In affected versions of the Octopus Kubernetes worker or agent, sensitive variables could be written to the Kubernetes script pod log in clear-text. This was identified in Version 2 however it was determined that this could also be achieved in Version 1 and the fix was applied to both versions accordingly.

Karmada is a Kubernetes management system that allows users to run cloud-native applications across multiple Kubernetes clusters and clouds. Prior to version 1.12.0, both in karmadactl and karmada-operator, it is possible to supply a filesystem path, or an HTTP(s) URL to retrieve the custom resource definitions(CRDs) needed by Karmada. The CRDs are downloaded as a gzipped tarfile and are vulnerable to a TarSlip vulnerability. An attacker able to supply a malicious CRD file into a Karmada initialization could write arbitrary files in arbitrary paths of the filesystem. From Karmada version 1.12.0, when processing custom CRDs files, CRDs archive verification is utilized to enhance file system robustness. A workaround is available. Someone who needs to set flag `--crd` to customize the CRD files required for Karmada initialization when using `karmadactl init` to set up Karmada can manually inspect the CRD files to check whether they contain sequences such as `../` that would alter file paths, to determine if they potentially include malicious files. When using karmada-operator to set up Karmada, one must upgrade one's karmada-operator to one of the fixed versions.

Karmada is a Kubernetes management system that allows users to run cloud-native applications across multiple Kubernetes clusters and clouds. Prior to version 1.12.0, the PULL mode clusters registered with the `karmadactl register` command have excessive privileges to access control plane resources. By abusing these permissions, an attacker able to authenticate as the karmada-agent to a karmada cluster would be able to obtain administrative privileges over the entire federation system including all registered member clusters. Since Karmada v1.12.0, command `karmadactl register` restricts the access permissions of pull mode member clusters to control plane resources. This way, an attacker able to authenticate as the karmada-agent cannot control other member clusters in Karmada. As a workaround, one may restrict the access permissions of pull mode member clusters to control plane resources according to Karmada Component Permissions Docs.

A flaw was found in the skupper console, a read-only interface that renders cluster network, traffic details, and metrics for a network application that a user sets up across a hybrid multi-cloud environment. When the default authentication method is used, a random password is generated for the "admin" user and is persisted in either a Kubernetes secret or a podman volume in a plaintext file. This authentication method can be manipulated by an attacker, leading to the reading of any user-readable file in the container filesystem, directly impacting data confidentiality. Additionally, the attacker may induce skupper to read extremely large files into memory, resulting in resource exhaustion and a denial of service attack.

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. When using `--auth-mode=client`, Archived Workflows can be retrieved with a fake or spoofed token via the GET Workflow endpoint: `/api/v1/workflows/{namespace}/{name}` or when using `--auth-mode=sso`, all Archived Workflows can be retrieved with a valid token via the GET Workflow endpoint: `/api/v1/workflows/{namespace}/{name}`. No authentication is performed by the Server itself on `client` tokens. Authentication & authorization is instead delegated to the k8s API server. However, the Workflow Archive does not interact with k8s, and so any token that looks valid will be considered authenticated, even if it is not a k8s token or even if the token has no RBAC for Argo. To handle the lack of pass-through k8s authN/authZ, the Workflow Archive specifically does the equivalent of a `kubectl auth can-i` check for respective methods. In 3.5.7 and 3.5.8, the auth check was accidentally removed on the GET Workflow endpoint's fallback to archived workflows on these lines, allowing archived workflows to be retrieved with a fake token. This vulnerability is fixed in 3.6.2 and 3.5.13.

The Kubernetes kubelet component allows arbitrary command execution via specially crafted gitRepo volumes.This issue affects kubelet: through 1.28.11, from 1.29.0 through 1.29.6, from 1.30.0 through 1.30.2.

