Summary
Frappe Framework contains a blind SQL injection vulnerability in the
frappe.desk.doctype.event.event.get_events method, where user-controlled
input is included in SQL queries without adequate neutralization. An
authenticated attacker may infer database query results from application
behavior and potentially extract sensitive information.
Frappe Framework contains a blind SQL injection vulnerability in the
frappe.desk.doctype.event.event.get_events method, where user-controlled
input is included in SQL queries without adequate neutralization. An
authenticated attacker may infer database query results from application
behavior and potentially extract sensitive information.
Affected context
The vulnerability occurs in Frappe Framework deployments where authenticated
users can reach the Event doctype's get_events method and provide values
that influence database queries. It becomes risky when those values are
incorporated into SQL statements without parameterization or equivalent
query-safety controls, allowing differences in application responses or
behavior to reveal database information.
The vulnerability occurs in Frappe Framework deployments where authenticated
users can reach the Event doctype's get_events method and provide values
that influence database queries. It becomes risky when those values are
incorporated into SQL statements without parameterization or equivalent
query-safety controls, allowing differences in application responses or
behavior to reveal database information.
Exploit preconditions
- Attack surface: The Frappe Event API or method exposing
get_events - Required access: Valid authenticated application access with permission
to invoke the affected functionality
- Trigger point: Processing attacker-influenced input during event
retrieval
- Why exploitation is possible: User-supplied values are incorporated
into SQL queries without sufficient neutralization, enabling inference from
query results or observable application behavior
- Attack surface: The Frappe Event API or method exposing
get_events - Required access: Valid authenticated application access with permission
to invoke the affected functionality
- Trigger point: Processing attacker-influenced input during event
retrieval
- Why exploitation is possible: User-supplied values are incorporated
into SQL queries without sufficient neutralization, enabling inference from
query results or observable application behavior
Why this happens
The underlying bug is an injection flaw caused by constructing or extending
SQL statements with insufficiently trusted input. When application data is
treated as part of query syntax rather than strictly as parameter values,
an attacker may influence database operations and infer information through
response differences. This behavior maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection').
The underlying bug is an injection flaw caused by constructing or extending
SQL statements with insufficiently trusted input. When application data is
treated as part of query syntax rather than strictly as parameter values,
an attacker may influence database operations and infer information through
response differences. This behavior maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection').
Potential impact
- An attacker may infer the presence or absence of database records.
- Sensitive database values could be disclosed over repeated requests.
- Confidential application, user, or business data could be exposed.
- Database availability or integrity could be affected if broader query
influence is possible.
- An attacker may infer the presence or absence of database records.
- Sensitive database values could be disclosed over repeated requests.
- Confidential application, user, or business data could be exposed.
- Database availability or integrity could be affected if broader query
influence is possible.
General mitigation guidance
Mitigation generally focuses on ensuring that user-controlled values never
become SQL syntax. Common defensive patterns include:
- Use parameterized queries, prepared statements, or a well-maintained query
builder for database access.
- Apply allowlisted validation for filters, sort fields, and other structured
query inputs.
- Keep database accounts restricted to the minimum operations required by the
application.
- Avoid relying on escaping alone as the primary SQL injection defense.
- Enforce authorization independently from query construction and limit
exposure of sensitive records.
- Centralize database access controls so unsafe query patterns are less likely
to be introduced in individual handlers.
Mitigation generally focuses on ensuring that user-controlled values never
become SQL syntax. Common defensive patterns include:
- Use parameterized queries, prepared statements, or a well-maintained query
builder for database access.
- Apply allowlisted validation for filters, sort fields, and other structured
query inputs.
- Keep database accounts restricted to the minimum operations required by the
application.
- Avoid relying on escaping alone as the primary SQL injection defense.
- Enforce authorization independently from query construction and limit
exposure of sensitive records.
- Centralize database access controls so unsafe query patterns are less likely
to be introduced in individual handlers.
How teams detect issues like this
Detection can combine static analysis, review, and runtime controls:
- Search for string concatenation, interpolation, or formatting used to build
SQL statements from request parameters.
- Review API handlers and data-access methods for missing query parameters,
weak filter validation, and dynamic identifiers.
- Use application security testing to compare responses for controlled,
non-destructive input variations and identify unexpected query behavior.
- Monitor database and application logs for anomalous query errors, repeated
conditional requests, or unusual access to sensitive fields.
- Enforce secure query-construction policies through CI checks and automated
code-review tools.
Detection can combine static analysis, review, and runtime controls:
- Search for string concatenation, interpolation, or formatting used to build
SQL statements from request parameters.
- Review API handlers and data-access methods for missing query parameters,
weak filter validation, and dynamic identifiers.
- Use application security testing to compare responses for controlled,
non-destructive input variations and identify unexpected query behavior.
- Monitor database and application logs for anomalous query errors, repeated
conditional requests, or unusual access to sensitive fields.
- Enforce secure query-construction policies through CI checks and automated
code-review tools.
