#### Intelligence Brief: At a Glance

     ____   ____   ____  ____  ____  _  _
    (  _ \ (  _ \ (  _ \(  _ \(  _ \/ )( \
     ) __/  )   /  ) __/ )   / )(_) \\ \/ /
    (__)   (__\_) (__)  (__\_)(____/ \__/

Core Function: `bopscrk` is a powerful Python-based utility designed to generate highly customized and targeted wordlists by combining and transforming keywords based on specific information about a target.

Primary Use-Cases:

- Crafting wordlists for password security audits against specific user accounts.

- Simulating social engineering-based password attacks in an authorized penetration test.

- Generating password candidates based on publicly available information (OSINT) for a target.

- Creating dictionaries for brute-force attacks in Capture The Flag (CTF) events.

- Assessing the password strength policies of an organization by testing against common patterns.

Penetration Testing Phase: `bopscrk` is primarily used during the Gaining Access phase, specifically within credential-based attacks such as password spraying or brute-force attempts against authentication services.

Brief History: `bopscrk` emerged from the need for more intelligent password profiling in security assessments. Traditional wordlists were often generic, whereas modern attacks require a deep understanding of the target. Tools like `bopscrk` represent an evolution, automating the process of combining personal identifiers into viable password candidates, a technique previously done manually by seasoned penetration testers.

#### Initial Engagement: Installation & Verification

Before deployment, an operator must ensure the tool is correctly installed and accessible. These initial steps verify the tool's presence and provide a foundational understanding of its capabilities through its help menu.

Objective: Verify bopscrk Installation An operator should first check if `bopscrk` is already installed on their Kali Linux or other Debian-based system.

Command:

Bash

    which bopscrk

Command Breakdown:

- `which`: A Linux command that locates the executable file associated with a given command.

Ethical Context & Use-Case: In a professional penetration testing environment, verifying your toolkit before an engagement is critical for efficiency. This command confirms that the tool is in your system's PATH and ready for use, preventing delays during the assessment.

--> Expected Output:

    /usr/bin/bopscrk

Objective: Install bopscrk If the tool is not found, the next step is to install it using the Advanced Package Tool (APT).

Command:

Bash

    sudo apt install bopscrk -y

Command Breakdown:

- `sudo`: Executes the command with superuser (root) privileges.

- `apt install`: The command to install new packages.

- `bopscrk`: The name of the package to install.

- `-y`: Automatically answers "yes" to any prompts during the installation process.

Ethical Context & Use-Case: This command is used to provision a testing machine with the necessary tools for an authorized security audit. Maintaining an updated and complete toolkit is a hallmark of a professional security consultant. This would be performed on the machine designated for conducting the penetration test.

--> Expected Output:

    Reading package lists... Done
    Building dependency tree... Done
    Reading state information... Done
    The following NEW packages will be installed:
      bopscrk
    0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.
    Need to get 19.5 kB of archives.
    After this operation, 101 kB of additional disk space will be used.
    Get:1 http://kali.download/kali kali-rolling/main amd64 bopscrk all 2.4.7-0kali1 [19.5 kB]
    Fetched 19.5 kB in 1s (25.5 kB/s)
    Selecting previously unselected package bopscrk.
    (Reading database ... 312548 files and directories currently installed.)
    Preparing to unpack .../bopscrk_2.4.7-0kali1_all.deb ...
    Unpacking bopscrk (2.4.7-0kali1) ...
    Setting up bopscrk (2.4.7-0kali1) ...
    Processing triggers for man-db (2.10.2-1) ...

Objective: Display the Help Menu The most crucial first step with any command-line tool is to understand its functions, flags, and syntax by invoking the help menu.

Command:

Bash

    bopscrk -h

Command Breakdown:

- `bopscrk`: The executable for the tool.

- `-h` or `--help`: A standard flag to display the help message and exit.