In the Linux kernel, the following vulnerability has been resolved: smb: client: Fix use-after-free of network namespace. Recently, we got a customer report that CIFS triggers oops while reconnecting to a server. [0] The workload runs on Kubernetes, and some pods mount CIFS servers in non-root network namespaces. The problem rarely happened, but it was always while the pod was dying. The root cause is wrong reference counting for network namespace. CIFS uses kernel sockets, which do not hold refcnt of the netns that the socket belongs to. That means CIFS must ensure the socket is always freed before its netns; otherwise, use-after-free happens. The repro steps are roughly: 1. mount CIFS in a non-root netns 2. drop packets from the netns 3. destroy the netns 4. unmount CIFS We can reproduce the issue quickly with the script [1] below and see the splat [2] if CONFIG_NET_NS_REFCNT_TRACKER is enabled. When the socket is TCP, it is hard to guarantee the netns lifetime without holding refcnt due to async timers. Let's hold netns refcnt for each socket as done for SMC in commit 9744d2bf1976 ("smc: Fix use-after-free in tcp_write_timer_handler()."). Note that we need to move put_net() from cifs_put_tcp_session() to clean_demultiplex_info(); otherwise, __sock_create() still could touch a freed netns while cifsd tries to reconnect from cifs_demultiplex_thread(). Also, maybe_get_net() cannot be put just before __sock_create() because the code is not under RCU and there is a small chance that the same address happened to be reallocated to another netns. [0]: CIFS: VFS: \\XXXXXXXXXXX has not responded in 15 seconds. Reconnecting... CIFS: Serverclose failed 4 times, giving up Unable to handle kernel paging request at virtual address 14de99e461f84a07 Mem abort info: ESR = 0x0000000096000004 EC = 0x25: DABT (current EL), IL = 32 bits SET = 0, FnV = 0 EA = 0, S1PTW = 0 FSC = 0x04: level 0 translation fault Data abort info: ISV = 0, ISS = 0x00000004 CM = 0, WnR = 0 [14de99e461f84a07] address between user and kernel address ranges Internal error: Oops: 0000000096000004 [#1] SMP Modules linked in: cls_bpf sch_ingress nls_utf8 cifs cifs_arc4 cifs_md4 dns_resolver tcp_diag inet_diag veth xt_state xt_connmark nf_conntrack_netlink xt_nat xt_statistic xt_MASQUERADE xt_mark xt_addrtype ipt_REJECT nf_reject_ipv4 nft_chain_nat nf_nat xt_conntrack nf_conntrack nf_defrag_ipv6 nf_defrag_ipv4 xt_comment nft_compat nf_tables nfnetlink overlay nls_ascii nls_cp437 sunrpc vfat fat aes_ce_blk aes_ce_cipher ghash_ce sm4_ce_cipher sm4 sm3_ce sm3 sha3_ce sha512_ce sha512_arm64 sha1_ce ena button sch_fq_codel loop fuse configfs dmi_sysfs sha2_ce sha256_arm64 dm_mirror dm_region_hash dm_log dm_mod dax efivarfs CPU: 5 PID: 2690970 Comm: cifsd Not tainted 6.1.103-109.184.amzn2023.aarch64 #1 Hardware name: Amazon EC2 r7g.4xlarge/, BIOS 1.0 11/1/2018 pstate: 00400005 (nzcv daif +PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : fib_rules_lookup+0x44/0x238 lr : __fib_lookup+0x64/0xbc sp : ffff8000265db790 x29: ffff8000265db790 x28: 0000000000000000 x27: 000000000000bd01 x26: 0000000000000000 x25: ffff000b4baf8000 x24: ffff00047b5e4580 x23: ffff8000265db7e0 x22: 0000000000000000 x21: ffff00047b5e4500 x20: ffff0010e3f694f8 x19: 14de99e461f849f7 x18: 0000000000000000 x17: 0000000000000000 x16: 0000000000000000 x15: 0000000000000000 x14: 0000000000000000 x13: 0000000000000000 x12: 3f92800abd010002 x11: 0000000000000001 x10: ffff0010e3f69420 x9 : ffff800008a6f294 x8 : 0000000000000000 x7 : 0000000000000006 x6 : 0000000000000000 x5 : 0000000000000001 x4 : ffff001924354280 x3 : ffff8000265db7e0 x2 : 0000000000000000 x1 : ffff0010e3f694f8 x0 : ffff00047b5e4500 Call trace: fib_rules_lookup+0x44/0x238 __fib_lookup+0x64/0xbc ip_route_output_key_hash_rcu+0x2c4/0x398 ip_route_output_key_hash+0x60/0x8c tcp_v4_connect+0x290/0x488 __inet_stream_connect+0x108/0x3d0 inet_stream_connect+0x50/0x78 kernel_connect+0x6c/0xac generic_ip_conne ---truncated---

