nerdexam
F5

101 · Question #171

Tightening is a feature of which type of entity?

The correct answer is D. Wildcard parameters. Tightening is a learning refinement feature exclusive to wildcard parameters in BIG-IP ASM, where the system progressively restricts the allowed values or metadata of a wildcard entity based on observed traffic.

Section 2: F5 Solutions and Technology

Question

Tightening is a feature of which type of entity?

Options

  • AExplicit URLs
  • BAttack signatures
  • CFlow login URLs
  • DWildcard parameters

How the community answered

(39 responses)
  • A
    3% (1)
  • B
    3% (1)
  • D
    95% (37)

Why each option

Tightening is a learning refinement feature exclusive to wildcard parameters in BIG-IP ASM, where the system progressively restricts the allowed values or metadata of a wildcard entity based on observed traffic.

AExplicit URLs

Explicit URLs are fully defined entities with no wildcard scope to tighten - they either match or they do not.

BAttack signatures

Attack signatures are static or updated pattern definitions and do not undergo a tightening process based on traffic learning.

CFlow login URLs

Flow login URLs define authentication flow enforcement points and do not have a tightening mechanism in the ASM learning model.

DWildcard parametersCorrect

Wildcard parameters support tightening because they are broad catch-all definitions that must be narrowed over time - ASM learns actual parameter values and characteristics from traffic and can tighten the wildcard to more closely match legitimate usage, reducing the attack surface without requiring manual explicit parameter creation.

Concept tested: BIG-IP ASM wildcard parameter tightening via learning

Source: https://support.f5.com/csp/article/K8015

Topics

#tightening#wildcard parameters#entity types#security policy

Community Discussion

No community discussion yet for this question.

Full 101 Practice