A command sanitization bypass exists in the API of HPE Networking Fabric Composer. Successful exploitation could allow an authenticated low privilege operator user to escalate their permissions to those of an administrative user, leading to complete compromise of the affected system.

A vulnerability in the web-based management interface of HPE Networking Fabric Composer could allow an unauthenticated adjacent attacker to conduct a stored cross-site scripting (XSS) attack against a user of the interface. A successful exploit could allow an attacker to execute arbitrary script code in a victim's browser in the context of the affected interface.

A privilege escalation vulnerability exists in the API of HPE Networking Fabric Composer. Successful exploitation could allow an authenticated low privilege operator user to escalate their permissions to those of an administrative user, leading to complete system compromise.

An unauthenticated remote code execution vulnerability exists in the underlying operating system of HPE Networking Fabric Composer and could be exploited if certain preconditions outside of the attacker's control are met. Successful exploitation of this vulnerability could allow an unauthenticated remote attacker to execute arbitrary code as a privileged user on the underlying operating system, leading to complete compromise of the HPE Networking Fabric Composer host.

A vulnerability in the web-based management interface of HPE Networking Fabric Composer could allow an authenticated low privilege operator user to conduct a stored cross-site scripting (XSS) attack against an administrative user of the interface. A successful exploit could allow an attacker to execute arbitrary script code in a victim's browser in the context of the affected interface.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user holding only low, read-level Agent Builder privileges could submit a specially crafted request that causes Kibana to consume an unbounded amount of memory, terminating the process and denying service to all users of the instance.

Execution with Unnecessary Privileges (CWE-250) in the Kibana machine learning feature can lead to information disclosure via Privilege Abuse (CAPEC-122). An operation available to users holding only read access to the machine learning feature was performed with an internal service identity rather than the identity of the requesting user. Such a user could therefore receive data from Elasticsearch indices they are not authorized to read. No Elasticsearch cluster or index privileges are required.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user can submit a specially crafted request that causes excessive resource consumption, which may render Kibana unavailable.

Deserialization of Untrusted Data (CWE-502) in the Elasticsearch machine learning component can lead to remote code execution via Object Injection (CAPEC-586). A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface than intended. Exploitation requires an authenticated user with sufficient privileges to create and deploy trained models.

Uncaught Exception (CWE-248) in Kibana can lead to a denial of service via Input Data Manipulation (CAPEC-153). An authenticated user holding only the low-privileged feature access required to use the Observability AI Assistant can submit a specially crafted request that produces an unhandled error condition, terminating the Kibana process and denying service to all users and spaces on that instance until it is restarted.

Incorrect Authorization (CWE-863) in Kibana can lead to unauthorized modification of data via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user holding only Security Solution read access in a Kibana space could enumerate and change the state of Entity Store maintainer tasks, silently disabling Entity Analytics maintenance for that space.

Incorrect Authorization (CWE-863) in Kibana Entity Analytics can lead to a loss of security monitoring via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user holding only read-level Security feature access, and no Elasticsearch privileges, could stop the recurring Privilege Monitoring engine task for a Kibana space. Privileged user monitoring then stops producing data for that space while the engine continues to report a healthy state to operators.

Improper Handling of Highly Compressed Data (CWE-409) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user holding Streams management privileges could supply specially crafted content that expands to a far larger volume of data during processing, exhausting the memory available to Kibana. The Kibana process is terminated by the host and remains unavailable to all users until the service is restarted.

Improper Neutralization of Special Elements in Data Query Logic (CWE-943) in Kibana can lead to information disclosure via NoSQL Injection (CAPEC-676). An authenticated user with access to the affected query functionality could submit specially crafted input that alters the intended query logic, returning data the user is not authorized to read.

Incorrect Authorization (CWE-863) in Kibana can lead to privilege escalation via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180). A user holding workflow edit permissions could cause scheduled workflow executions to run with the privileges of a different, higher-privileged user, allowing access to and modification of data beyond their own authorization scope.

Allocation of Resources Without Limits or Throttling (CWE-770) in Elasticsearch can lead to a denial of service via Excessive Allocation (CAPEC-130). A user with elevated privileges can submit a specially crafted request that causes excessive memory consumption, which may render the affected node unavailable.

