Full List

Search

Recent Vulnerabilities

• CVE-2026-54722 • published on July 30, 2026 DSSRF is a Node.js library that provides a wide range of utilities and advanced SSRF defense checks. Prior to 1.0.4, is_url_safe in src/helpers.ts strips the @ userinfo delimiter with remove_at_symbol_in_string before new URL parses the URL, allowing an attacker-controlled URL to bypass internal-IP validation and cause a client using the original URL to reach an internal service. This issue is fixed in version 1.0.4.
• CVE-2026-54722 • published on July 30, 2026 DSSRF is a Node.js library that provides a wide range of utilities and advanced SSRF defense checks. Prior to 1.0.4, is_url_safe in src/helpers.ts strips the @ userinfo delimiter with remove_at_symbol_in_string before new URL parses the URL, allowing an attacker-controlled URL to bypass internal-IP validation and cause a client using the original URL to reach an internal service. This issue is fixed in version 1.0.4.
• CVE-2026-54722 • published on July 30, 2026 DSSRF is a Node.js library that provides a wide range of utilities and advanced SSRF defense checks. Prior to 1.0.4, is_url_safe in src/helpers.ts strips the @ userinfo delimiter with remove_at_symbol_in_string before new URL parses the URL, allowing an attacker-controlled URL to bypass internal-IP validation and cause a client using the original URL to reach an internal service. This issue is fixed in version 1.0.4.
• CVE-2026-62663 • published on July 30, 2026 Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.4, all four media filters (image, audio, video, document) in banks accept untrusted user input as file paths via Path(value) and pass them directly to open(file_path, "rb") without any path sanitization, canonicalization, or directory restriction. An attacker who controls template variables passed to a banks Prompt can use path traversal (../) to read arbitrary files accessible to the Python process—including .env files, SSH keys, cloud credentials, source code, /etc/passwd, and /etc/shadow—with the content returned base64-encoded in the rendered prompt output, making exfiltration trivial. This is particularly dangerous for applications that use banks to process user-provided template variables before sending prompts to an LLM. This issue has been fixed in version 2.4.4.
• CVE-2026-62663 • published on July 30, 2026 Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.4, all four media filters (image, audio, video, document) in banks accept untrusted user input as file paths via Path(value) and pass them directly to open(file_path, "rb") without any path sanitization, canonicalization, or directory restriction. An attacker who controls template variables passed to a banks Prompt can use path traversal (../) to read arbitrary files accessible to the Python process—including .env files, SSH keys, cloud credentials, source code, /etc/passwd, and /etc/shadow—with the content returned base64-encoded in the rendered prompt output, making exfiltration trivial. This is particularly dangerous for applications that use banks to process user-provided template variables before sending prompts to an LLM. This issue has been fixed in version 2.4.4.
• CVE-2026-62663 • published on July 30, 2026 Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.4, all four media filters (image, audio, video, document) in banks accept untrusted user input as file paths via Path(value) and pass them directly to open(file_path, "rb") without any path sanitization, canonicalization, or directory restriction. An attacker who controls template variables passed to a banks Prompt can use path traversal (../) to read arbitrary files accessible to the Python process—including .env files, SSH keys, cloud credentials, source code, /etc/passwd, and /etc/shadow—with the content returned base64-encoded in the rendered prompt output, making exfiltration trivial. This is particularly dangerous for applications that use banks to process user-provided template variables before sending prompts to an LLM. This issue has been fixed in version 2.4.4.
• CVE-2026-62663 • published on July 30, 2026 Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.4, all four media filters (image, audio, video, document) in banks accept untrusted user input as file paths via Path(value) and pass them directly to open(file_path, "rb") without any path sanitization, canonicalization, or directory restriction. An attacker who controls template variables passed to a banks Prompt can use path traversal (../) to read arbitrary files accessible to the Python process—including .env files, SSH keys, cloud credentials, source code, /etc/passwd, and /etc/shadow—with the content returned base64-encoded in the rendered prompt output, making exfiltration trivial. This is particularly dangerous for applications that use banks to process user-provided template variables before sending prompts to an LLM. This issue has been fixed in version 2.4.4.
• CVE-2026-9322 • published on July 30, 2026 IBM WebSphere Application Server 9.0, and 8.5 and IBM WebSphere Application Server - Liberty 17.0.0.3 through 26.0.0.7 are vulnerable to a denial of service via a crafted HTTP request.
• CVE-2026-9322 • published on July 30, 2026 IBM WebSphere Application Server 9.0, and 8.5 and IBM WebSphere Application Server - Liberty 17.0.0.3 through 26.0.0.7 are vulnerable to a denial of service via a crafted HTTP request.
• CVE-2026-9322 • published on July 30, 2026 IBM WebSphere Application Server 9.0, and 8.5 and IBM WebSphere Application Server - Liberty 17.0.0.3 through 26.0.0.7 are vulnerable to a denial of service via a crafted HTTP request.
• CVE-2026-9322 • published on July 30, 2026 IBM WebSphere Application Server 9.0, and 8.5 and IBM WebSphere Application Server - Liberty 17.0.0.3 through 26.0.0.7 are vulnerable to a denial of service via a crafted HTTP request.
• CVE-2026-23985 • published on July 30, 2026 A Regular Expression Denial of Service (ReDoS) vulnerability exists in Apache Superset versions 1.5.0 through 5.0.0. The vulnerability is located in the sql_parse.py component, specifically within the SQL_REGEX used for parsing SQL statements in the sqlparse library integration. The affected regular expression contains overlapping disjunctions that share a common outer quantifier. An authenticated attacker can exploit this by sending a maliciously crafted input string (specifically a long sequence of backslashes or similar characters) to endpoints that process SQL queries This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.  Workarounds: ● WAF Rules: Implement Web Application Firewall (WAF) rules to detect and block requests containing excessively long sequences of backslashes or suspicious repeated patterns in the queries.extras.where parameter. ● Rate Limiting: Ensure strict rate limiting is applied to the /api/v1/chart/data endpoint to reduce the impact of potential attacks.
