Allura Discussion and Allura Forum importing does not restrict URL values specified in attachments. Project administrators can run these imports, which could cause Allura to read local files and expose them.  Exposing internal files then can lead to other exploits, like session hijacking, or remote code execution. This issue affects Apache Allura from 1.0.1 through 1.15.0. Users are recommended to upgrade to version 1.16.0, which fixes the issue.  If you are unable to upgrade, set "disable_entry_points.allura.importers = forge-tracker, forge-discussion" in your .ini config file.

In Apache Teaclave Rust SGX SDK 1.1.3, a side-channel vulnerability in base64 PEM file decoding allows system-level (administrator) attackers to obtain information about secret RSA keys via a controlled-channel and side-channel attack on software running in isolated environments that can be single stepped, especially Intel SGX.

Exposure of Sensitive Information Through Data Queries vulnerability in Apache Syncope. An administrator with adequate entitlements for Derived Schemas can create a malicious JEXL expression which allows any administrator with sufficient entitlements for User read to access User-related security-sensitive information. This issue affects Apache Syncope: 3.0 through 3.0.16, 4.0 through 4.0.5, 4.1.0. Users are recommended to upgrade to version 4.0.6 / 4.1.1, which fix this issue by further restricting the JEXL expression definition.

Airflow versions before 2.10.3 have a vulnerability that allows authenticated users with audit log access to see sensitive values in audit logs which they should not see. When sensitive variables were set via airflow CLI, values of those variables appeared in the audit log and were stored unencrypted in the Airflow database. While this risk is limited to users with audit log access, it is recommended to upgrade to Airflow 2.10.3 or a later version, which addresses this issue. Users who previously used the CLI to set secret variables should manually delete entries with those variables from the log table.

An authenticated user with specific data permissions could access database connections stored passwords by requesting a specific REST API. This issue affects Apache Superset version 1.3.0 up to 2.0.1.

In the Streampark platform, when users log in to the system and use certain features, some pages provide a name-based fuzzy search, such as job names, role names, etc. The sql syntax :select * from table where jobName like '%jobName%'. However, the jobName field may receive illegal parameters, leading to SQL injection. This could potentially result in information leakage. Mitigation: Users are recommended to upgrade to version 2.1.2, which fixes the issue.

Improper Restriction of XML External Entity Reference vulnerability in Apache Syncope Console. An administrator with adequate entitlements to create or edit Keymaster parameters via Console can construct malicious XML text to launch an XXE attack, thereby causing sensitive data leakage occurs. This issue affects Apache Syncope: from 3.0 through 3.0.15, from 4.0 through 4.0.3. Users are recommended to upgrade to version 3.0.16 / 4.0.4, which fix this issue.

Improper parsing of nested SQL statements on SQLLab would allow authenticated users to surpass their data authorization scope. This issue affects Apache Superset: before 3.0.4, from 3.1.0 before 3.1.1. Users are recommended to upgrade to version 3.1.1, which fixes the issue.

A malicious actor who has been authenticated and granted specific permissions in Apache Superset may use the import dataset feature in order to conduct Server-Side Request Forgery attacks and query internal resources on behalf of the server where Superset is deployed. This vulnerability exists in Apache Superset versions up to and including 2.0.1.

Before Airflow 3.2.0, it was unclear that secure Airflow deployments require the Deployment Manager to take appropriate actions and pay attention to security details and security model of Airflow. Some assumptions the Deployment Manager could make were not clear or explicit enough, even though Airflow's intentions and security model of Airflow did not suggest different assumptions. The overall security model [1], workload isolation [2], and JWT authentication details [3] are now described in more detail. Users concerned with role isolation and following the Airflow security model of Airflow are advised to upgrade to Airflow 3.2, where several security improvements have been implemented. They should also read and follow the relevant documents to make sure that their deployment is secure enough. It also clarifies that the Deployment Manager is ultimately responsible for securing your Airflow deployment. This had also been communicated via Airflow 3.2.0 Blog announcement [4]. [1] Security Model: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html [2] Workload isolation: https://airflow.apache.org/docs/apache-airflow/stable/security/workload.html [3] JWT Token authentication: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html [4] Airflow 3.2.0 Blog announcement: https://airflow.apache.org/blog/airflow-3.2.0/ Users are recommended to upgrade to version 3.2.0, which fixes this issue.