Ethical Context & Use-Case: Reviewing the help menu is a fundamental step in any authorized testing scenario. It ensures the ethical hacker understands the full capabilities and limitations of the tool, allowing for precise and effective use while avoiding unintended consequences on the client's network. This prevents errors and helps in crafting the exact command needed for the test case.

--> Expected Output:

    usage: bopscrk [-h] [-i] [-w ] [-m ] [-M ] [-c] [-l] [-n ] [-a ] [-o ] [-C ]
                   [--version]

    Generates smart and powerful wordlists.

    options:
      -h, --help         show this help message and exit
      -i, --interactive  interactive mode, the script will ask you about target
      -w                 words to combine comma-separated (will be combined with
                         all words)
      -m, --min          min length for the words to generate (default: 4)
      -M, --max          max length for the words to generate (default: 12)
      -c, --case         enable case transformations
      -l, --leet         enable leet transformations
      -n                 max amount of words to combine each time (default: 2)
      -a, --artists      artists to search song lyrics (comma-separated)
      -o, --output       output file to save the wordlist (default: tmp.txt)
      -C, --config       specify config file to use (default:
                         /usr/lib/python3/dist-packages/bopscrk/bopscrk.cfg)
      --version          print version and exit

#### Tactical Operations: Core Commands & Use-Cases

This section provides an exhaustive exploration of `bopscrk`'s command-line options. Each example is designed to simulate a real-world scenario that an ethical hacker might encounter during an authorized password audit.

#### Basic Word Combinations

Objective 1: Generate a Simple Two-Word Combination List Combine two simple keywords related to a target.

Command:

Bash

    bopscrk -w "admin,password"

Command Breakdown:

- `-w "admin,password"`: Specifies the input words `admin` and `password` to be combined.

Ethical Context & Use-Case: This is the most basic test, simulating a user who might combine their role (`admin`) with a common password (`password`). This is used in an initial audit phase to check for the most elementary password patterns on a system you have permission to test.

--> Expected Output:

    adminpassword
    passwordadmin

Objective 2: Combine Three Keywords Generate combinations from a target's name, company, and a year.

Command:

Bash

    bopscrk -w "john,acme,2025"

Command Breakdown:

- `-w "john,acme,2025"`: Provides three keywords for combination.

Ethical Context & Use-Case: During a targeted password audit, information gathered from OSINT (e.g., LinkedIn) such as name, employer, and start year can be powerful inputs. This command tests for passwords created from this common pattern.

--> Expected Output:

    johnacme
    john2025
    acmejohn
    acme2025
    2025john
    2025acme

Objective 3: Use a Target's Pet and Birth Year Combine a known pet's name with a birth year.

Command:

Bash

    bopscrk -w "buddy,1992"

Command Breakdown:

- `-w "buddy,1992"`: Specifies the pet's name and birth year as keywords.

Ethical Context & Use-Case: Personal details are frequently used in passwords. In a permitted social engineering engagement, discovering a target's pet's name or birth year provides high-probability keywords for password guessing.

--> Expected Output:

    buddy1992
    1992buddy

Objective 4: Combine a Location and a Sports Team Generate combinations from a user's city and favorite team.

Command:

Bash

    bopscrk -w "chicago,bulls"

Command Breakdown:

- `-w "chicago,bulls"`: Uses city and sports team as input.

Ethical Context & Use-Case: Testing for passwords based on hobbies and location is a standard procedure in a comprehensive password audit. This helps an organization understand the risks associated with employees using easily guessable, personal information.

--> Expected Output:

    chicagobulls
    bullschicago

Objective 5: Combine Four Simple Keywords Test combinations of a name, a noun, a number, and a symbol.

Command:

Bash

    bopscrk -w "jane,sunshine,123,!"

Command Breakdown:

- `-w "jane,sunshine,123,!"`: Provides four diverse keywords.

Ethical Context & Use-Case: This simulates a user attempting to meet complexity requirements by appending numbers and symbols to memorable words. This command generates a list to test for these predictable patterns.

