Langflow is a tool for building and deploying AI-powered agents and workflows. In versions prior to 1.9.0, the POST /api/v1/build_public_tmp/{flow_id}/flow endpoint allows building public flows without requiring authentication. When the optional data parameter is supplied, the endpoint uses attacker-controlled flow data (containing arbitrary Python code in node definitions) instead of the stored flow data from the database. This code is passed to exec() with zero sandboxing, resulting in unauthenticated remote code execution. This is distinct from CVE-2025-3248, which fixed /api/v1/validate/code by adding authentication. The build_public_tmp endpoint is designed to be unauthenticated (for public flows) but incorrectly accepts attacker-supplied flow data containing arbitrary executable code. This issue has been fixed in version 1.9.0.
AVideo is a video-sharing Platform. Versions prior to 8.0 contain a Server-Side Request Forgery vulnerability (CWE-918) in the public thumbnail endpoints getImage.php and getImageMP4.php. Both endpoints accept a base64Url GET parameter, base64-decode it, and pass the resulting URL to ffmpeg as an input source without any authentication requirement. The prior validation only checked that the URL was syntactically valid (FILTER_VALIDATE_URL) and started with http(s)://. This is insufficient: an attacker can supply URLs such as http://169.254.169.254/latest/meta-data/ (AWS/cloud instance metadata), http://192.168.x.x/, or http://127.0.0.1/ to make the server reach internal network resources. The response is not directly returned (blind), but timing differences and error logs can be used to infer results. The issue has been fixed in version 8.0.
AVideo is a video-sharing Platform. Versions prior to 8.0 contain a SQL Injection vulnerability in the getSqlFromPost() method of Object.php. The $_POST['sort'] array keys are used directly as SQL column identifiers inside an ORDER BY clause. Although real_escape_string() was applied, it only escapes string-context characters (quotes, null bytes) and provides no protection for SQL identifiers — making it entirely ineffective here. This issue has been fixed in version 8.0. To workaround this issue without upgrading, operators can apply a WAF rule to block POST requests where any sort[*] key contains characters outside [A-Za-z0-9_]. Alternatively, restrict access to the queue view (queue.json.php, index.php) to trusted IP ranges only.
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.
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.
ERP is a free and open source Enterprise Resource Planning tool. In versions prior to 16.8.0 and 15.100.0, certain endpoints were vulnerable to time-based and boolean-based blind SQL injection due to insufficient parameter validation, allowing attackers to infer database information. This issue has been fixed in versions 15.100.0 and 16.8.0.
Harden-Runner is a CI/CD security agent that works like an EDR for GitHub Actions runners. In versions 2.15.1 and below, a DNS over HTTPS (DoH) vulnerability allows attackers to bypass egress-policy: block network restrictions by tunneling exfiltrated data through permitted HTTPS endpoints like dns.google. The attack works by encoding sensitive data (e.g., the runner's hostname) as subdomains in DoH queries, which appear as legitimate HTTPS traffic to Harden-Runner's domain-based filtering but are ultimately forwarded to an attacker-controlled domain. This effectively enables data exfiltration without directly connecting to any blocked destination. Exploitation requires the attacker to already have code execution within the GitHub Actions workflow. The issue was fixed in version 2.16.0.
Harden-Runner is a CI/CD security agent that works like an EDR for GitHub Actions runners. In versions 2.15.1 and below, the Harden-Runner that allows bypass of the egress-policy: block network restriction using DNS queries over TCP. Egress policies are enforced on GitHub runners by filtering outbound connections at the network layer. When egress-policy: block is enabled with a restrictive allowed-endpoints list (e.g., only github.com:443), all non-compliant traffic should be denied. However, DNS queries over TCP, commonly used for large responses or fallback from UDP, are not adequately restricted. Tools like dig can explicitly initiate TCP-based DNS queries (+tcp flag) without being blocked. This vulnerability requires the attacker to already have code execution capabilities within the GitHub Actions workflow. The issue has been fixed in version 2.16.0.
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.
SiYuan is a personal knowledge management system. In versions 3.6.0 and below, SanitizeSVG has an incomplete blocklist — it blocks data:text/html and data:image/svg+xml in href attributes but misses data:text/xml and data:application/xml, both of which can render SVG with JavaScript execution. The unauthenticated /api/icon/getDynamicIcon endpoint serves user-controlled input (via the content parameter) directly into SVG markup using fmt.Sprintf with no escaping, served as Content-Type: image/svg+xml. This creates a click-through XSS: a victim navigates to a crafted URL, sees an SVG with an injected link, and clicking it triggers JavaScript via the bypassed MIME types. The attack requires direct navigation to the endpoint or <object>/<embed> embedding, since <img> tag rendering in the frontend doesn't allow interactive links. This issue has been fixed in version 3.6.1.