| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| By design, the JDBCAppender in Log4j 1.2.x accepts an SQL statement as a configuration parameter where the values to be inserted are converters from PatternLayout. The message converter, %m, is likely to always be included. This allows attackers to manipulate the SQL by entering crafted strings into input fields or headers of an application that are logged allowing unintended SQL queries to be executed. Note this issue only affects Log4j 1.x when specifically configured to use the JDBCAppender, which is not the default. Beginning in version 2.0-beta8, the JDBCAppender was re-introduced with proper support for parameterized SQL queries and further customization over the columns written to in logs. Apache Log4j 1.2 reached end of life in August 2015. Users should upgrade to Log4j 2 as it addresses numerous other issues from the previous versions. |
| CVE-2020-9493 identified a deserialization issue that was present in Apache Chainsaw. Prior to Chainsaw V2.0 Chainsaw was a component of Apache Log4j 1.2.x where the same issue exists. |
| Deserialization of untrusted data in Apache Fory PyFory. PyFory's ReduceSerializer could bypass documented DeserializationPolicy validation hooks during reduce-state restoration and global-name resolution. An application is vulnerable if it deserializes attacker-controlled data using PyFory Python-native mode with strict mode disabled and relies on DeserializationPolicy to restrict unsafe classes, functions, or module attributes.
This issue affects Apache Fory: from before 1.0.0.
Mitigation: Users of Apache Fory are recommended to upgrade to version 1.0.0 or later, which enforces DeserializationPolicy validation for the affected ReduceSerializer paths and thus fixes this issue. |
| JWT tokens that were used by workers in Kubernetes Executors have been exposed to users who had read only access to Kuberentes Pods. This could allow users with just read-only access to perform actions that were only available to running tasks via Task SDK and potentially allow to modify state of Airflow Database for tasks. |
| Improper Control of Generation of Code ('Code Injection'), Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection') vulnerability in Apache OFBiz.
This issue affects Apache OFBiz: before 24.09.06.
Users are recommended to upgrade to version 24.09.06, which fixes the issue. |
| Improper Authentication vulnerability in Apache OFBiz via Password-Change Logic Flaw Leading to Remote Code Execution
This issue affects Apache OFBiz: before 24.09.06.
Users are recommended to upgrade to version 24.09.06, which fixes the issue. |
| Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection') vulnerability in Apache OFBiz.
This issue affects Apache OFBiz: before 24.09.06.
Users are recommended to upgrade to version 24.09.06, which fixes the issue. |
| Use of Hard-coded Cryptographic Key vulnerability in Apache OFBiz.
This issue affects Apache OFBiz: before 24.09.06.
Users are recommended to upgrade to version 24.09.06, which fixes the issue. |
| Server-Side Request Forgery (SSRF) vulnerability in Apache OFBiz.
This issue affects Apache OFBiz: before 24.09.06.
Users are recommended to upgrade to version 24.09.06, which fixes the issue. |
| Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache OFBiz.
This issue affects Apache OFBiz: before 24.09.06.
Users are recommended to upgrade to version 24.09.06, which fixes the issue. |
| Server-Side Request Forgery (SSRF) vulnerability in Apache OFBiz via Content component operations.
This issue affects Apache OFBiz: before 24.09.06.
Users are recommended to upgrade to version 24.09.06, which fixes the issue. |
| Code injection in SQL code generation in Apache Flink 1.15.0 through 1.20.x and 2.0.0 through 2.x allows authenticated users with query submission privileges to execute arbitrary code on TaskManagers via maliciously crafted SQL queries. The vulnerability affects JSON functions (1.15.0+) and LIKE expressions with ESCAPE clauses (1.17.0+). User-controlled strings are interpolated into generated Java code without proper escaping, allowing attackers to break out of string literals and inject arbitrary expressions.
Users are recommended to upgrade to either version 1.20.4, 2.0.2, 2.1.2 or 2.2.1, which fixes this issue. |
| DEPRECATED: Authentication Bypass Issues vulnerability in digest authentication in Apache Tomcat.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117, from 8.5.0 through 8.5.100, from before 7.0.0.
Older unsupported versions any also be affect
Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118 which fix the issue. |
| Improper Handling of Case Sensitivity vulnerability in LockOutRealm in Apache Tomcat.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117, from 8.5.0 through 8.5.100, from 7.0.0 through 7.0.109.
Older unsupported versions may also be affected.
Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118 which fix the issue. |
| Improper Authorization vulnerability when multiple method constraints define an HTTP method for the same extension in Apache Tomcat.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117, from 8.5.0 through 8.5.100, from 7.0.0 through 7.0.109.
Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118 which fix the issue. |
| Allocation of Resources Without Limits or Throttling vulnerability in Apache Tomcat.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117.
Older, unsupported versions may also be affected.
