Full Access CompTIA PT0-003 Tutorials

CrackMapExec (CME) is the best choice because it supports authenticated enumeration against Active Directory and can retrieve domain configuration information—including password policy details—using valid domain credentials. In the PenTest+ methodology, once a tester has a standard domain account, a common next step is to enumerate domain settings that influence attack feasibility and safety, such as minimum password length, complexity requirements, lockout threshold, lockout duration, and password history. These values directly inform how to build a “policy-aware” custom wordlist and how to tune dictionary or spraying attempts to remain within rules of engagement and avoid triggering lockouts.

Responder is primarily used for LLMNR/NBT-NS poisoning and capturing or relaying authentication on local networks; it does not query AD policy as its main function. Hydra is a login brute-force tool that performs attacks, not policy retrieval. msfvenom is a payload generator used for exploitation and post-exploitation delivery, unrelated to enumerating AD password policy. Therefore, CME is the most appropriate tool to retrieve the password policy for informed dictionary construction.

The script iterates through a list of target hosts and sends an HTTP request to a vulnerable endpoint (atod.php) with a parameter (execf=) that appears to trigger remote command execution on each device. The command being issued is echo "ssh-ed25519 ..." followed by an append redirection operator (>>) into a file under /root/authorized_users. The ssh-ed25519 string is the format of an SSH public key, and appending a public key into an “authorized users/keys” style file is a common persistence technique that allows the tester (or an attacker) to authenticate via SSH without knowing a password.

In PenTest+ terms, this is establishing persistence/backdoor access after exploitation by planting an authentication mechanism that can be reused later. It is not creating a bind shell (no listener is set up), not changing a root password (no passwd or hash modification is shown), and not generating keys for decryption (the key material is being written to an authorization file for access). The loop indicates the intent is to apply this across multiple affected devices.

Comprehensive and Detailed Explanation:

The scenario indicates that the tester’s capture device, when in monitor mode, cannot detect the target wireless network.

The most likely cause is frequency band incompatibility — if the client’s wireless infrastructure uses Wi-Fi 6E (6GHz band), and the tester’s adapter only supports 2.4GHz/5GHz, then the tester won’t see any packets or SSIDs from that band.

Why not the others:

B. Misconfiguration: While possible, the question specifies the network cannot be seen at all, pointing to hardware capability rather than misconfiguration.

C. Wrong SSID: Even with a wrong SSID, the tester would still see the beacon frames if on the same frequency band.

D. Not using Aircrack-ng: The tool used doesn’t affect whether the capture device can see the network — the adapter’s frequency support does.

CompTIA PT0-003 Mapping:

Domain 3.0: Attacks and Exploits

Wireless network attacks and troubleshooting (frequency bands, hardware compatibility, Wi-Fi 6E considerations).

The script shows:

Use of BlobServiceClient.from_connection_string() — this is Azure Blob Storage interaction.

It opens a local file in binary mode (with open(file_path, "rb")).

Calls blob_client.upload_blob(data) — clearly indicating uploading the local file to cloud storage.

This matches data exfiltration activity, where stolen or sensitive local files are sent to an external system (cloud storage).

Why not the others?

A. API endpoint: The code uses Azure Blob storage SDK, not a REST API endpoint.

B. Download data from cloud storage: Code uploads, not downloads.

C. Alternate data streams (ADS): That’s a Windows NTFS feature, unrelated to cloud storage.

CompTIA PT0-003 Objective Mapping:

Domain 3.0 Attacks and Exploits

3.2: Post-exploitation techniques (data exfiltration, cloud storage use).