Since version 5.2.0, when using deferrable mode with the path of a Kubernetes configuration file for authentication, the Airflow worker serializes this configuration file as a dictionary and sends it to the triggerer by storing it in metadata without any encryption. Additionally, if used with an Airflow version between 2.3.0 and 2.6.0, the configuration dictionary will be logged as plain text in the triggerer service without masking. This allows anyone with access to the metadata or triggerer log to obtain the configuration file and use it to access the Kubernetes cluster. This behavior was changed in version 7.0.0, which stopped serializing the file contents and started providing the file path instead to read the contents into the trigger. Users are recommended to upgrade to version 7.0.0, which fixes this issue.

In Apache Linkis <=1.4.0, The password is printed to the log when using the Oracle data source of the Linkis data source module.  We recommend users upgrade the version of Linkis to version 1.5.0

Insertion of Sensitive Information into Log File vulnerability in Apache Airflow Celery provider, Apache Airflow. Sensitive information logged as clear text when rediss, amqp, rpc protocols are used as Celery result backend Note: the vulnerability is about the information exposed in the logs not about accessing the logs. This issue affects Apache Airflow Celery provider: from 3.3.0 through 3.4.0; Apache Airflow: from 1.10.0 through 2.6.3. Users are recommended to upgrade Airflow Celery provider to version 3.4.1 and Apache Airlfow to version 2.7.0 which fixes the issue.

Sensitive data exposure via logging in basic-auth leads to plaintext usernames and passwords written to error logs and forwarded to log sinks when log level is INFO/DEBUG. This creates a high risk of credential compromise through log access. It has been fixed in the following commit:  https://github.com/apache/apisix/pull/12629 Users are recommended to upgrade to version 3.14, which fixes this issue.

The log files in Apache web server contain information directly supplied by clients and does not filter or quote control characters, which could allow remote attackers to hide HTTP requests and spoof source IP addresses when logs are viewed with UNIX programs such as cat, tail, and grep.

All versions of Apache Santuario - XML Security for Java prior to 2.2.6, 2.3.4, and 3.0.3, when using the JSR 105 API, are vulnerable to an issue where a private key may be disclosed in log files when generating an XML Signature and logging with debug level is enabled. Users are recommended to upgrade to version 2.2.6, 2.3.4, or 3.0.3, which fixes this issue.

Apache Geode versions up to 1.12.4 and 1.13.4 are vulnerable to a log file redaction of sensitive information flaw when using values that begin with characters other than letters or numbers for passwords and security properties with the prefix "sysprop-", "javax.net.ssl", or "security-". This issue is fixed by overhauling the log file redaction in Apache Geode versions 1.12.5, 1.13.5, and 1.14.0.

A vulnerability. When org.apache.linkis.metadata.util.HiveUtils.decode() fails to perform Base64 decoding, it records the complete input parameter string in the log via logger.error(str + "decode failed", e). If the input parameter contains sensitive information such as Hive Metastore keys, plaintext passwords will be left in the log files when decoding fails, resulting in information leakage. Affected Scope Component: Sensitive fields in hive-site.xml (e.g., javax.jdo.option.ConnectionPassword) or other fields encoded in Base64. Version: Apache Linkis 1.0.0 – 1.7.0 Trigger Conditions The value of the configuration item is an invalid Base64 string. Log files are readable by users other than hive-site.xml administrators. Severity: Low The probability of Base64 decoding failure is low. The leakage is only triggered when logs at the Error level are exposed. Remediation Apache Linkis 1.8.0 and later versions have replaced the log with desensitized content. logger.error("URL decode failed: {}", e.getMessage()); // 不再输出 str Users are recommended to upgrade to version 1.8.0, which fixes the issue.

Impala sessions use a 16 byte secret to verify that the session is not being hijacked by another user. However, these secrets appear in the Impala logs, therefore Impala users with access to the logs can use another authenticated user's sessions with specially constructed requests. This means the attacker is able to execute statements for which they don't have the necessary privileges otherwise. Impala deployments with Apache Sentry or Apache Ranger authorization enabled may be vulnerable to privilege escalation if an authenticated attacker is able to hijack a session or query from another authenticated user with privileges not assigned to the attacker. Impala deployments with audit logging enabled may be vulnerable to incorrect audit logging as a user could undertake actions that were logged under the name of a different authenticated user. Constructing an attack requires a high degree of technical sophistication and access to the Impala system as an authenticated user. Mitigation: If an Impala deployment uses Apache Sentry, Apache Ranger or audit logging, then users should upgrade to a version of Impala with the fix for IMPALA-10600. The Impala 4.0 release includes this fix. This hides session secrets from the logs to eliminate the risk of any attack using this mechanism. In lieu of an upgrade, restricting access to logs that expose secrets will reduce the risk of an attack. Restricting access to the Impala deployment to trusted users will also reduce the risk of an attack. Log redaction techniques can be used to redact secrets from the logs.