• CVE-2026-23985 • published on July 30, 2026 A Regular Expression Denial of Service (ReDoS) vulnerability exists in Apache Superset versions 1.5.0 through 5.0.0. The vulnerability is located in the sql_parse.py component, specifically within the SQL_REGEX used for parsing SQL statements in the sqlparse library integration. The affected regular expression contains overlapping disjunctions that share a common outer quantifier. An authenticated attacker can exploit this by sending a maliciously crafted input string (specifically a long sequence of backslashes or similar characters) to endpoints that process SQL queries This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.  Workarounds: ● WAF Rules: Implement Web Application Firewall (WAF) rules to detect and block requests containing excessively long sequences of backslashes or suspicious repeated patterns in the queries.extras.where parameter. ● Rate Limiting: Ensure strict rate limiting is applied to the /api/v1/chart/data endpoint to reduce the impact of potential attacks.
• CVE-2026-23985 • published on July 30, 2026 A Regular Expression Denial of Service (ReDoS) vulnerability exists in Apache Superset versions 1.5.0 through 5.0.0. The vulnerability is located in the sql_parse.py component, specifically within the SQL_REGEX used for parsing SQL statements in the sqlparse library integration. The affected regular expression contains overlapping disjunctions that share a common outer quantifier. An authenticated attacker can exploit this by sending a maliciously crafted input string (specifically a long sequence of backslashes or similar characters) to endpoints that process SQL queries This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.  Workarounds: ● WAF Rules: Implement Web Application Firewall (WAF) rules to detect and block requests containing excessively long sequences of backslashes or suspicious repeated patterns in the queries.extras.where parameter. ● Rate Limiting: Ensure strict rate limiting is applied to the /api/v1/chart/data endpoint to reduce the impact of potential attacks.
• CVE-2026-23985 • published on July 30, 2026 A Regular Expression Denial of Service (ReDoS) vulnerability exists in Apache Superset versions 1.5.0 through 5.0.0. The vulnerability is located in the sql_parse.py component, specifically within the SQL_REGEX used for parsing SQL statements in the sqlparse library integration. The affected regular expression contains overlapping disjunctions that share a common outer quantifier. An authenticated attacker can exploit this by sending a maliciously crafted input string (specifically a long sequence of backslashes or similar characters) to endpoints that process SQL queries This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.  Workarounds: ● WAF Rules: Implement Web Application Firewall (WAF) rules to detect and block requests containing excessively long sequences of backslashes or suspicious repeated patterns in the queries.extras.where parameter. ● Rate Limiting: Ensure strict rate limiting is applied to the /api/v1/chart/data endpoint to reduce the impact of potential attacks.
• CVE-2026-23981 • published on July 30, 2026 An Improper Authorization vulnerability exists in Apache Superset allowing an authenticated user with permissions to update charts to modify dashboards they do not own. When updating a chart's properties via the REST API, a user can provide a list of dashboard IDs (dashboards) to associate the chart with. The validation logic in the UpdateChartCommand failed to verify that the user had write permissions for the target dashboards specified in the request body. This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.
• CVE-2026-23981 • published on July 30, 2026 An Improper Authorization vulnerability exists in Apache Superset allowing an authenticated user with permissions to update charts to modify dashboards they do not own. When updating a chart's properties via the REST API, a user can provide a list of dashboard IDs (dashboards) to associate the chart with. The validation logic in the UpdateChartCommand failed to verify that the user had write permissions for the target dashboards specified in the request body. This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.
• CVE-2026-23981 • published on July 30, 2026 An Improper Authorization vulnerability exists in Apache Superset allowing an authenticated user with permissions to update charts to modify dashboards they do not own. When updating a chart's properties via the REST API, a user can provide a list of dashboard IDs (dashboards) to associate the chart with. The validation logic in the UpdateChartCommand failed to verify that the user had write permissions for the target dashboards specified in the request body. This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.
• CVE-2026-23981 • published on July 30, 2026 An Improper Authorization vulnerability exists in Apache Superset allowing an authenticated user with permissions to update charts to modify dashboards they do not own. When updating a chart's properties via the REST API, a user can provide a list of dashboard IDs (dashboards) to associate the chart with. The validation logic in the UpdateChartCommand failed to verify that the user had write permissions for the target dashboards specified in the request body. This issue affects Apache Superset: before 6.0.0. Users are recommended to upgrade to version 6.0.0, which fixes the issue.
• CVE-2026-52680 • published on July 30, 2026 Apache Kyuubi REST batch multipart upload handling uses the client-supplied multipart filename when creating a temporary uploaded resource. A remote attacker who can access the REST batch upload endpoint can provide path traversal sequences in the filename and cause the Kyuubi server process to write controlled content outside the intended upload directory, subject to filesystem permissions. This issue affects Apache Kyuubi: from 1.7.0 through 1.11.1. Users are recommended to upgrade to version 1.12.0, which fixes the issue.