When performing a password spraying attack against an O365 or Azure AD environment, which TWO factors are most likely to increase the risk of detection or account lockout?
Trap 1: Using a low-and-slow approach with long intervals between…
A low-and-slow approach is specifically designed to evade detection by staying under the threshold of security alerting systems. It does not increase the risk of detection or lockout; rather, it is a recommended strategy to minimize the footprint of the attack during the reconnaissance and exploitation phases of an assessment.
Trap 2: Running the attack during peak business hours when user activity is…
Running attacks during business hours can actually help mask the malicious activity within the noise of legitimate traffic. While high activity increases the volume of logs, it does not inherently increase the risk of an individual account lockout, as the lockout threshold is typically based on repeated failures for a single account.
Trap 3: Using a common password that is included in the organization's…
Using a password that is on the banned list will result in an authentication failure, but it does not inherently increase the risk of detection more than any other incorrect password. The risk of detection is driven by the volume and frequency of failed attempts, not the specific content of the password.
- A
Using a low-and-slow approach with long intervals between authentication attempts.
Why it fails: A low-and-slow approach is specifically designed to evade detection by staying under the threshold of security alerting systems. It does not increase the risk of detection or lockout; rather, it is a recommended strategy to minimize the footprint of the attack during the reconnaissance and exploitation phases of an assessment.
- B
Targeting accounts that are managed by Conditional Access policies with geo-blocking enabled.
Conditional Access policies can trigger alerts if authentication attempts originate from unexpected locations or if the user fails to satisfy multi-factor authentication requirements. Attempting to spray these accounts frequently leads to logs showing repeated authentication failures from unauthorized locations, which is a high-fidelity indicator for security monitoring tools to flag.
- C
Running the attack during peak business hours when user activity is highest.
Why it fails: Running attacks during business hours can actually help mask the malicious activity within the noise of legitimate traffic. While high activity increases the volume of logs, it does not inherently increase the risk of an individual account lockout, as the lockout threshold is typically based on repeated failures for a single account.
- D
Executing the spray using a single IP address without rotating through a proxy pool.
Using a single IP address makes it trivial for automated systems to correlate failures and block the source. Most modern identity providers implement rate-limiting or blocking based on source IP addresses. Failing to rotate IP addresses ensures that all attempts are linked to a single point, triggering automated defensive responses quickly.
- E
Using a common password that is included in the organization's banned password list.
Why it fails: Using a password that is on the banned list will result in an authentication failure, but it does not inherently increase the risk of detection more than any other incorrect password. The risk of detection is driven by the volume and frequency of failed attempts, not the specific content of the password.