DataEase is an open source data visualization and analysis tool. Prior to 2.10.26, authenticated users can store a crafted custom dateFormat for a dataset field. DatasetTableFieldDTO.dateFormat is inserted without validation into date conversion templates used by Dimension2SQLObj, CustomWhere2Str, Field2SQLObj, WhereTree2Str, and ExtWhere2Str. When a chart renders the field on a cross-datasource dataset, Calcite parsing is bypassed and the crafted format can directly alter the generated SQL. On a single-datasource dataset, exploitation additionally requires the payload to survive Calcite reserialization as a valid string literal. Successful exploitation can compromise the confidentiality, integrity, and availability of the backend database. This issue is fixed in version 2.10.26.
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.
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.