In Apache NiFi 1.10.0 to 1.11.4, the NiFi stateless execution engine produced log output which included sensitive property values. When a flow was triggered, the flow definition configuration JSON was printed, potentially containing sensitive values in plaintext.

Insertion of Sensitive Information into Log File vulnerability in the cloud membership for clustering component of Apache Tomcat exposed the Kubernetes bearer token. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.20, from 10.1.0-M1 through 10.1.53, from 9.0.13 through 9.0.116. Users are recommended to upgrade to version 11.0.21, 10.1.54 or 9.0.117, which fix the issue.

Sensitive Information Leak in cqlsh in Apache Cassandra 4.0 allows access to sensitive information, like passwords, from previously executed cqlsh command via  ~/.cassandra/cqlsh_history local file access. Users are recommended to upgrade to version 4.0.20, which fixes this issue. -- Description: Cassandra's command-line tool, cqlsh, provides a command history feature that allows users to recall previously executed commands using the up/down arrow keys. These history records are saved in the ~/.cassandra/cqlsh_history file in the user's home directory. However, cqlsh does not redact sensitive information when saving command history. This means that if a user executes operations involving passwords (such as logging in or creating users) within cqlsh, these passwords are permanently stored in cleartext in the history file on the disk.

Improper handling of configuration values in ZKConfig in Apache ZooKeeper 3.8.5 and 3.9.4 on all platforms allows an attacker to expose sensitive information stored in client configuration in the client's logfile. Configuration values are exposed at INFO level logging rendering potential production systems affected by the issue. Users are recommended to upgrade to version 3.8.6 or 3.9.5 which fixes this issue.

In Apache Impala 2.7.0 to 3.2.0, an authenticated user with access to the IDs of active Impala queries or sessions can interact with those sessions or queries via a specially-constructed request and thereby potentially bypass authorization and audit mechanisms. Session and query IDs are unique and random, but have not been documented or consistently treated as sensitive secrets. Therefore they may be exposed in logs or interfaces. They were also not generated with a cryptographically secure random number generator, so are vulnerable to random number generator attacks that predict future IDs based on past IDs. Impala deployments with Apache Sentry or Apache Ranger authorization enabled may be vulnerable to privilege escalation if an authenticated attacker is able to hijack a session or query from another authenticated user with privileges not assigned to the attacker. Impala deployments with audit logging enabled may be vulnerable to incorrect audit logging as a user could undertake actions that were logged under the name of a different authenticated user. Constructing an attack requires a high degree of technical sophistication and access to the Impala system as an authenticated user.

The Apache Storm Logviewer daemon exposes HTTP-accessible endpoints to read/search log files on hosts running Storm. In Apache Storm versions 0.9.1-incubating to 1.2.2, it is possible to read files off the host's file system that were not intended to be accessible via these endpoints.

Airflow versions before 2.11.1 have a vulnerability that allows authenticated users with audit log access to see sensitive values in audit logs which they should not see. When sensitive connection parameters were set via airflow CLI, values of those variables appeared in the audit log and were stored unencrypted in the Airflow database. While this risk is limited to users with audit log access, it is recommended to upgrade to Airflow 2.11.1 or a later version, which addresses this issue. Users who previously used the CLI to set connections should manually delete entries with those connection sensitive values from the log table. This is similar but not the same issue as CVE-2024-50378

Insertion of Sensitive Information into Log File vulnerability in Apache ActiveMQ Artemis. All the values of the broker properties are logged when the org.apache.activemq.artemis.core.config.impl.ConfigurationImpl logger has the debug level enabled. This issue affects Apache ActiveMQ Artemis: from 1.5.1 before 2.40.0. It can be mitigated by restricting log access to only trusted users. Users are recommended to upgrade to version 2.40.0, which fixes the issue.

Exposure of Sensitive Information to an Unauthorized Actor, Insertion of Sensitive Information into Log File vulnerability in Apache IoTDB JDBC driver. This issue affects iotdb-jdbc: from 0.10.0 through 1.3.3, from 2.0.1-beta before 2.0.2. Users are recommended to upgrade to version 2.0.2 and 1.3.4, which fix the issue.