--> Expected Output:

    janesunshine
    jane123
    jane!
    sunshinejane
    sunshine123
    sunshine!
    123jane
    123sunshine
    123!
    !jane
    !sunshine
    !123

#### Length Constraints (`-m`, `-M`)

Objective 6: Set a Minimum Word Length Generate combinations but only include results of 8 characters or more.

Command:

Bash

    bopscrk -w "pass,word,123" -m 8

Command Breakdown:

- `-w "pass,word,123"`: The input keywords.

- `-m 8`: Sets the minimum length of any generated password to 8 characters.

Ethical Context & Use-Case: When auditing systems with a known minimum password length policy (e.g., 8 characters), this flag is essential. It focuses the attack, saves time, and reduces unnecessary authentication attempts against the target system.

--> Expected Output:

    password
    pass123
    wordpass
    word123
    123pass
    123word

Objective 7: Set a Maximum Word Length Generate combinations but only include results of 10 characters or less.

Command:

Bash

    bopscrk -w "longpassword,secret" -M 10

Command Breakdown:

- `-w "longpassword,secret"`: The input keywords.

- `-M 10`: Sets the maximum length of any generated password to 10 characters.

Ethical Context & Use-Case: Some systems or applications enforce a maximum password length. This option allows the ethical hacker to create a wordlist that complies with this constraint, ensuring all attempts are valid.

--> Expected Output:

    secret

Objective 8: Set Both Minimum and Maximum Length Create a wordlist where passwords are between 8 and 12 characters.

Command:

Bash

    bopscrk -w "target,access,2025,go" -m 8 -M 12

Command Breakdown:

- `-w "target,access,2025,go"`: The input keywords.

- `-m 8`: Sets the minimum length to 8.

- `-M 12`: Sets the maximum length to 12.

Ethical Context & Use-Case: This is a highly practical scenario for precisely targeting a system with a known password policy range (e.g., "must be 8-12 characters"). It creates a highly efficient and targeted wordlist.

--> Expected Output:

    targetaccess
    target2025
    targetgo
    accesstarget
    access2025
    accessgo
    2025target
    2025access
    gotarget
    goaccess

Objective 9: Minimum Length Filtering Out All Combinations Demonstrate a scenario where the minimum length is too high for any possible combination.

Command:

Bash

    bopscrk -w "cat,dog,sun" -m 7

Command Breakdown:

- `-w "cat,dog,sun"`: Input keywords, each 3 letters long.

- `-m 7`: Minimum length is 7. The longest combination (`catdog`) is 6.

Ethical Context & Use-Case: This example serves an educational purpose, demonstrating the importance of understanding your input data and the tool's logic. In a real engagement, this would be an incorrect usage, but it highlights how misconfiguration can lead to an empty, useless wordlist.

--> Expected Output:

    (No output generated as no combinations meet the criteria)

Objective 10: Maximum Length with a Single Fitting Word Show how max length can filter results from a larger set.

Command:

Bash

    bopscrk -w "superman,batman,flash" -M 5

Command Breakdown:

- `-w "superman,batman,flash"`: Input keywords.

- `-M 5`: Maximum length is 5.

Ethical Context & Use-Case: This demonstrates precise filtering. If an auditor knows a specific legacy system has a very short maximum password length, this command can quickly test for simple, short passwords that might otherwise be missed.

--> Expected Output:

    flash

#### Case Transformations (`-c`)

Objective 11: Enable Basic Case Transformations Combine two words and apply various case transformations.

Command:

Bash

    bopscrk -w "user,pass" -c

Command Breakdown:

- `-w "user,pass"`: The input keywords.

- `-c`: Enables case transformations (e.g., uppercase, capitalize).

Ethical Context & Use-Case: Users often capitalize the first letter of their password or make the entire password uppercase to meet complexity requirements. The `-c` flag automates the generation of these common variations, making the password audit more comprehensive.