Users are recommended to upgrade to version [FIXED_VERSION], which fixes the issue. |
| Exposure of HTTP Authentication Header to unexpected hosts during WebSocket authentication vulnerability in Apache Tomcat.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.2 through 9.0.117, from 8.5.24 through 8.5.100, from 7.0.83 through 7.0.109.
Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118, which fix the issue. |
| The CloudStack Backup plugin has an improper access logic in versions 4.21.0.0 and 4.22.0.0. Anyone with authenticated user-account access in CloudStack 4.21.0.0+ environments, where this plugin is enabled and have access to specific APIs can restore a volume from any other user's backups and attach the volume to their own VMs.
Backup plugin users using CloudStack 4.21.0.0+ are recommended to upgrade to CloudStack version 4.22.0.1, which fixes this issue. |
| In Apache Iceberg, the table's metadata files are control files: they tell readers
which data files belong to the table and which table version to read.
`write.metadata.path` is an optional table property that tells Polaris
where to
write those metadata files.
For a table already registered in a
Polaris-managed
catalog, changing only that property through an `ALTER TABLE`-style settings
change (not a row-level `INSERT`, `SELECT`, `UPDATE`, or `DELETE`) bypasses
the commit-time branch that is supposed to revalidate storage locations.
The full persisted / credential-vending variant requires the affected
catalog
to have `polaris.config.allow.unstructured.table.location=true`, with
`allowedLocations` broad enough to include the attacker-chosen target.
`allowedLocations` is the admin-configured allowlist of storage paths that
the
catalog is allowed to use. Public project materials suggest that this flag
is a
real supported compatibility / layout mode, not just a contrived lab-only
prerequisite.
In that configuration, a user who can change table settings can cause Apache Polaris
itself to write new table metadata to an attacker-chosen reachable storage
location before the intended location-validation branch runs.
If the later concrete-path validation also accepts that location, Polaris
persists the resulting metadata path into stored table state. Later
table-load
and credential APIs can then return temporary cloud-storage credentials for
the
same location without revalidating it. In plain terms, Polaris can later
hand
out temporary storage access for the same attacker-chosen area.
That attacker-chosen area does not need to be limited to the poisoned
table's
own files. If it is a broader storage prefix, another table's prefix, or,
depending on configuration or provider behavior, even a bucket/container
root,
the resulting disclosure or corruption scope can extend to any data and
metadata Polaris can reach there.
The practical consequences are therefore similar to the staged-create
credential-vending issue already discussed: data and metadata reachable in
that
storage scope can be exposed and, if write-capable credentials are later
issued, modified, corrupted, or removed. Even before that later credential
step, Polaris itself performs the metadata write to the unchecked location.
So the core issue is not only later credential vending.
The primary defect
is
that Polaris skips its intended location checks before performing a
security-
sensitive metadata write when only `write.metadata.path` changes.
When `polaris.config.allow.unstructured.table.location=false`, current code
review suggests the later `updateTableLike(...)` validation usually rejects
out-of-tree metadata locations before the unsafe path is persisted. That may
reduce the persisted / credential-vending variant, but it does not prevent
the
underlying defect: Polaris still skips the intended pre-write location check
when only `write.metadata.path` changes. |
| In plain terms, Apache Polaris is supposed to issue short-lived GCS credentials
that
only work for one table's files, but a crafted namespace or table name can
cause those credentials to work across the configured bucket instead.
Apache Polaris builds Google Cloud Storage downscoped credentials by creating a
Credential Access Boundary (CAB) with CEL conditions that are intended to
restrict access to the requested table's storage path.
The relevant CEL string is built from the bucket name and the table path.
That
table path is derived from namespace and table identifiers. In current code,
that path appears to be inserted into the CEL expression without escaping.
As a result, a namespace or table identifier containing a single quote and
other URI-safe CEL fragments can break out of the intended quoted string and
change the meaning of the CEL condition.
In private testing against Polaris 1.4.0 on real Google Cloud Storage, it was confirmed that Polaris accepted a crafted identifier and returned delegated
GCS
credentials whose CEL path restriction had effectively collapsed.
Those delegated credentials could then:
- list another table's object prefix;
- read another table's metadata control file (Iceberg metadata JSON);
- create and delete an object under another table's object prefix;
- and also list, read, create, and delete objects under an unrelated
external
prefix in the same bucket that was not part of any table path.
That last point is important. The issue is not limited to "another table".
In
the confirmed setup, once Apache Polaris returned credentials for the crafted
table,
the path restriction inside the configured bucket was effectively gone.
The practical effect is that temporary credentials for one crafted table
can be
broader than the table Polaris was asked to authorize, and can become
effectively bucket-wide within the configured bucket.
The current GCS testing used a Polaris principal with broad catalog
privileges for setup. A separate least-privilege Polaris RBAC variant
has not yet been tested on GCS. However, the storage-credential
broadening behavior itself has been confirmed on GCS. |
