CVE-2026-63080
Aptabase through commit 5a89368 contains a SQL injection vulnerability in the ClickHouse query backend that allows authenticated attackers t
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Publicado: 21 jul 2026 · Última mod.: 21 jul 2026 · CWE-89
Sin historial EPSS suficiente todavía.
Aptabase through commit 5a89368 contains a SQL injection vulnerability in the ClickHouse query backend that allows authenticated attackers to read event data across all tenants by injecting unsanitized filter parameters into Liquid SQL templates. Attackers can supply malicious values through EventName, CountryCode, OsName, DeviceModel, AppVersion, or SessionId parameters to inject a UNION ALL statement that bypasses the app_id tenant isolation filter across thirteen of the fifteen stats API endpoints.
CVECVSSEPSSKEVRExplotTítuloVis.
CVE-2026-164847.3 ALT—
——0A flaw has been found in SourceCodester Class and Exam Timetabling System 1.0. Affected by this vulnerability is an unknown functionality of the file /edit_subjecta.php. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used.4hCVE-2026-648807.1 ALT—
——0Unsanitized user-supplied input in report filtering parameters is concatenated directly into SQL queries without proper escaping or parameterized queries, enabling blind SQL injection and unauthorized database read access.5hCVE-2026-550848.8 ALT—
——0DHIS2 is a flexible information system for data capture, management, validation, analytics and visualization. A SQL injection vulnerability was identified in the SqlView API endpoint of the DHIS2 application in the `filter` parameter used by the
`/api/sqlViews/{viewId}/data.json` endpoint. An authenticated user with access to a SqlView can inject arbitrary SQL queries inside the `filter` parameter by abusing an expression executed by PostgreSQL and its output is reflected inside the application error message. This behavior enables attackers to extract arbitrary database content using error-based SQL injection.
Affected versions include: 2.37, 2.38, 2.39, 2.40.x before 2.40.11.1/2.40.12, 2.41.x before 2.41.8.2, 2.42.x before 2.42.5.1, 2.43.0 before 2.43.0.1, 2.44 development branch before PR #24162
Patched versions include: 2.37-EOS (2026-06-09), 2.38-EOS (2026-06-09), 2.39-EOS (2026-06-09), 2.40.11.1, 2.40.12, 2.41.8.2, 2.42.5.1, 2.43.0.1, 2.44 development branch after PR #241626hCVE-2026-55082——
——0DHIS2 is a flexible information system for data capture, management, validation, analytics and visualization. DHIS2 SQL View data endpoints allowed authenticated users with SQL View access to provide crafted filter values that were interpolated into generated SQL. An authenticated user with access to SQL View execution could manipulate SQL generated for SQL View filters and potentially access data outside the intended SQL View result set.
This is distinct from CVE-2026-55084, which tracks the related SQL View filter column-name injection.
Known affected release lines for this advisory: DHIS2 2.37, 2.38, and 2.39 before the 2026-06-09 EOS security updates.
Patched by the 2026-06-09 EOS security updates for 2.37, 2.38, and 2.39. The same value-slot hardening was already present on later supported branches through DHIS2-20174 / PR #22253.7hCVE-2016-200969.8 CRÍ—
——0Linknat VOS3000 and VOS2009 through version 2.1.2.0 contain an unauthenticated SQL injection vulnerability that allows remote attackers to execute arbitrary SQL commands by manipulating the name parameter in a POST request to the login endpoint. Attackers can inject malicious SQL through the login form and retrieve injected query results from a subsequent session request, enabling extraction of plaintext credentials and other database content with DBA-level privileges.7hCVE-2026-15829——
——0A SQL injection (CWE-89) and security boundary bypass (CWE-863) vulnerability exists in the prebuilt BigQuery forecasting tool (bigquery-forecast) of googleapis/mcp-toolbox.
The tool accepts client-controlled parameters (data_col, timestamp_col, and id_cols) as plain strings and interpolates them unescaped via fmt.Sprintf directly into a generated AI.FORECAST table-valued SELECT statement. While MCP Toolbox utilizes an allowedDatasets mechanism to restrict queries, this defense only validates the history_data parameter; the final assembled query is executed without re-validation.
An attacker can break out of the string literal fields (such as timestamp_col) to inject a valid multi-statement or cross-dataset query block. This allows an unauthorized user to bypass the operator-configured allowedDatasets boundary and read arbitrary BigQuery tables.8h