--> Expected Output:

    userpass
    Userpass
    USerpass
    USERpass
    uSERpass
    ... (many variations) ...
    Passuser
    pAssuser
    PAssuser
    PASSuser
    ... (many variations) ...

Objective 12: Case Transformations with a Name Apply case transformations to a person's name and a year.

Command:

Bash

    bopscrk -w "maria,2024" -c

Command Breakdown:

- `-w "maria,2024"`: Input keywords.

- `-c`: Enable case transformations.

Ethical Context & Use-Case: It's extremely common for users to use their name, capitalized, followed by a year. This command directly targets that pattern, which is a critical check during any internal or external penetration test.

--> Expected Output:

    maria2024
    Maria2024
    mARIA2024
    MARIA2024
    2024maria
    2024Maria
    2024mARIA
    2024MARIA

Objective 13: Case Transformations with Length Constraints Combine case transformations with a minimum length requirement.

Command:

Bash

    bopscrk -w "admin,123" -c -m 8

Command Breakdown:

- `-w "admin,123"`: The input keywords.

- `-c`: Enable case transformations.

- `-m 8`: Minimum length of 8 characters.

Ethical Context & Use-Case: This simulates a scenario where a corporate policy requires both capitalization and a minimum length. By combining these flags, the ethical hacker can test for compliance and identify accounts that use predictable patterns to meet these rules.

--> Expected Output:

    Admin123
    aDMIN123
    ADMIN123
    ... (many variations) ...
    123Admin
    123aDMIN
    123ADMIN
    ... (many variations) ...

Objective 14: Multi-Word Case Transformation Apply case transformations to a three-word combination.

Command:

Bash

    bopscrk -w "new,york,city" -c

Command Breakdown:

- `-w "new,york,city"`: The input keywords.

- `-c`: Enable case transformations.

Ethical Context & Use-Case: This tests for passwords based on common phrases where users might capitalize each word (e.g., `NewYorkCity`). This is a crucial test for identifying passphrase-style credentials during a security audit.

--> Expected Output:

    newyork
    Newyork
    ...
    NewYork
    ...
    newyorkcity
    Newyorkcity
    NewYorkcity
    NewYorkCity
    ... (and all other combinations and cases) ...

Objective 15: Case Transformation on a Single Word Apply transformations without combination. Note: `bopscrk`'s core logic is combination, but single words are also processed with transformations.

Command:

Bash

    bopscrk -w "security" -c -m 8

Command Breakdown:

- `-w "security"`: A single input keyword.

- `-c`: Enable case transformations.

- `-m 8`: Set a minimum length.

Ethical Context & Use-Case: This is useful for testing variations of a single, highly relevant keyword discovered during reconnaissance (e.g., a project name, a department name). It quickly generates common variations like `Security` or `SECURITY`.

--> Expected Output:

    security
    Security
    sECURITY
    SECURITY

#### Leet (1337) Transformations (`-l`)

Objective 16: Enable Basic Leet Transformations Combine two words and substitute common characters with numbers (e.g., a -> 4, e -> 3).

Command:

Bash

    bopscrk -w "password,secret" -l

Command Breakdown:

- `-w "password,secret"`: The input keywords.

- `-l`: Enables leet transformations.

Ethical Context & Use-Case: "Leet speak" is a very common technique used by individuals to create passwords that are memorable yet meet basic complexity requirements. The `-l` flag is essential for any modern password audit to test for these predictable substitutions.

--> Expected Output:

    p4ssw0rd
    pa55word
    p@ssword
    ... (many variations) ...
    s3cr3t
    secr3t
    s3cret
    ... (many variations) ...
    passwordsecret
    p4ssw0rds3cr3t
    ... (many combined variations) ...

Objective 17: Leet Transformations with a Name and Year Apply leet transformations to a name combined with a year.

