place. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.
Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. 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.