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Search Results (7 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-32939 | 1 Dataease | 1 Dataease | 2026-03-25 | 8.1 High |
| DataEase is an open source data visualization analysis tool. Versions 2.10.19 and below have inconsistent Locale handling between the JDBC URL validation logic and the H2 JDBC engine's internal parsing. DataEase uses String.toUpperCase() without specifying an explicit Locale, causing its security checks to rely on the JVM's default runtime locale, while H2 JDBC always normalizes URLs using Locale.ENGLISH. In Turkish locale environments (tr_TR), Java converts the lowercase letter i to İ (dotted capital I) instead of the standard I, so a malicious parameter like iNIT becomes İNIT in DataEase's filter (bypassing its blacklist) while H2 still correctly interprets it as INIT. This discrepancy allows attackers to smuggle dangerous JDBC parameters past DataEase's security validation, and the issue has been confirmed as exploitable in real DataEase deployment scenarios running under affected regional settings. The issue has been fixed in version 2.10.20. | ||||
| CVE-2026-32949 | 2 Dataease, Fit2cloud | 2 Sqlbot, Sqlbot | 2026-03-25 | 7.5 High |
| SQLBot is an intelligent data query system based on a large language model and RAG. Versions prior to 1.7.0 contain a Server-Side Request Forgery (SSRF) vulnerability that allows an attacker to retrieve arbitrary system and application files from the server. An attacker can exploit the /api/v1/datasource/check endpoint by configuring a forged MySQL data source with a malicious parameter extraJdbc="local_infile=1". When the SQLBot backend attempts to verify the connectivity of this data source, an attacker-controlled Rogue MySQL server issues a malicious LOAD DATA LOCAL INFILE command during the MySQL handshake. This forces the target server to read arbitrary files from its local filesystem (such as /etc/passwd or configuration files) and transmit the contents back to the attacker. This issue was fixed in version 1.7.0. | ||||
| CVE-2026-32950 | 2 Dataease, Fit2cloud | 2 Sqlbot, Sqlbot | 2026-03-25 | 8.8 High |
| SQLBot is an intelligent data query system based on a large language model and RAG. Versions prior to 1.7.0 contain a critical SQL Injection vulnerability in the /api/v1/datasource/uploadExcel endpoint that enables Remote Code Execution (RCE), allowing any authenticated user (even the lowest-privileged) to fully compromise the backend server. The root cause is twofold: Excel Sheet names are concatenated directly into PostgreSQL table names without sanitization (datasource.py#L351), and those table names are embedded into COPY SQL statements via f-strings instead of parameterized queries (datasource.py#L385-L388). An attacker can bypass the 31-character Sheet name limit using a two-stage technique—first uploading a normal file whose data rows contain shell commands, then uploading an XML-tampered file whose Sheet name injects a TO PROGRAM 'sh' clause into the SQL. Confirmed impacts include arbitrary command execution as the postgres user (uid=999), sensitive file exfiltration (e.g., /etc/passwd, /etc/shadow), and complete PostgreSQL database takeover. This issue has been fixed in version 1.7.0. | ||||
| CVE-2026-32622 | 2 Dataease, Fit2cloud | 2 Sqlbot, Sqlbot | 2026-03-25 | 8.8 High |
| SQLBot is an intelligent data query system based on a large language model and RAG. Versions 1.5.0 and below contain a Stored Prompt Injection vulnerability that chains three flaws: a missing permission check on the Excel upload API allowing any authenticated user to upload malicious terminology, unsanitized storage of terminology descriptions containing dangerous payloads, and a lack of semantic fencing when injecting terminology into the LLM's system prompt. Together, these flaws allow an attacker to hijack the LLM's reasoning to generate malicious PostgreSQL commands (e.g., COPY ... TO PROGRAM), ultimately achieving Remote Code Execution on the database or application server with postgres user privileges. The issue is fixed in v1.6.0. | ||||
| CVE-2025-62420 | 1 Dataease | 1 Dataease | 2025-10-24 | 8.8 High |
| DataEase is a data visualization and analytics platform. In DataEase versions through 2.10.13, a JDBC driver bypass vulnerability exists in the H2 database connection handler. The getJdbc function in H2.java checks if the jdbcUrl starts with jdbc:h2 but returns a separate jdbc field as the actual connection URL. An attacker can provide a jdbcUrl that starts with jdbc:h2 while supplying a different jdbc field with an arbitrary JDBC driver and connection string. This allows an authenticated attacker to trigger arbitrary JDBC connections with malicious drivers, potentially leading to remote code execution. The vulnerability is fixed in version 2.10.14. No known workarounds exist. | ||||
| CVE-2025-62422 | 1 Dataease | 1 Dataease | 2025-10-24 | 8.8 High |
| DataEase is an open source data visualization and analytics platform. In versions 2.10.13 and earlier, the /de2api/datasetData/tableField interface is vulnerable to SQL injection. An attacker can construct a malicious tableName parameter to execute arbitrary SQL commands. This issue is fixed in version 2.10.14. No known workarounds exist. | ||||
| CVE-2025-62421 | 1 Dataease | 1 Dataease | 2025-10-24 | 5.4 Medium |
| DataEase is a data visualization and analytics platform. In DataEase versions through 2.10.13, a stored cross-site scripting vulnerability exists due to improper file upload validation and authentication bypass. The StaticResourceApi interface defines a route upload/{fileId} that uses a URL path parameter where both the filename and extension of uploaded files are controllable by users. During permission validation, the TokenFilter invokes the WhitelistUtils#match method to determine if the URL path is in the allowlist. If the requestURI ends with .js or similar extensions, it is directly deemed safe and bypasses permission checks. This allows an attacker to access "upload/1.js" while specifying arbitrary file extensions, enabling the upload of HTML files containing malicious JavaScript. The vulnerability is fixed in version 2.10.14. No known workarounds exist. | ||||
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