#apache

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stream that selects pickle-fallback serializer during deserialization, leading to the execution of `pickle.loads`, which is vulnerable to remote code execution. Users are recommended to upgrade to pyfory version 0.12.3 or later, which has removed pickle fallback serializer and thus fixes this issue.

Cybersecurity never stops—and neither do hackers. While you wrapped up last week, new attacks were already underway. From hidden software bugs to massive DDoS attacks and new ransomware tricks, this week’s roundup gives you the biggest security moves to know. Whether you’re protecting key systems or locking down cloud apps, these are the updates you need before making your next security

Apache Airflow 3 introduced a change to the handling of sensitive information in Connections. The intent was to restrict access to sensitive connection fields to Connection Editing Users, effectively applying a "write-only" model for sensitive values. In Airflow 3.0.3, this model was unintentionally violated: sensitive connection information could be viewed by users with READ permissions through both the API and the UI. This behavior also bypassed the `AIRFLOW__CORE__HIDE_SENSITIVE_VAR_CONN_FIELDS` configuration option. This issue does not affect Airflow 2.x, where exposing sensitive information to connection editors was the intended and documented behavior. Users of Airflow 3.0.3 are advised to upgrade Airflow to >=3.0.4.

## Summary `Rack::QueryParser` in version `< 2.2.18` enforces its `params_limit` only for parameters separated by `&`, while still splitting on both `&` and `;`. As a result, attackers could use `;` separators to bypass the parameter count limit and submit more parameters than intended. ## Details The issue arises because `Rack::QueryParser#check_query_string` counts only `&` characters when determining the number of parameters, but the default separator regex `DEFAULT_SEP = /[&;] */n` splits on both `&` and `;`. This mismatch means that queries using `;` separators were not included in the parameter count, allowing `params_limit` to be bypassed. Other safeguards (`bytesize_limit` and `key_space_limit`) still applied, but did not prevent this particular bypass. ## Impact Applications or middleware that directly invoke `Rack::QueryParser` with its default configuration (no explicit delimiter) could be exposed to increased CPU and memory consumption. This can be abused as a limited...

Companies in the legal services, software-as-a-service (SaaS) providers, Business Process Outsourcers (BPOs), and technology sectors in the U.S. have been targeted by a suspected China-nexus cyber espionage group to deliver a known backdoor referred to as BRICKSTORM. The activity, attributed to UNC5221 and closely related, suspected China-nexus threat clusters, is designed to facilitate

Improper permission check in ZooKeeper AdminServer lets authorized clients to run snapshot and restore command with insufficient permissions. This issue affects Apache ZooKeeper: from 3.9.0 before 3.9.4. Users are recommended to upgrade to version 3.9.4, which fixes the issue. The issue can be mitigated by disabling both commands (via admin.snapshot.enabled and admin.restore.enabled), disabling the whole AdminServer interface (via admin.enableServer), or ensuring that the root ACL does not provide open permissions. (Note that ZooKeeper ACLs are not recursive, so this does not impact operations on child nodes besides notifications from recursive watches.)

Deserialization of Untrusted Data vulnerability in Apache IoTDB. This issue affects Apache IoTDB: from 1.0.0 before 2.0.5. Users are recommended to upgrade to version 2.0.5, which fixes the issue.

A vulnerability in Apache IoTDB. This issue affects Apache IoTDB: from 1.3.3 through 1.3.4, from 2.0.1-beta through 2.0.4. Users are recommended to upgrade to version 2.0.5, which fixes the issue.

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Thursday released details of two sets of malware that were discovered in an unnamed organization's network following the exploitation of security flaws in Ivanti Endpoint Manager Mobile (EPMM). "Each set contains loaders for malicious listeners that enable cyber threat actors to run arbitrary code on the compromised server,"

View CSAF 1. EXECUTIVE SUMMARY CVSS v4 8.7 ATTENTION: Exploitable remotely/low attack complexity Vendor: Hitachi Energy Equipment: Asset Suite Vulnerabilities: Server-Side Request Forgery (SSRF), Deserialization of Untrusted Data, Cleartext Storage of Sensitive Information, Uncontrolled Resource Consumption, URL Redirection to Untrusted Site ('Open Redirect'), Improper Authentication 2. RISK EVALUATION Successful exploitation of this vulnerability could allow attackers to trigger resource consumption or information disclosure through SSRF in Apache XML Graphics Batik, mount a Denial-Of-Service attack via poisoned data in logback, discover cleartext passwords in H2 Database Engine, fill up the file system in Apache CXF, perform open redirect or SSRF attacks through UriComponentsBuilder, and execute arbitrary code in Apache ActiveMQ. 3. TECHNICAL DETAILS 3.1 AFFECTED PRODUCTS Hitachi Energy reports that the following products are affected: Asset Suite: Versions 9.6.4.5 and prior 3.2 VULN...