#apache

Deployments of Apache Solr 5.3.0 through 9.10.0 that rely on Solr's "Rule Based Authorization Plugin" are vulnerable to allowing unauthorized access to certain Solr APIs, due to insufficiently strict input validation in those components.  Only deployments that meet all of the following criteria are impacted by this vulnerability: * Use of Solr's "RuleBasedAuthorizationPlugin" * A RuleBasedAuthorizationPlugin config (see security.json) that specifies multiple "roles" * A RuleBasedAuthorizationPlugin permission list (see security.json) that uses one or more of the following pre-defined permission rules: "config-read", "config-edit", "schema-read", "metrics-read", or "security-read". * A RuleBasedAuthorizationPlugin permission list that doesn't define the "all" pre-defined permission * A networking setup that allows clients to make unfiltered network requests to Solr. (i.e. user-submitted HTTP/HTTPS requests reach Solr as-is, unmodified or restricted by any intervening pro...

The "create core" API of Apache Solr 8.6 through 9.10.0 lacks sufficient input validation on some API parameters, which can cause Solr to check the existence of and attempt to read file-system paths that should be disallowed by Solr's "allowPaths" security setting https://https://solr.apache.org/guide/solr/latest/configuration-guide/configuring-solr-xml.html#the-solr-element .  These read-only accesses can allow users to create cores using unexpected configsets if any are accessible via the filesystem.  On Windows systems configured to allow UNC paths this can additionally cause disclosure of NTLM "user" hashes.  Solr deployments are subject to this vulnerability if they meet the following criteria: * Solr is running in its "standalone" mode. * Solr's "allowPath" setting is being used to restrict file access to certain directories. * Solr's "create core" API is exposed and accessible to untrusted users.  This can happen if Solr's RuleBasedAuthorizationPlugin https://solr.ap...

# Kimai 2.45.0 - Authenticated Server-Side Template Injection (SSTI) ## Vulnerability Summary | Field | Value | |-------|-------| | **Title** | Authenticated SSTI via Permissive Export Template Sandbox || **Attack Vector** | Network | | **Attack Complexity** | Low | | **Privileges Required** | High (Admin with export permissions and server access) | | **User Interaction** | None | | **Impact** | Confidentiality: HIGH (Credential/Secret Extraction) | | **Affected Versions** | Kimai 2.45.0 (likely earlier versions) | | **Tested On** | Docker: kimai/kimai2:apache-2.45.0 | | **Discovery Date** | 2026-01-05 | --- **Why Scope is "Changed":** The extracted `APP_SECRET` can be used to forge Symfony login links for ANY user account, expanding the attack beyond the initially compromised admin context. --- ## Vulnerability Description Kimai's export functionality uses a Twig sandbox with an overly permissive security policy (`DefaultPolicy`) that allows arbitrary method calls on objects av...

In cybersecurity, the line between a normal update and a serious incident keeps getting thinner. Systems that once felt reliable are now under pressure from constant change. New AI tools, connected devices, and automated systems quietly create more ways in, often faster than security teams can react. This week’s stories show how easily a small mistake or hidden service can turn into a real

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.get...

A vulnerability in Apache Linkis. Problem Description When using the JDBC engine and data source functionality, if the URL parameter configured on the frontend has undergone multiple rounds of URL encoding, it may bypass the system's checks. This bypass can trigger a vulnerability that allows unauthorized access to system files via JDBC parameters. Scope of Impact This issue affects Apache Linkis: from 1.3.0 through 1.7.0. Severity level moderate Solution Continuously check if the connection information contains the "%" character; if it does, perform URL decoding. Users are recommended to upgrade to version 1.8.0, which fixes the issue. More questions about this vulnerability can be discussed here:  https://lists.apache.org/list?dev@linkis.apache.org:2025-9:cve

In Apache Airflow versions before 3.1.6, when rendered template fields in a Dag exceed [core] max_templated_field_length, sensitive values could be exposed in cleartext in the Rendered Templates UI. This occurred because serialization of those fields used a secrets masker instance that did not include user-registered mask_secret() patterns, so secrets were not reliably masked before truncation and display. Users are recommended to upgrade to 3.1.6 or later, which fixes this issue

In Apache Airflow versions before 3.1.6, 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, which fixes this issue

Over 387,000 users downloaded vulnerable Apache Struts versions this week. Exclusive Sonatype research reveals a high-risk flaw found by AI. Is your system at risk?

Cypher Injection vulnerability in Apache Camel camel-neo4j component. This issue affects Apache Camel: from 4.10.0 before 4.10.8, from 4.14.0 before 4.14.3, from 4.15.0 before 4.17.0 Users are recommended to upgrade to version 4.10.8 for 4.10.x LTS and 4.14.3 for 4.14.x LTS and 4.17.0.