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CAS-002 · Question #853

An insurance company has an online quoting system for insurance premiums. It allows potential customers to fill in certain details about their car and obtain a quote. During an investigation, the…

The correct answer is C. Resource exhaustion attack F. Implement an inline WAF and integrate into SIEM. The patterns indicate an automated bot-driven resource exhaustion attack, and an inline WAF integrated with SIEM is the most effective technical control to detect and block it.

Enterprise Security

Question

An insurance company has an online quoting system for insurance premiums. It allows potential customers to fill in certain details about their car and obtain a quote. During an investigation, the following patterns were detected:

Pattern 1 - Analysis of the logs identifies that insurance premium forms are being filled in but only single fields are incrementally being updated. Pattern 2 - For every quote completed, a new customer number is created; due to legacy systems, customer numbers are running out. Which of the following is the attack type the system is susceptible to, and what is the BEST way to defend against it? (Select TWO).

Options

  • AApply a hidden field that triggers a SIEM alert
  • BCross site scripting attack
  • CResource exhaustion attack
  • DInput a blacklist of all known BOT malware IPs into the firewall
  • ESQL injection
  • FImplement an inline WAF and integrate into SIEM
  • GDistributed denial of service
  • HImplement firewall rules to block the attacking IP addresses

How the community answered

(19 responses)
  • A
    16% (3)
  • C
    68% (13)
  • E
    5% (1)
  • G
    11% (2)

Why each option

The patterns indicate an automated bot-driven resource exhaustion attack, and an inline WAF integrated with SIEM is the most effective technical control to detect and block it.

AApply a hidden field that triggers a SIEM alert

A hidden field alert is a passive detection mechanism only and does not prevent or mitigate the resource exhaustion - it does not stop the customer number depletion.

BCross site scripting attack

Cross-site scripting involves injecting malicious client-side scripts into pages to target other users, which does not match the automated form-filling and customer number exhaustion patterns described.

CResource exhaustion attackCorrect

Pattern 1 shows automated incremental form submissions consistent with bot activity, and Pattern 2 shows a finite resource - customer numbers - being depleted at scale, which is the definition of a resource exhaustion attack targeting a legacy system constraint.

DInput a blacklist of all known BOT malware IPs into the firewall

Blacklisting known bot IPs is ineffective because distributed bots rotate across many IP addresses, making a static blacklist insufficient to prevent ongoing resource exhaustion.

ESQL injection

SQL injection involves inserting malicious SQL syntax into input fields to manipulate the database directly, which is not indicated by the incremental form updates and customer number exhaustion patterns.

FImplement an inline WAF and integrate into SIEMCorrect

An inline WAF can identify and block automated bot traffic in real time based on behavioral patterns such as rapid sequential form submissions, while SIEM integration provides centralized alerting, correlation, and forensic visibility into the ongoing attack.

GDistributed denial of service

A DDoS attack aims to overwhelm network or application availability with traffic volume, which differs from the targeted resource exhaustion of a finite customer number pool described here.

HImplement firewall rules to block the attacking IP addresses

Blocking individual attacker IPs is a reactive and incomplete measure since bot networks use many distributed source IPs, making per-IP firewall rules insufficient to stop the attack.

Concept tested: Resource exhaustion attack identification and WAF-based mitigation

Source: https://owasp.org/www-community/attacks/Denial_of_Service

Topics

#resource exhaustion#WAF integration#bot mitigation#SIEM

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