Exposure of Sensitive Information to an Unauthorized Actor, Insertion of Sensitive Information into Log File vulnerability in the OpenIdAuthorizer of Apache IoTDB. This issue affects Apache IoTDB: from 0.10.0 through 1.3.3, from 2.0.1-beta before 2.0.2. Users are recommended to upgrade to version 1.3.4 and 2.0.2, which fix the issue.

In Apache NiFi 0.0.1 to 1.11.0, the flow fingerprint factory generated flow fingerprints which included sensitive property descriptor values. In the event a node attempted to join a cluster and the cluster flow was not inheritable, the flow fingerprint of both the cluster and local flow was printed, potentially containing sensitive values in plaintext.

The OpenSearch logging provider, when configured with a `host` URL that embeds credentials (for example `https://user:password@server.example.com:9200`), wrote the full host URL — including the embedded credentials — into task logs. Any user with task-log read permission could harvest the backend credentials. Users are advised to upgrade to `apache-airflow-providers-opensearch` 1.9.1 or later and, as a defense-in-depth measure, configure the backend credentials via a secret backend rather than embedding them in the `[opensearch] host` URL.

The Elasticsearch logging provider, when configured with a `host` URL that embeds credentials (for example `https://user:password@server.example.com:9200`), wrote the full host URL — including the embedded credentials — into task logs. Any user with task-log read permission could harvest the backend credentials. Users are advised to upgrade to `apache-airflow-providers-elasticsearch` 6.5.3 or later and, as a defense-in-depth measure, configure the backend credentials via a secret backend rather than embedding them in the `[elasticsearch] host` URL.

JWT Tokens used by tasks were exposed in logs. This could allow UI users to act as Dag Authors. Users are advised to upgrade to Airflow version that contains fix. Users are recommended to upgrade to version 3.2.0, which fixes this issue.

Exposure of temporary credentials in logs in Apache Arrow Rust Object Store (`object_store` crate), version 0.10.1 and earlier on all platforms using AWS WebIdentityTokens.  On certain error conditions, the logs may contain the OIDC token passed to AssumeRoleWithWebIdentity https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRoleWithWebIdentity.html . This allows someone with access to the logs to impersonate that identity, including performing their own calls to AssumeRoleWithWebIdentity, until the OIDC token expires. Typically OIDC tokens are valid for up to an hour, although this will vary depending on the issuer. Users are recommended to use a different AWS authentication mechanism, disable logging or upgrade to version 0.10.2, which fixes this issue. Details: When using AWS WebIdentityTokens with the object_store crate, in the event of a failure and automatic retry, the underlying reqwest error, including the full URL with the credentials, potentially in the parameters, is written to the logs.  Thanks to Paul Hatcherian for reporting this vulnerability

Apache Pulsar contains multiple connectors for integrating with Apache Kafka. The Pulsar IO Apache Kafka Source Connector, Sink Connector, and Kafka Connect Adaptor Sink Connector log sensitive configuration properties in plain text in application logs. This vulnerability can lead to unintended exposure of credentials in log files, potentially allowing attackers with access to these logs to obtain Apache Kafka credentials. The vulnerability's impact is limited by the fact that an attacker would need access to the application logs to exploit this issue. This issue affects Apache Pulsar IO's Apache Kafka connectors in all versions before 3.0.11, 3.3.6, and 4.0.4. 3.0.x version users should upgrade to at least 3.0.11. 3.3.x version users should upgrade to at least 3.3.6. 4.0.x version users should upgrade to at least 4.0.4. Users operating versions prior to those listed above should upgrade to the aforementioned patched versions or newer versions.

Insertion of Sensitive Information into Log File vulnerability in the Apache Solr Operator. This issue affects all versions of the Apache Solr Operator from 0.3.0 through 0.8.0. When asked to bootstrap Solr security, the operator will enable basic authentication and create several accounts for accessing Solr: including the "solr" and "admin" accounts for use by end-users, and a "k8s-oper" account which the operator uses for its own requests to Solr. One common source of these operator requests is healthchecks: liveness, readiness, and startup probes are all used to determine Solr's health and ability to receive traffic. By default, the operator configures the Solr APIs used for these probes to be exempt from authentication, but users may specifically request that authentication be required on probe endpoints as well. Whenever one of these probes would fail, if authentication was in use, the Solr Operator would create a Kubernetes "event" containing the username and password of the "k8s-oper" account. Within the affected version range, this vulnerability affects any solrcloud resource which (1) bootstrapped security through use of the `.solrOptions.security.authenticationType=basic` option, and (2) required authentication be used on probes by setting `.solrOptions.security.probesRequireAuth=true`. Users are recommended to upgrade to Solr Operator version 0.8.1, which fixes this issue by ensuring that probes no longer print the credentials used for Solr requests.  Users may also mitigate the vulnerability by disabling authentication on their healthcheck probes using the setting `.solrOptions.security.probesRequireAuth=false`.