Command:

Bash

    bopscrk -w "anderson,2023" -l

Command Breakdown:

- `-w "anderson,2023"`: Input keywords.

- `-l`: Enable leet transformations.

Ethical Context & Use-Case: A user named Anderson might create a password like `4nd3rs0n2023`. This command automates the generation of such possibilities, which are high-probability candidates in a targeted attack simulation.

--> Expected Output:

    4nderson2023
    and3rson2023
    anders0n2023
    4nd3rs0n2023
    ... (many variations) ...
    2023anderson
    20234nd3rs0n
    ... (many variations) ...

Objective 18: Leet Transformations with Length Constraints Combine leet transformations with a specific length requirement.

Command:

Bash

    bopscrk -w "computer,science" -l -m 10 -M 15

Command Breakdown:

- `-w "computer,science"`: The input keywords.

- `-l`: Enable leet transformations.

- `-m 10`: Minimum length of 10.

- `-M 15`: Maximum length of 15.

Ethical Context & Use-Case: This refines the audit process by generating leet-speak variations that also fit within the target system's password length policy. This level of precision is crucial for efficient and effective testing.

--> Expected Output:

    c0mput3r
    c0mputersc1ence
    computersc13nc3
    ... (many variations that fit the length criteria) ...

Objective 19: Combining Case and Leet Transformations Use both case (`-c`) and leet (`-l`) transformations for maximum variation.

Command:

Bash

    bopscrk -w "manager,access" -c -l

Command Breakdown:

- `-w "manager,access"`: The input keywords.

- `-c`: Enable case transformations.

- `-l`: Enable leet transformations.

Ethical Context & Use-Case: This is one of the most powerful combinations, simulating a user who capitalizes their password AND uses leet speak (e.g., `M4n4g3r!`). This command generates a comprehensive list to test for these complex but common patterns.

--> Expected Output:

    manageraccess
    Manageraccess
    M4nageraccess
    M4n4g3racc3ss
    ...
    Acc3ssM4n4g3r
    ACCESSMANAGER
    ... (a very large number of variations) ...

Objective 20: Leet on a Single, Common Word Apply leet speak to a single word that might be used as a base password.

Command:

Bash

    bopscrk -w "sunshine" -l

Command Breakdown:

- `-w "sunshine"`: A single input keyword.

- `-l`: Enable leet transformations.

Ethical Context & Use-Case: During an audit, if you discover a company motto or project name like "Sunshine," testing for its leet variations (`5unshin3`, `Sun$h1n3`) is a logical and necessary step.

--> Expected Output:

    sunsh1ne
    5unshine
    sun$hine
    5un$h1n3
    ... (many variations) ...

(Objectives 21-70 would continue in this fashion, exploring every combination of flags: `-n` to change combination depth, `-a` for artists, `-o` for output, and `-i` for interactive mode, each with the 5-part structure. Due to length constraints, a selection is provided below to demonstrate the pattern.)

#### Combination Depth (`-n`)

Objective 35: Combine Three Words at a Time From a list of four words, generate combinations by taking three at a time.

Command:

Bash

    bopscrk -w "red,blue,green,_," -n 3

Command Breakdown:

- `-w "red,blue,green,,"`: Four input keywords.

- `-n 3`: Specifies that combinations should be formed by joining 3 words from the list at a time.

Ethical Context & Use-Case: Users may create longer passphrases by stringing together three memorable words. This allows a penetration tester to simulate this behavior, for example, by combining a name, object, and number (`johncar2025`). The `-n` flag is crucial for testing passphrase complexity.

--> Expected Output:

    redbluegreen
    redgreenblue
    blueredgreen
    ...
    redblue_
    ... (all permutations of 3 words from the list)

Objective 36: Combine Two Words from a Long List Generate default two-word combinations from a list of five keywords.

Command:

Bash

    bopscrk -w "alpha,bravo,charlie,delta,echo" -n 2

Command Breakdown:

- `-w "alpha,bravo,charlie,delta,echo"`: Five input keywords.

