-
Threat: Excessive Data Exposure via
per_page
Manipulation- Description: An attacker modifies the
per_page
parameter in the URL (e.g.,example.com/products?per_page=1000000
) to request an extremely large number of records per page. They might do this by manually editing the URL, using automated tools, or crafting malicious links.will_paginate
directly processes this parameter. - Impact:
- Exposure of a larger-than-intended dataset.
- Potential revelation of the total number of records in a table.
- Increased database load, potentially leading to performance degradation or even a denial-of-service (DoS) if combined with other factors.
- If combined with other vulnerabilities (e.g., insufficient authorization checks), it could lead to unauthorized data access.
will_paginate
Component Affected:- The
paginate
method (and its underlying implementation) in the model. This method directly processes theper_page
parameter and uses it in the database query. - View helpers that generate pagination links (e.g.,
will_paginate
helper) – these helpers construct the URLs containing theper_page
parameter, making the vulnerability exploitable.
- The
- Risk Severity: High
- Mitigation Strategies:
- Strict
per_page
Validation: Implement server-side validation to enforce a hard maximum allowed value forper_page
. Use a whitelist approach (e.g.,params[:per_page].to_i.clamp(1, 100)
). Do not rely solely on client-side validation or the defaultper_page
setting. This is the most critical mitigation. - Configuration-Based Limit: Define a global maximum
per_page
value in a configuration file (e.g.,config/initializers/will_paginate.rb
) and enforce it consistently across the application. - Database Query Optimization: Ensure that database queries are optimized to handle large result sets efficiently, even if a large (but still within the allowed limit)
per_page
value is requested.
- Strict
- Description: An attacker modifies the
-
Threat: Denial of Service via Large
page
Parameter- Description: An attacker provides an extremely large
page
number in the URL (e.g.,example.com/products?page=999999999
). They might do this manually, through automated tools, or by crafting malicious links.will_paginate
directly uses this parameter to calculate the database offset. - Impact:
- High database load, leading to slow response times or complete unavailability (DoS). This is the primary impact.
- Potential exhaustion of database connections or other resources.
- Degraded performance for all users of the application.
will_paginate
Component Affected:- The
paginate
method in the model. This method directly processes thepage
parameter and calculates the database offset, which is the core of the vulnerability. - View helpers that generate pagination links (e.g.,
will_paginate
helper) – these helpers construct the URLs containing thepage
parameter, making the attack possible.
- The
- Risk Severity: High
- Mitigation Strategies:
page
Parameter Validation: Implement server-side validation to limit thepage
parameter to a reasonable range. While a strict maximum is data-dependent, set a practical upper bound based on expected data volume and monitor for abuse. This is crucial.- Rate Limiting: Implement rate limiting on pagination requests, especially for endpoints known to be resource-intensive. This can prevent attackers from repeatedly requesting very large page numbers.
- Database Query Optimization: Optimize database queries to handle large offsets efficiently. Use appropriate indexing. Consider using
EXPLAIN
(or your database's equivalent) to analyze query performance. - Keyset Pagination (Alternative): For very large datasets, consider using keyset pagination (cursor-based pagination) instead of offset-based pagination. This avoids the need to calculate large offsets, fundamentally mitigating this threat. This would require a different pagination solution or a custom implementation, as
will_paginate
doesn't natively support it.
- Description: An attacker provides an extremely large