An issue in MongoDB Server's query subsystem could allow an authenticated user with read privileges to cause the server process to terminate unexpectedly by submitting a specially formed query filter. This could result in a denial of service.
An issue in MongoDB Server's query subsystem could allow an authenticated user with read privileges to cause the server process to terminate unexpectedly by submitting a specially formed query filter. This could result in a denial of service.
An issue in MongoDB Server's geospatial validation could allow an authenticated user with write privileges to cause an internal reference to be used after the underlying memory has been freed, through concurrent operations against a collection using a certain type of validator. This could result in a server crash, leading to a denial of service.
An issue in MongoDB Server's query planner could allow an authenticated user with read-level privileges to cause the server process to terminate unexpectedly by submitting a specially formed query against a collection with a text index. This could result in a denial of service, affecting connected clients and in-flight operations.
An issue in MongoDB Server could allow an authenticated user with a limited database-scoped role to perform an action against protected system collections that should require more specific privileges. This could result in exposure of collection metadata and, on certain deployment configurations, unauthorized modification of system collection data.
An issue in MongoDB Server's aggregation framework could allow an unauthenticated party to cause a mongos (router) process to terminate unexpectedly by submitting a specially formed aggregation command. This could result in a denial of service, disrupting client connections routed through the affected mongos instance.
An issue in MongoDB Server's applyOps command could allow an authenticated user with specific non-default privileges to perform certain data-definition operations, such as dropping or modifying collections, against collections they do not have permission to manipulate. This is due to an inconsistency in how the target collection is determined between the authorization check and the actual operation.
An issue in MongoDB Server's handling of certain query predicates against time-series collections with a metaField could allow an authenticated user with write access to cause the server process to terminate unexpectedly, resulting in a denial of service.
An issue in MongoDB Server's geospatial query processing could allow an authenticated user with write privileges to cause certain malformed geometry data to be stored and later processed without proper validation. Subsequent queries against this data could then result in the server accessing memory outside its intended bounds. This could result in a server crash (denial of service) and may expose a limited amount of server process memory.
An issue in MongoDB Server's handling of timeseries collections could allow an authenticated user with write privileges to cause an internal data structure to become inconsistent through certain document insertions. A subsequent insert into the affected bucket could then result in the server accessing memory outside its intended bounds, potentially causing a server crash (denial of service), exposure of limited memory contents, or memory corruption.
An issue in MongoDB Server's handling of timeseries bucket lifecycle could allow an authenticated user with write privileges to cause an internal reference to be used after the underlying memory has been freed. Subsequent operations could then result in a server crash or, potentially, execution of unintended code.
An issue in MongoDB Server's intra-cluster connection setup could allow a party with suitable network access to influence which authentication mechanism is used when one replica set member connects to another. Under certain conditions, this could cause the cluster's shared internal credential to be transmitted in a less-protected form, potentially allowing that credential to be recovered. If recovered, the credential could be used to authenticate as the internal superuser to nodes in the deploym
An issue in MongoDB Server could allow an authenticated user with a limited database-scoped role to perform an action against protected system collections that their assigned privileges should not permit. This could result in critical system collections being dropped and recreated without proper authorization.
An issue in MongoDB Server's aggregation framework could allow an authenticated user to trigger an out-of-bounds memory read by providing a specially formed numeric parameter in a certain aggregation pipeline stage. This could result in a server crash (denial of service) and may potentially expose a limited amount of memory contents.
MongoDB Server's handling of a Queryable Encryption maintenance operation did not properly validate certain request parameters against the collection's encrypted field configuration before use. An authenticated user with readWrite privileges could submit a specially formed request that leads to a server crash or excessive internal writes, resulting in resource exhaustion and corruption of encrypted index data.
A flaw was found in odh-dashboard, the web console component of Red Hat OpenShift AI (RHOAI). Due to incorrect network binding, a malicious actor within the cluster can bypass authentication and impersonate any user by providing an arbitrary access token. This allows an attacker to gain unauthorized access to the Kubernetes API, potentially leading to arbitrary code execution, privilege escalation, or information disclosure.
A flaw was found in `guardrails-detectors`, a component of Red Hat OpenShift AI. This vulnerability, known as Regular Expression Denial of Service (ReDoS), allows a remote attacker to provide specially crafted regular expressions to the public detection API. This can cause catastrophic backtracking, leading to a worker process consuming 100% CPU indefinitely and resulting in a denial of service for the entire guardrails-mediated LLM pipeline.
In Eclipse OpenJ9 versions up to 0.60, using -Xtrace to trace method arguments can lead to buffer underflow.
Anyone sharing their screen on a Zoom call could have taken over the computers of everyone watching, and anyone watching could have taken over the presenter's. The flaw sat in the annotation tool, the feature that lets participants draw and type on a shared screen, and it asked nothing of the victim beyond being in the meeting. No click, no download, no prompt, and nothing on screen to show it
In the Linux kernel, the following vulnerability has been resolved: net: qualcomm: rmnet: fix endpoint use-after-free in rmnet_dellink() rmnet_dellink() removes the endpoint from the hash table with hlist_del_init_rcu() and then immediately frees it with kfree(). However, RCU readers on the receive path (rmnet_rx_handler -> __rmnet_map_ingress_handler) may still hold a reference to the endpoint and dereference ep->egress_dev after the memory has been freed. The endpoint is a kmalloc-32 object,
In Eclipse OMR versions up to 0.11, the arraycmp SIMD implementation for Z and P does not check if the number of bytes to compare is zero.