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RF4CE protocol dissector crash in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

IEEE 802.11 protocol dissector crash in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

Catapult DCT2000 protocol dissector crash in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

IEEE C37.118 Synchrophasor protocol dissector memory leak in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

Microsoft Network Monitor file parser large loop in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

CSN.1 protocol dissector crash in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

MBIM protocol dissector crash in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

ZigBee ZCL protocol dissector crash in 4.6.0 to 4.6.8 allows denial of service

PEAK CAN TRC file parser crash in 4.6.0 to 4.6.8 allows denial of service

SCTP protocol dissector crash in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

Sharkd utility crash in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

SPDY protocol dissector crash in 4.6.0 to 4.6.8 and 4.4.0 to 4.4.18 allows denial of service

TTL file parser infinite loop in 4.6.0 to 4.6.8 allows denial of service

GitLab has remediated an issue in GitLab CE/EE affecting all versions from 19.0 before 19.2.7, 19.3 before 19.3.3, and 19.4 before 19.4.1 that under certain conditions could have allowed an authenticated user to read private child issue contents, including titles and descriptions, from projects they had no access to, due to missing authorization checks on linked work items within visible epics.

An improper authorization vulnerability in the end-of-life versions of RTU500’s web application allows an authenticated user to trigger the RTU500 to reboot through the reset endpoint. Successful exploitation could cause temporary device unavailability and disruption of its intended operation.

A directory traversal vulnerability in the file upload functionality of Hitachi Energy RTU500 end-of-life versions allows an unauthenticated attacker to write or overwrite arbitrary files on the device file system. Depending on the files affected, successful exploitation could result in unauthorized modification of device data or disruption of the device’s intended operation.

An authentication bypass vulnerability in the firmware update endpoint of Hitachi Energy RTU500 end-of-life versions allows an unauthenticated attacker to upload arbitrary firmware through a crafted POST request. Successful exploitation could allow the attacker to modify device functionality or compromise the integrity or availability of the device.

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.

GitLab has remediated an issue in GitLab CE/EE affecting all versions from 13.11 before 19.2.7, 19.3 before 19.3.3, and 19.4 before 19.4.1 that under certain conditions could have allowed an authenticated user to execute arbitrary JavaScript in the context of another user's browser session due to improper sanitization of path components in the merge request diff viewer.

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.

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 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.

Asset Suite allows unauthenticated users to access HTTPPublishAdapterTestServlet that can be used for configuration file upload, leading to information disclosure and integrity compromise. The HTTPPublishAdapterTestServlet is specifically meant for testing purposes to be used in a non-production environment.

A vulnerability in HPE OneView can be remotely exploited to cause a URL redirect.