CVE-2025-10619

A vulnerability was detected in sequa-ai sequa-mcp up to 1.0.13. This affects the function redirectToAuthorization of the file src/helpers/node-oauth-client-provider.ts of the component OAuth Server Discovery. Performing manipulation results in os command injection. Remote exploitation of the attack is possible. The exploit is now public and may be used. Upgrading to version 1.0.14 is able to mitigate this issue. The patch is named e569815854166db5f71c2e722408f8957fb9e804. It is recommended to upgrade the affected component. The vendor explains: We only promote that mcp server with our own URLs that have a valid response, but yes if someone would use it with a non sequa url, this is a valid attack vector. We have released a new version (1.0.14) that fixes this and validates that only URLs can be opened.

Weakness

The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component.

Extended Description

Many protocols and products have their own custom command language. While OS or shell command strings are frequently discovered and targeted, developers may not realize that these other command languages might also be vulnerable to attacks.

Potential Mitigations

• Assume all input is malicious. Use an “accept known good” input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
• When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, “boat” may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as “red” or “blue.”
• Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code’s environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.

Related Attack Patterns

• https://cwe.mitre.org/data/definitions/136.html
• https://cwe.mitre.org/data/definitions/15.html
• https://cwe.mitre.org/data/definitions/183.html
• https://cwe.mitre.org/data/definitions/248.html
• https://cwe.mitre.org/data/definitions/40.html
• https://cwe.mitre.org/data/definitions/43.html
• https://cwe.mitre.org/data/definitions/75.html
• https://cwe.mitre.org/data/definitions/76.html

References

• https://github.com/sequa-ai/sequa-mcp/commit/e569815854166db5f71c2e722408f8957fb9e804
• https://lavender-bicycle-a5a.notion.site/Sequa-MCP-RCE-26853a41781f807da1c0cd158f9e3e1a?source=copy_link
• https://vuldb.com/?ctiid.324646
• https://vuldb.com/?id.324646
• https://vuldb.com/?submit.650189