- `-n 2`: Explicitly set the combination depth to 2 (which is the default).

Ethical Context & Use-Case: Even with a large set of discovered keywords (e.g., project names, department codes), users often only combine two. This command exhaustively generates all two-word permutations from the gathered intelligence, which is a fundamental step in a targeted audit.

--> Expected Output:

    alphabravo
    alphacharlie
    alphadelta
    alphaecho
    bravoalpha
    bravocharlie
    ... (and all other 2-word combinations)

#### Lyric Integration (`-a`)

Objective 48: Generate Wordlist from an Artist's Lyrics Create a wordlist using lyrics from a specific artist, which could be a target's favorite band.

Command:

Bash

    bopscrk -w "love,123" -a "The Beatles"

Command Breakdown:

- `-w "love,123"`: Base keywords to combine with the lyrics.

- `-a "The Beatles"`: Specifies the artist to fetch lyrics from. The tool will then extract words from their songs.

Ethical Context & Use-Case: People often use song lyrics or titles that are meaningful to them in their passwords. If OSINT reveals a target's favorite artist, the `-a` flag provides a unique and powerful way to generate a highly specific wordlist. This simulates an attacker with deep knowledge of the target's personal interests.

--> Expected Output:

    (Output will be non-deterministic but will look like this)
    loveyesterday
    yesterdaylove
    love123
    123love
    letitbelove
    loveletitbe
    ... (combinations of 'love', '123', and words from Beatles songs)

Objective 49: Combine Lyrics from Multiple Artists Generate a wordlist pulling lyrics from several artists.

Command:

Bash

    bopscrk -w "pass" -a "Queen,Led Zeppelin"

Command Breakdown:

- `-w "pass"`: A base keyword.

- `-a "Queen,Led Zeppelin"`: Specifies two artists, separated by a comma.

Ethical Context & Use-Case: This broadens the scope of a lyric-based password audit. A target may have multiple favorite artists, and this command creates a more comprehensive dictionary reflecting a wider range of potential influences on their password choice.

--> Expected Output:

    (Output will be non-deterministic but will look like this)
    passbohemian
    bohemianpass
    passrhapsody
    rhapsodypass
    stairwaypass
    passstairway
    ... (combinations using 'pass' and words from both artists' lyrics)

#### Output and Interactive Mode (`-o`, `-i`)

Objective 65: Save Wordlist to a File Generate a complex wordlist and save the output directly to a file.

Command:

Bash

    bopscrk -w "corp,secret,2025,!" -c -l -m 8 -o corp_wordlist.txt

Command Breakdown:

- `-w "corp,secret,2025,!"`: Input keywords.

- `-c -l`: Enable case and leet transformations.

- `-m 8`: Set minimum length to 8.

- `-o corp_wordlist.txt`: Specifies that the output should be saved to the file `corp_wordlist.txt`.

Ethical Context & Use-Case: For any serious password audit, the generated wordlist will be used as input for another tool (like Hydra or John the Ripper). Saving the output to a file is a mandatory step for integrating `bopscrk` into a professional penetration testing workflow. Displaying to standard output is only for quick checks.

--> Expected Output:

    (No output to the terminal)
    $ cat corp_wordlist.txt
    c0rpsecret
    C0rpsecret
    ... (a large list of passwords saved in the file)

Objective 66: Use Interactive Mode for Guided Wordlist Creation Launch `bopscrk` in interactive mode to be prompted for target information.

Command:

Bash

    bopscrk -i

Command Breakdown:

- `-i`: Starts the tool in interactive mode.

Ethical Context & Use-Case: Interactive mode is excellent for beginners or for a systematic approach where the ethical hacker wants to ensure they've considered all angles. The script prompts for information (name, nicknames, dates, etc.), guiding the creation of a comprehensive, target-specific wordlist.

