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# CWA-2024-008 **Severity** Medium (Moderate + Likely)[^1] **Affected versions:** - wasmvm >= 2.1.0, < 2.1.3 - wasmvm >= 2.0.0, < 2.0.4 - wasmvm < 1.5.5 - cosmwasm-vm >= 2.1.0, < 2.1.4 - cosmwasm-vm >= 2.0.0, < 2.0.7 - cosmwasm-vm < 1.5.8 **Patched versions:** - wasmvm 1.5.5, 2.0.4, 2.1.3 - cosmwasm-vm 1.5.8, 2.0.7, 2.1.4 ## Description of the bug (Blank for now. We'll add more detail once chains had a chance to upgrade.) ## Patch - 1.5: https://github.com/CosmWasm/cosmwasm/commit/edcdbc520d4f5521eed42de6e2869658278e91fd - 2.0: https://github.com/CosmWasm/cosmwasm/commit/f63429ca59eb44dd5d780c1572016581337091e4 - 2.1: https://github.com/CosmWasm/cosmwasm/commit/108e7dcbf9c21df0fa83f355ad3a7355d7f220cb ## Applying the patch The patch will be shipped in releases of wasmvm. You can update more or less as follows: 1. Check the current wasmvm version: `go list -m github.com/CosmWasm/wasmvm` 2. Bump the `github.com/CosmWasm/wasmvm` dependency in your go.mod to 1.5.5, 2.0.4, 2.1....

# CWA-2024-007 **Severity** Medium (Moderate + Likely)[^1] **Affected versions:** - wasmvm >= 2.1.0, < 2.1.3 - wasmvm >= 2.0.0, < 2.0.4 - wasmvm < 1.5.5 - cosmwasm-vm >= 2.1.0, < 2.1.4 - cosmwasm-vm >= 2.0.0, < 2.0.7 - cosmwasm-vm < 1.5.8 **Patched versions:** - wasmvm 1.5.5, 2.0.4, 2.1.3 - cosmwasm-vm 1.5.8, 2.0.7, 2.1.4 ## Description of the bug (Blank for now. We'll add more detail once chains had a chance to upgrade.) ## Patch - 1.5: https://github.com/CosmWasm/cosmwasm/commit/16eabd681790508b13dac8e67f9e6e61045240ea - 2.0: https://github.com/CosmWasm/cosmwasm/commit/0e70bd83119b02f99a2c0397f0913e0803750fd9 - 2.1: https://github.com/CosmWasm/cosmwasm/commit/f5bf24f3acadca2892afd58cc3ce5fdeb932d492 ## Applying the patch The patch will be shipped in releases of wasmvm. You can update more or less as follows: 1. Check the current wasmvm version: `go list -m github.com/CosmWasm/wasmvm` 2. Bump the `github.com/CosmWasm/wasmvm` dependency in your go.mod to 1.5.5, 2.0.4, 2.1....

### Impact Graylog users can gain elevated privileges by creating and using API tokens for the local Administrator or any other user for whom the malicious user knows the ID. For the attack to succeed, the attacker needs a user account in Graylog. They can then proceed to issue hand-crafted requests to the Graylog REST API and exploit a weak permission check for token creation. ### Workarounds In Graylog version `6.2.0` and above, regular users can be restricted from creating API tokens. The respective configuration can be found in `System > Configuration > Users > "Allow users to create personal access tokens"`. This option should be *Disabled*, so that only administrators are allowed to create tokens. ### Recommended Actions After upgrading Graylog from a vulnerable version to a patched version, administrators are advised to perform the following steps to ensure the integrity of their system: #### Review API tokens An overview of all existing API tokens is available at `Syste...

A DMA reentrancy issue was found in the Tulip device emulation in QEMU. When Tulip reads or writes to the rx/tx descriptor or copies the rx/tx frame, it doesn't check whether the destination address is its own MMIO address. This can cause the device to trigger MMIO handlers multiple times, possibly leading to a stack or heap overflow. A malicious guest could use this flaw to crash the QEMU process on the host, resulting in a denial of service condition.

sf-pcapng.c in libpcap before 1.9.1 does not properly validate the PHB header length before allocating memory.

In Grandstream GSD3710 in its 1.0.11.13 version, it's possible to overflow the stack since it doesn't check the param length before using the sscanf instruction. Because of that, an attacker could create a socket and connect with a remote IP:port by opening a shell and getting full access to the system. The exploit affects daemons dbmng and logsrv that are running on ports 8000 and 8001 by default.

["TensorFlow is an end-to-end open source platform for machine learning. In affected versions the code for `tf.raw_ops.SaveV2` does not properly validate the inputs and an attacker can trigger a null pointer dereference. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/save_restore_v2_ops.cc) uses `ValidateInputs` to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses `OP_REQUIRES` which translates to setting the `Status` object of the current `OpKernelContext` to an error status, followed by an empty `return` statement which just terminates the execution of the function it is present in. However, this does not mean that the kernel execution is finalized: instead, execution continues from the next line in `Compute` that follows the call to `ValidateInputs`. This is equivalent to lacking the validat...

["TensorFlow is an end-to-end open source platform for machine learning. In affected versions the code for `tf.raw_ops.SaveV2` does not properly validate the inputs and an attacker can trigger a null pointer dereference. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/save_restore_v2_ops.cc) uses `ValidateInputs` to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses `OP_REQUIRES` which translates to setting the `Status` object of the current `OpKernelContext` to an error status, followed by an empty `return` statement which just terminates the execution of the function it is present in. However, this does not mean that the kernel execution is finalized: instead, execution continues from the next line in `Compute` that follows the call to `ValidateInputs`. This is equivalent to lacking the validat...

In the server in SerNet verinice before 1.22.2, insecure Java deserialization allows remote authenticated attackers to execute arbitrary code.

A vulnerability in the classic access control list (ACL) compression feature of Cisco IOS XR Software could allow an unauthenticated, remote attacker to bypass the protection that is offered by a configured ACL on an affected device. This vulnerability is due to incorrect destination address range encoding in the compression module of an ACL that is applied to an interface of an affected device. An attacker could exploit this vulnerability by sending traffic through the affected device that should be denied by the configured ACL. A successful exploit could allow the attacker to bypass configured ACL protections on the affected device, allowing the attacker to access trusted networks that the device might be protecting. There are workarounds that address this vulnerability. This advisory is part of the September 2023 release of the Cisco IOS XR Software Security Advisory Bundled Publication. For a complete list of the advisories and links to them, see Cisco Event Resp...