Konga before 2.1.0 contains a privilege escalation vulnerability that allows low-privileged local attackers to execute arbitrary code by planting attacker-controlled OpenSSL configuration or library files in a hardcoded filesystem path absent from default installations. On Windows, the missing directory resides in a location writable by any authenticated local user, enabling attackers to create the directory and place malicious files that execute at the privilege level of the user or service account that launches Konga, facilitating privilege escalation.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user with low-level permissions could submit a specially crafted request that causes excessive resource consumption, which may render Kibana unavailable.

An authentication bypass vulnerability exists in the underlying operating system of HPE Networking Fabric Composer. Successful exploitation could allow an unauthenticated adjacent attacker to execute arbitrary code as a privileged user on the underlying operating system, leading to complete compromise of the AFC host.

Wyoming before 1.10.2 contains a server-side request forgery vulnerability that allows unauthenticated attackers with network access to force outbound connections to arbitrary targets by supplying a malicious `uri` query parameter to the HTTP API. Attackers can pass arbitrary `tcp://` or `unix://` URIs to affected endpoints including /api/info, /api/speech-to-text, and /api/text-to-speech to override the server-configured backend and redirect connections to attacker-chosen hosts.

Filament is a collection of full-stack components for accelerated Laravel development. From 4.0.0 until 4.12.6 and 5.7.6, packages/panels/src/Auth/MultiFactor/App/AppAuthentication.php uses AppAuthentication::verifyCode() with a used-code cache key derived from both the app authentication secret and the submitted TOTP code. This isolates the newest accepted timestep by code instead of by secret, allowing a previously issued app-based MFA code to be accepted after a newer code has already been used. Reuse of the exact same code was already prevented, but another code inside the accepted time window remained usable. An attacker who obtains the target account's password and one app-based MFA code can use that code for the remainder of the configured window, which is approximately four minutes with the default settings, even after the legitimate account holder logs in with a newer code. Email-based MFA is not affected. This issue is fixed in versions 4.12.6 and 5.7.6.

sqlparse is a non-validating SQL parser module for Python. Prior to 0.6.0, sqlparse.format(sql, reindent=True) and sqlformat --reindent route attacker-controlled parenthesized tuple lists through ReindentFilter._get_offset() in sqlparse/filters/reindent.py, where _flatten_up_to_token() repeatedly rebuilds and joins the statement prefix. Thousands of offset calculations walk an expanding token tree, producing quadratic CPU consumption for inputs that remain below MAX_GROUPING_TOKENS and causing request delays, reduced throughput, or worker starvation. This issue is fixed in version 0.6.0.

gRPC-Go is the Go language implementation of gRPC. Prior to 1.83.1, internal/transport/transport.go stores each fragmented HTTP/2 DATA frame as a separate recvMsg in recvBuffer, so millions of one-byte frames can consume disproportionate heap memory even when payload bytes remain within connection and stream flow-control windows. An unauthenticated remote attacker can use concurrent multiplexed streams to exhaust process memory and cause a runtime panic or out-of-memory termination. Receive-buffer compaction is enabled by default and can be controlled temporarily with GRPC_GO_EXPERIMENTAL_ENABLE_RECEIVE_BUFFER_COMPACTION. This issue is fixed in version 1.83.1.

gRPC-Go is the Go language implementation of gRPC. Prior to 1.83.1, the xDS RBAC HTTP filter in internal/xds/httpfilter/rbac/rbac.go does not lowercase header matcher names in normalizeHeaderMatcher even though incoming metadata keys are lowercase. A DENY policy using a mixed-case name such as X-Role or User-Agent therefore does not match and fails open, allowing requests that should be rejected. The same case mismatch permits :Scheme or Grpc-Status to evade gRFC A41 validation and prevents Host from being rewritten to :authority. This issue is fixed in version 1.83.1.

Cleartext storage of sensitive information in the @step and @remote decorator pipeline component in Amazon SageMaker Python SDK before v3.11.0 and v2.256.0 might allow an authenticated remote user to extract the HMAC signing key from SageMaker DescribePipeline API responses and forge valid integrity signatures for specially crafted function payloads, achieving code execution in another user's pipeline execution context within the same AWS account.