Product: Apache Cordova Android 5.2.2 and earlier. The application calls methods of the Log class. Messages passed to these methods (Log.v(), Log.d(), Log.i(), Log.w(), and Log.e()) are stored in a series of circular buffers on the device. By default, a maximum of four 16 KB rotated logs are kept in addition to the current log. The logged data can be read using Logcat on the device. When using platforms prior to Android 4.1 (Jelly Bean), the log data is not sandboxed per application; any application installed on the device has the capability to read data logged by other applications.

In Apache Airflow versions before 3.1.6, and 2.11.1 the proxies and proxy fields within a Connection may include proxy URLs containing embedded authentication information. These fields were not treated as sensitive by default and therefore were not automatically masked in log output. As a result, when such connections are rendered or printed to logs, proxy credentials embedded in these fields could be exposed. Users are recommended to upgrade to 3.1.6 or later for Airflow 3, and 2.11.1 or later for Airflow 2 which fixes this issue

An information disclosure vulnerability was found in Apache NiFi 1.10.0. The sensitive parameter parser would log parsed values for debugging purposes. This would expose literal values entered in a sensitive property when no parameter was present.

The Logback component in Terminalfour before 8.3.14.1 allows OS administrators to obtain sensitive information from application server logs when debug logging is enabled. The fixed versions are 8.2.18.7, 8.2.18.2.2, 8.3.11.1, and 8.3.14.1.

OpenBao is an open source identity-based secrets management system. Prior to version 2.4.2, OpenBao's audit log did not appropriately redact fields when relevant subsystems sent []byte response parameters rather than strings. This includes, but is not limited to sys/raw with use of encoding=base64, all data would be emitted unredacted to the audit log, and Transit, when performing a signing operation with a derived Ed25519 key, would emit public keys to the audit log. This issue has been patched in OpenBao 2.4.2.

A vulnerability has been identified within the Rancher Backup Operator, resulting in the leakage of S3 tokens (both accessKey and secretKey) into the rancher-backup-operator pod's logs.

In Splunk Add-on Builder versions below 4.1.4, the app writes sensitive information to internal log files.

An issue has been discovered in GitLab EE affecting all versions starting from 14.3 before 16.0.8, all versions starting from 16.1 before 16.1.3, all versions starting from 16.2 before 16.2.2. Access tokens may have been logged when a query was made to a specific endpoint.

In Ericsson Network Manager (ENM) releases before 21.2, users belonging to the same AMOS authorization group can retrieve the data from certain log files. All AMOS users are considered to be highly privileged users in ENM system and all must be previously defined and authorized by the Security Administrator. Those users can access some log’s files, under a common path, and read information stored in the log’s files in order to conduct privilege escalation.

A vulnerability in Cisco Enterprise NFV Infrastructure Software (NFVIS) could allow an authenticated, remote attacker to read arbitrary files on the underlying operating system (OS) of an affected device. The vulnerability is due to the improper input validation of tar packages uploaded through the Web Portal to the Image Repository. An attacker could exploit this vulnerability by uploading a crafted tar package and viewing the log entries that are generated. A successful exploit could allow the attacker to read arbitrary files on the underlying OS.

On versions 15.0.0-15.0.1.1, 14.1.0-14.1.2, 14.0.0-14.0.1, 13.1.0-13.1.3.1, 12.1.0-12.1.5, and 11.5.2-11.6.5.1, the BIG-IP APM system logs the client-session-id when a per-session policy is attached to the virtual server with debug logging enabled.

A flaw was discovered in bolt-server and ace where running a task with sensitive parameters results in those sensitive parameters being logged when they should not be. This issue only affects SSH/WinRM nodes (inventory service nodes).

On all versions of Guided Configuration before 8.0.0, when a configuration that contains secure properties is created and deployed from Access Guided Configuration (AGC), secure properties are logged in restnoded logs. Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.

In Search Guard FLX versions from 1.0.0 up to 4.0.1, the audit logging feature might log user credentials from users logging into Kibana.