ghsa

### Impact The mempool maintains two data structures to keep track of outstanding transactions: a list and a map. These two data structures are supposed to be in sync all the time in the sense that the map tracks the index (if any) of the transaction in the list. Unfortunately, it is possible to have them out of sync. When this happens, the list may contain several copies of the same transaction. Because the map tracks a single index, it is then no longer possible to remove all the copies of the transaction from the list. This happens even if the duplicated transaction is later committed in a block. The only way to remove the transaction is by restarting the node. These are the steps to cause the above duplication problem. Everything should happen within one height, that is no `FinalizeBlock` or `BeginBlock` ABCI calls should happen while these steps are reproduced: 1. send transaction tx1 to the target full node via RPC 2. send N more different transactions to the target full no...

### Impact An internal modification to the way struct `PeerState` is serialized to JSON introduced a deadlock when new function MarshallJSON is called. This function can be called from two places: 1. Via logs * Setting the `consensus` logging module to "debug" level (should not happen in production), and * Setting the log output format to JSON 2. Via RPC `dump_consensus_state` Case 1 above, which should not be hit in production, will eventually hit the deadlock in most goroutines, effectively halting the node. In case 2, only the data structures related to the first peer will be deadlocked, together with the thread(s) dealing with the RPC request(s). This means that only one of the channels of communication to the node's peers will be blocked. Eventually the peer will timeout and excluded from the list (typically after 2 minutes). The goroutines involved in the deadlock will not be garbage collected, but they will not interfere with the system after the peer is excluded. T...

When gRPC HTTP2 stack raised a header size exceeded error, it skipped parsing the rest of the HPACK frame. This caused any HPACK table mutations to also be skipped, resulting in a desynchronization of HPACK tables between sender and receiver. If leveraged, say, between a proxy and a backend, this could lead to requests from the proxy being interpreted as containing headers from different proxy clients - leading to an information leak that can be used for privilege escalation or data exfiltration. We recommend upgrading beyond the commit contained in  https://github.com/grpc/grpc/pull/32309

A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in `Py_FindObjects()` function.

Open Redirect in GitHub repository go-gitea/gitea prior to 1.19.4. This is most likely a post-auth redirect plus it is a POST based request scenario, so less likely that can be exploited or chained with other bugs that can cause phishing or credential theft.

Use of TikaEncodingDetector in Apache Any23 can cause excessive memory usage.

Bouncy Castle provides the X509LDAPCertStoreSpi.java class which can be used in conjunction with the CertPath API for validating certificate paths. Pre-1.73 the implementation did not check the X.500 name of any certificate, subject, or issuer being passed in for LDAP wild cards, meaning the presence of a wild car may lead to Information Disclosure. A potential attack would be to generate a self-signed certificate with a subject name that contains special characters, e.g: CN=Subject*)(objectclass=. This will be included into the filter and provides the attacker ability to specify additional attributes in the search query. This can be exploited as a blind LDAP injection: an attacker can enumerate valid attribute values using the boolean blind injection technique. The exploitation depends on the structure of the target LDAP directory, as well as what kind of errors are exposed to the user. Changes to the X509LDAPCertStoreSpi.java class add the additional checking of any X.500 name used...

## Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-g8x5-p9qc-cf95. This link is maintained to preserve external references. ## Original Description All versions of @fastify/oauth2 used a statically generated state parameter at startup time and were used across all requests for all users. The purpose of the Oauth2 state parameter is to prevent Cross-Site-Request-Forgery attacks. As such, it should be unique per user and should be connected to the user's session in some way that will allow the server to validate it. v7.2.0 changes the default behavior to store the state in a cookie with the http-only and same-site=lax attributes set. The state is now by default generated for every user. Note that this contains a breaking change in the checkStateFunction function, which now accepts the full Request object.

Users may be able to launch containers that bypass the mountable secrets policy enforced by the ServiceAccount admission plugin when using ephemeral containers. The policy ensures pods running with a service account may only reference secrets specified in the service account’s secrets field. Kubernetes clusters are only affected if the ServiceAccount admission plugin and the `kubernetes.io/enforce-mountable-secrets` annotation are used together with ephemeral containers.

Users may be able to launch containers using images that are restricted by ImagePolicyWebhook when using ephemeral containers. Kubernetes clusters are only affected if the ImagePolicyWebhook admission plugin is used together with ephemeral containers.