DataEase is an open source data visualization analysis tool. Prior to 2.10.4, there is a flaw in the authentication in the io.dataease.auth.filter.TokenFilter class, which can be bypassed and cause the risk of unauthorized access. In the io.dataease.auth.filter.TokenFilter class, ”request.getRequestURI“ is used to obtain the request URL, and it is passed to the WhitelistUtils.match method to determine whether the URL request is an interface that does not require authentication. The match method filters semicolons, but this is not enough. When users set server.servlet.context-path when deploying products, there is still a risk of being bypassed, which can be bypassed by any whitelist prefix /geo/../context-path/. The vulnerability has been fixed in v2.10.4.
Weakness
The product performs authentication based on the name of a resource being accessed, or the name of the actor performing the access, but it does not properly check all possible names for that resource or actor.
Affected Software
| Name |
Vendor |
Start Version |
End Version |
| Dataease |
Dataease |
* |
2.10.4 (excluding) |
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.
References