Missing authorization in the WhatsApp group channel in Kiro Crew might allow a remote actor who is a member of an operator-configured WhatsApp group to control the operator's other agent sessions and execute arbitrary commands on the host running Kiro Crew via messages sent to the group.
To remediate this issue, users should upgrade to version 0.7.2.
A remote user who can read encrypted objects in the S3 bucket can force a padding downgrade by altering the padding scheme recorded in an object's metadata to legacy PKCS#1 v1.5. Since this padding scheme is susceptible to the well-known Bleichenbacher attack, the user can use a PKCS#1 v1.5 padding oracle to recover the RSA-wrapped envelope key and decrypt the object.
To remediate this issue, we recommend that users upgrade to version 3.2.2 or 4.0.3. The 1.x and 2.x lines will not be patched, users of those lines need to migrate to 3.2.2 or 4.0.3.
The file write tool in Amazon Kiro IDE versions before 1.0.242 might allow remote unauthenticated actors to inject crafted instructions into the agent's context. When a user runs the agent in a crafted repository as an untrusted workspace, sending any message can cause agent modifications to auto-loaded global configuration paths.
We recommend you upgrade to Kiro IDE version 1.0.242 or later. Users who ran the agent in an untrusted workspace on an earlier version should also review the global Kiro configuration directory (~/.kiro) for entries they did not create.
Improper neutralization of special elements used in a template engine in the CDK generator in Amazon awslabs.dynamodb-mcp-server before 2.1.6 might allow a context-dependent actor to execute arbitrary code on the host that deploys the generated application via crafted table, index, or attribute names in a data model file.
An uncontrolled recursion issue exists in Amazon Ion-C versions before 1.1.6 that might allow a remote unauthenticated actor to craft Ion data that exhausts the native call stack and crashes the application using the library, resulting in a denial of service.
Improper neutralization of input used for LLM prompting in the python_repl tool in Amazon Strands Agents Tools before 0.8.5 might allow remote actors to execute arbitrary Python code on the agent's host by bypassing the human consent gate, via a crafted prompt that forwards non_interactive_mode as a keyword argument through the batch tool. To remediate this issue, users should upgrade to version 0.8.5 or later.
CVE-2026-75936 is a high-severity vulnerability in Amazon Ion Java before version 1.12.0. It involves improper handling of highly compressed data in the GZIP auto-decompression handler, which can lead to a denial of service when processing crafted compressed Ion documents that expand to very large sizes upon decompression. The issue can be mitigated by upgrading to version 1.12.0 and configuring the parser to disable GZIP decompression or limit buffer size when handling untrusted input.
Uncontrolled memory allocation in the binary Ion stream cursor in Amazon ion-java before 1.12.0 might allow remote actors to cause a denial of service via a crafted Ion binary document containing a declared-length field that causes excessive heap preallocation.
To remediate this issue, users should upgrade to version 1.12.0.
An uncontrolled search path element in Kiro CLI before version 2.10.0 on Windows might allow a remote unauthenticated actor to execute arbitrary code via a maliciously crafted project directory containing an executable that bypasses workspace trust protections when a local user starts Kiro CLI in the directory.
To remediate this issue, users should upgrade to version 2.10.0 or higher.
The QUIC transport parameters extension handler in s2n-tls incorrectly uses s2n_alloc instead of s2n_realloc to store the peer's transport parameters. When a TLS 1.3 connection goes through a HelloRetryRequest, the handler is called twice on the same connection. On the second call, s2n_alloc zeroes the existing pointer before allocating new memory, causing the first allocation to be leaked.
This can occur during normal QUIC traffic when a client offers a key share group the server does not prefer. An unauthenticated user can amplify the issue by deliberately forcing HelloRetryRequests, causing up to approximately 64 KB of unreachable memory per handshake. Over time, this can lead to increased memory consumption on long-running server processes. The unreachable memory is only reclaimed when the process is restarted.
Only server-side QUIC-enabled deployments are affected. Non-QUIC TLS connections are not affected.
We recommend you upgrade s2n-tls to version v1.7.6
Strands Agents is an open-source Python SDK for building and running AI agents. The strands-agents-tools package provides pre-built tools for use with the SDK, including the elasticsearch_memory tool for agent memory storage. We identified CVE-2026-15746, a server-side request forgery (SSRF) issue in the elasticsearch_memory tool. The tool exposed its connection parameters (es_url, cloud_id, api_key) as fields the large language model (LLM) could control through the tool schema. When a caller omitted the api_key parameter, the tool fell back to the operator's ELASTICSEARCH_API_KEY environment variable and sent it to whichever host the LLM specified. A crafted prompt could cause the tool to connect to a threat-actor-controlled server and disclose the operator's Elasticsearch API key in the Authorization header.
We recommend you upgrade to strands-agents-tools version 0.7.0 or later. As a precautionary measure, we recommend all operators rotate their ELASTICSEARCH_API_KEY, even if there is no indication the credential was exposed.
Missing symlink validation in Language Servers for AWS may allow an arbitrary file write outside of the workspace trust boundary. This may occur when a local user opens a workspace with a maliciously crafted symlink that resolves to a file path outside the workspace trust boundary.
To remediate this issue, users should upgrade to version 1.69.0 or higher.
Amazon Redshift JDBC Driver versions prior to 2.2.2 contain a vulnerability where externally controlled input in JDBC connection URL parameters can lead to arbitrary class loading and code execution. This occurs if an attacker can influence the connection URL and a suitable class is present on the application's classpath. The vulnerability is addressed by upgrading to version 2.2.2 or later.
CVE-2026-7791 is a high-severity local privilege escalation vulnerability in Amazon WorkSpaces for Windows versions before 2.6.2034.0. It arises from a time-of-check time-of-use (TOCTOU) race condition in the log rotation mechanism of the Skylight Workspace Config Service. A local non-admin authenticated user can exploit this flaw to place arbitrary files in arbitrary locations, bypassing file system permissions and escalating privileges to SYSTEM.
CVE-2026-6437 is a vulnerability in the AWS EFS CSI Driver before version 3.0.1 where improper neutralization of argument delimiters allows remote authenticated users with PersistentVolume creation permissions to inject arbitrary mount options via comma injection. This can lead to high confidentiality and integrity impact but does not affect availability. The issue is fixed in version 3.0.1.
Improper neutralization of special elements in the authentication components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to execute arbitrary code or redirect authentication flows by using specially crafted connection parameters that are processed by the driver during user-initiated authentication.
To remediate this issue, users should upgrade to version 2.1.0.0.
Out-of-bounds write in the query processing components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to crash the driver by using specially crafted data that is processed by the driver during query operations.
To remediate this issue, users should upgrade to version 2.1.0.0.
CVE-2026-5485 is an OS command injection vulnerability in the browser-based authentication component of the Amazon Athena ODBC driver on Linux. It affects versions before 2.0.5.1 and allows a local user to execute arbitrary code by supplying specially crafted connection parameters. The vulnerability has a high severity with a CVSS score of 7.8. Users should upgrade to version 2.0.5.1 or later to remediate the issue.
Allocation of resources without limits in the parsing components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to cause a denial of service by delivering crafted input that triggers excessive resource consumption during the driver's parsing operations.
To remediate this issue, users should upgrade to version 2.1.0.0.
Insufficient authentication security controls in the browser-based authentication components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to intercept or hijack authentication sessions due to insufficient protections in the browser-based authentication flows.
To remediate this issue, users should upgrade to version 2.1.0.0.