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SqliMatchStatement

Source code in docs_src/capo_wafv2/types/sqli_match_statement.py
class SqliMatchStatement(TypedDict, closed=True):
    field_to_match: "capo_wafv2.types.field_to_match.FieldToMatch"
    """<p>The part of the web request that you want WAF to inspect. </p>"""
    text_transformations: "capo_wafv2.types.text_transformations.TextTransformations"
    """<p>Text transformations eliminate some of the unusual formatting that attackers use in web requests in an effort to bypass detection. Text transformations are used in rule match statements, to transform the <code>FieldToMatch</code> request component before inspecting it, and they're used in rate-based rule statements, to transform request components before using them as custom aggregation keys. If you specify one or more transformations to apply, WAF performs all transformations on the specified content, starting from the lowest priority setting, and then uses the transformed component contents. </p>"""
    pre_parse_text_transformations: NotRequired[
        "capo_wafv2.types.pre_parse_text_transformations.PreParseTextTransformations"
    ]
    """<p>Pre-parse text transformations normalize the raw query string before WAF parses it into individual query arguments. They are applied before the standard text transformations. Pre-parse text transformations are only supported when <code>FieldToMatch</code> is <code>SingleQueryArgument</code> or <code>AllQueryArguments</code>. You can specify up to 10 pre-parse text transformations per rule statement.</p>"""
    sensitivity_level: NotRequired[
        "capo_wafv2.types.sensitivity_level.SensitivityLevel"
    ]
    """<p>The sensitivity that you want WAF to use to inspect for SQL injection attacks. </p> <p> <code>HIGH</code> detects more attacks, but might generate more false positives, especially if your web requests frequently contain unusual strings. For information about identifying and mitigating false positives, see <a href="https://docs.aws.amazon.com/waf/latest/developerguide/web-acl-testing.html">Testing and tuning</a> in the <i>WAF Developer Guide</i>.</p> <p> <code>LOW</code> is generally a better choice for resources that already have other protections against SQL injection attacks or that have a low tolerance for false positives. </p> <p>Default: <code>LOW</code> </p>"""

field_to_match instance-attribute

field_to_match: FieldToMatch

The part of the web request that you want WAF to inspect.

pre_parse_text_transformations instance-attribute

pre_parse_text_transformations: NotRequired[PreParseTextTransformations]

Pre-parse text transformations normalize the raw query string before WAF parses it into individual query arguments. They are applied before the standard text transformations. Pre-parse text transformations are only supported when FieldToMatch is SingleQueryArgument or AllQueryArguments. You can specify up to 10 pre-parse text transformations per rule statement.

sensitivity_level instance-attribute

sensitivity_level: NotRequired[SensitivityLevel]

The sensitivity that you want WAF to use to inspect for SQL injection attacks.

HIGH detects more attacks, but might generate more false positives, especially if your web requests frequently contain unusual strings. For information about identifying and mitigating false positives, see Testing and tuning in the WAF Developer Guide.

LOW is generally a better choice for resources that already have other protections against SQL injection attacks or that have a low tolerance for false positives.

Default: LOW

text_transformations instance-attribute

text_transformations: TextTransformations

Text transformations eliminate some of the unusual formatting that attackers use in web requests in an effort to bypass detection. Text transformations are used in rule match statements, to transform the FieldToMatch request component before inspecting it, and they're used in rate-based rule statements, to transform request components before using them as custom aggregation keys. If you specify one or more transformations to apply, WAF performs all transformations on the specified content, starting from the lowest priority setting, and then uses the transformed component contents.