An issue was discovered in GitLab CE/EE affecting all versions starting from 16.0 prior to 17.3.7, starting from 17.4 prior to 17.4.4, and starting from 17.5 prior to 17.5.2, which could have allowed unauthorized access to the Kubernetes agent in a cluster under specific configurations.

devtron is an open source tool integration platform for Kubernetes. In affected versions an authenticated user (with minimum permission) could utilize and exploit SQL Injection to allow the execution of malicious SQL queries via CreateUser API (/orchestrator/user). This issue has been addressed in version 0.7.2 and all users are advised to upgrade. There are no known workarounds for this vulnerability.

Kyverno is a policy engine designed for Kubernetes. A kyverno ClusterPolicy, ie. "disallow-privileged-containers," can be overridden by the creation of a PolicyException in a random namespace. By design, PolicyExceptions are consumed from any namespace. Administrators may not recognize that this allows users with privileges to non-kyverno namespaces to create exceptions. This vulnerability is fixed in 1.13.0.

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Due to a race condition in a global variable in 3.6.0-rc1, the argo workflows controller can be made to crash on-command by any user with access to execute a workflow. This vulnerability is fixed in 3.6.0-rc2.

A security issue was discovered in the Kubernetes Image Builder versions <= v0.1.37 where default credentials are enabled during the image build process when using the Nutanix, OVA, QEMU or raw providers. The credentials can be used to gain root access. The credentials are disabled at the conclusion of the image build process. Kubernetes clusters are only affected if their nodes use VM images created via the Image Builder project. Because these images were vulnerable during the image build process, they are affected only if an attacker was able to reach the VM where the image build was happening and used the vulnerability to modify the image at the time the image build was occurring.

A security issue was discovered in the Kubernetes Image Builder versions <= v0.1.37 where default credentials are enabled during the image build process. Virtual machine images built using the Proxmox provider do not disable these default credentials, and nodes using the resulting images may be accessible via these default credentials. The credentials can be used to gain root access. Kubernetes clusters are only affected if their nodes use VM images created via the Image Builder project with its Proxmox provider.

JUJU_CONTEXT_ID is a predictable authentication secret. On a Juju machine (non-Kubernetes) or Juju charm container (on Kubernetes), an unprivileged user in the same network namespace can connect to an abstract domain socket and guess the JUJU_CONTEXT_ID value. This gives the unprivileged user access to the same information and tools as the Juju charm.

External Secrets Operator is a Kubernetes operator that integrates external secret management systems. The external-secrets has a deployment called default-external-secrets-cert-controller, which is bound with a same-name ClusterRole. This ClusterRole has "get/list" verbs of secrets resources. It also has path/update verb of validatingwebhookconfigurations resources. This can be used to abuse the SA token of the deployment to retrieve or get ALL secrets in the whole cluster, capture and log all data from requests attempting to update Secrets, or make a webhook deny all Pod create and update requests. This vulnerability is fixed in 0.10.2.