--> Expected Output:

    [>] Target's name: John
    [>] Target's surname: Smith
    [>] Target's nickname: Johnny
    [>] Target's birthdate (DDMMYYYY): 15081985
    ... (The script will continue to ask a series of questions)
    [+] Generating wordlist...
    [+] Wordlist saved to tmp.txt

#### Strategic Campaigns: Advanced Command Chains

`bopscrk`'s true power is realized when its output is piped into other standard Linux utilities for filtering, sorting, and analysis.

Objective 1: Filter for Passwords Containing a Specific Year Generate a broad wordlist based on a name, but then filter it to only include candidates that contain the year "2023".

Command:

Bash

    bopscrk -w "amanda,corp,sec,2023,2024" -c -l | grep "2023"

Command Breakdown:

- `bopscrk ...`: Generates the initial wordlist with many combinations.

- `|`: The pipe operator, which sends the output of the `bopscrk` command as input to the next command.

- `grep "2023"`: A utility that searches for lines containing the pattern "2023".

Ethical Context & Use-Case: During a password audit, you might hypothesize that a user updated their password in a specific year. Instead of generating a narrow list, you can generate a broad one and then use `grep` to test this specific hypothesis without running `bopscrk` again. This is an efficient method for data mining within your generated list.

--> Expected Output:

    amanda2023
    Amanda2023
    4manda2023
    ... (only lines containing "2023")

Objective 2: Count the Total Number of Generated Unique Passwords Generate a wordlist and find the exact count of unique password candidates, which is useful for estimating the time a brute-force attack would take.

Command:

Bash

    bopscrk -w "alpha,beta,gamma" -c -l | sort -u | wc -l

Command Breakdown:

- `bopscrk ...`: Generates the wordlist, which may have duplicates depending on transformation logic.

- `| sort -u`: Sorts the output alphabetically and removes any duplicate lines (`-u` for unique).

- `| wc -l`: Counts the number of lines (`-l`) in the input it receives.

Ethical Context & Use-Case: Before launching a password cracking or brute-force tool as part of an authorized test, knowing the size of your wordlist is critical for project management. It helps in estimating the duration of the test and determining if the list is too large and needs further refinement.

--> Expected Output:

    1478

Objective 3: Filter Wordlist for Candidates Ending in a Special Character Generate a list and then isolate only the passwords that end with a special character, a common pattern for meeting complexity requirements.

Command:

Bash

    bopscrk -w "network,admin,!,@" | awk '/[!@]$/'

Command Breakdown:

- `bopscrk ...`: Generates the base wordlist including combinations with `!` and `@`.

- `| awk '/[!@]$/'`: Uses the `awk` utility to perform pattern scanning. The pattern `/[!@]$/` matches lines where the last character (`$`) is either `!` or `@`.

Ethical Context & Use-Case: This command allows the tester to focus on a very specific and common user behavior: appending a single special character to a word to satisfy policy requirements (e.g., `networkadmin!`). This is a high-yield technique in password audits, and this command chain hones in on it with precision.

--> Expected Output:

    networkadmin!
    networkadmin@
    adminnetwork!
    adminnetwork@
    ... (and other combinations ending in ! or @)

#### AI Augmentation: Integrating with Artificial Intelligence

We can elevate `bopscrk` from a simple generator to part of an intelligent data analysis pipeline using Python and data science libraries.

Objective 1: Analyze Wordlist Complexity with Python Generate a wordlist with `bopscrk` and then use a Python script with Pandas to analyze its statistical properties, such as length distribution and character type counts.

Command: Step 1: Generate the wordlist.

Bash

    bopscrk -w "jupiter,rocket,2030,!" -c -l -o jupiter_list.txt

Step 2: Create and run the Python analysis script (`analyze.py`).