runc is a CLI tool for spawning and running containers according to the OCI specification. runc 1.1.13 and earlier, as well as 1.2.0-rc2 and earlier, can be tricked into creating empty files or directories in arbitrary locations in the host filesystem by sharing a volume between two containers and exploiting a race with `os.MkdirAll`. While this could be used to create empty files, existing files would not be truncated. An attacker must have the ability to start containers using some kind of custom volume configuration. Containers using user namespaces are still affected, but the scope of places an attacker can create inodes can be significantly reduced. Sufficiently strict LSM policies (SELinux/Apparmor) can also in principle block this attack -- we suspect the industry standard SELinux policy may restrict this attack's scope but the exact scope of protection hasn't been analysed. This is exploitable using runc directly as well as through Docker and Kubernetes. The issue is fixed in runc v1.1.14 and v1.2.0-rc3. Some workarounds are available. Using user namespaces restricts this attack fairly significantly such that the attacker can only create inodes in directories that the remapped root user/group has write access to. Unless the root user is remapped to an actual user on the host (such as with rootless containers that don't use `/etc/sub[ug]id`), this in practice means that an attacker would only be able to create inodes in world-writable directories. A strict enough SELinux or AppArmor policy could in principle also restrict the scope if a specific label is applied to the runc runtime, though neither the extent to which the standard existing policies block this attack nor what exact policies are needed to sufficiently restrict this attack have been thoroughly tested.

The Bare Metal Operator (BMO) implements a Kubernetes API for managing bare metal hosts in Metal3. The `BareMetalHost` (BMH) CRD allows the `userData`, `metaData`, and `networkData` for the provisioned host to be specified as links to Kubernetes Secrets. There are fields for both the `Name` and `Namespace` of the Secret, meaning that versions of the baremetal-operator prior to 0.8.0, 0.6.2, and 0.5.2 will read a `Secret` from any namespace. A user with access to create or edit a `BareMetalHost` can thus exfiltrate a `Secret` from another namespace by using it as e.g. the `userData` for provisioning some host (note that this need not be a real host, it could be a VM somewhere). BMO will only read a key with the name `value` (or `userData`, `metaData`, or `networkData`), so that limits the exposure somewhat. `value` is probably a pretty common key though. Secrets used by _other_ `BareMetalHost`s in different namespaces are always vulnerable. It is probably relatively unusual for anyone other than cluster administrators to have RBAC access to create/edit a `BareMetalHost`. This vulnerability is only meaningful, if the cluster has users other than administrators and users' privileges are limited to their respective namespaces. The patch prevents BMO from accepting links to Secrets from other namespaces as BMH input. Any BMH configuration is only read from the same namespace only. The problem is patched in BMO releases v0.7.0, v0.6.2 and v0.5.2 and users should upgrade to those versions. Prior upgrading, duplicate the BMC Secrets to the namespace where the corresponding BMH is. After upgrade, remove the old Secrets. As a workaround, an operator can configure BMO RBAC to be namespace scoped for Secrets, instead of cluster scoped, to prevent BMO from accessing Secrets from other namespaces.

Kanister is a data protection workflow management tool. The kanister has a deployment called default-kanister-operator, which is bound with a ClusterRole called edit via ClusterRoleBinding. The "edit" ClusterRole is one of Kubernetes default-created ClusterRole, and it has the create/patch/udpate verbs of daemonset resources, create verb of serviceaccount/token resources, and impersonate verb of serviceaccounts resources. A malicious user can leverage access the worker node which has this component to make a cluster-level privilege escalation.

Prior to 3385, the user-controlled role parameter enters the application in the Kubernetes::RoleVerificationsController. The role parameter flows into the RoleConfigFile initializer and then into the Kubernetes::Util.parse_file method where it is unsafely deserialized using the YAML.load_stream method. This issue may lead to Remote Code Execution (RCE). This vulnerability is fixed in 3385.

Capsule is a multi-tenancy and policy-based framework for Kubernetes. In Capsule v0.7.0 and earlier, the tenant-owner can patch any arbitrary namespace that has not been taken over by a tenant (i.e., namespaces without the ownerReference field), thereby gaining control of that namespace.