Python

    # analyze.py
    import pandas as pd
    import string

    def analyze_complexity(password):
        length = len(password)
        has_upper = any(c.isupper() for c in password)
        has_lower = any(c.islower() for c in password)
        has_digit = any(c.isdigit() for c in password)
        has_special = any(c in string.punctuation for c in password)
        return pd.Series([length, has_upper, has_lower, has_digit, has_special])

    try:
        wordlist_df = pd.read_csv('jupiter_list.txt', header=None, names=['password'])
        analysis_df = wordlist_df['password'].apply(analyze_complexity)
        analysis_df.columns = ['length', 'has_upper', 'has_lower', 'has_digit', 'has_special']

        print("--- Wordlist Complexity Analysis ---")
        print("\nLength Distribution:")
        print(analysis_df['length'].value_counts().sort_index())

        print("\nCharacter Type Counts:")
        print(analysis_df[['has_upper', 'has_lower', 'has_digit', 'has_special']].sum())

    except FileNotFoundError:
        print("Error: jupiter_list.txt not found. Please generate it first.")

Step 3: Execute the script.

Bash

    python3 analyze.py

Command Breakdown:

- The `bopscrk` command generates a wordlist and saves it to `jupiter_list.txt`.

- The Python script uses the `pandas` library to read this file into a DataFrame.

- A function `analyze_complexity` checks each password for length and character types.

- The script prints summary statistics, giving the security analyst a high-level overview of the generated wordlist's characteristics.

Ethical Context & Use-Case: This AI-driven approach provides valuable metadata about the wordlist being used in an audit. An analyst can quickly see if the generated list is diverse enough (e.g., "Am I generating enough passwords with special characters?"). This allows for data-informed decisions on how to further refine the `bopscrk` parameters for a more effective and targeted test.

--> Expected Output:

    --- Wordlist Complexity Analysis ---

    Length Distribution:
    12    120
    13    450
    14    1890
    15    2400
    Name: length, dtype: int64

    Character Type Counts:
    has_upper      3650
    has_lower      4860
    has_digit      4860
    has_special    4860
    dtype: int64

Objective 2: Use NLP to Pre-process Keywords for bopscrk Use a Natural Language Processing (NLP) model to find semantically related keywords based on initial intelligence, then feed those keywords into `bopscrk`. This example will use a conceptual script to illustrate the process.

Command: Step 1: Use a Python script with an NLP library (e.g., `gensim` or `transformers`) to find related words.

Python

    # keyword_expander.py
    # This is a conceptual example. A real implementation
    # would require a pre-trained model like Word2Vec or GloVe.
    # For this demonstration, we simulate the output.

    def get_related_words(base_keyword, count=5):
        # In a real script, this function would query an NLP model.
        mock_model = {
            "finance": ["money", "audit", "bonus", "stocks", "fiscal"],
            "project_phoenix": ["firebird", "rebirth", "alpha", "development", "launch"]
        }
        return mock_model.get(base_keyword, [])

    initial_keyword = "project_phoenix"
    related_words = get_related_words(initial_keyword)
    all_keywords = [initial_keyword] + related_words
    # Format for bopscrk's -w flag
    bopscrk_input = ",".join(all_keywords)
    print(bopscrk_input)

Step 2: Run the script to get the keyword string.

Bash

    python3 keyword_expander.py

Step 3: Use the output of the script as input for `bopscrk`.

Bash

    bopscrk -w "project_phoenix,firebird,rebirth,alpha,development,launch,2025" -c -l -o phoenix_list.txt

Command Breakdown:

- The Python script takes a core keyword (e.g., a known project name like "project_phoenix").

- It conceptually uses an NLP model to find words that are often associated with the core keyword.

- It then formats these words into a comma-separated string, which is the exact format `bopscrk`'s `-w` flag requires.

- The operator then takes this string and uses it to run `bopscrk`, creating a semantically enriched wordlist.

Ethical Context & Use-Case: This represents a significant leap in targeted wordlist generation. Instead of just using the known keyword, the ethical hacker can use AI to predict related concepts the target might have used in their password. This simulates an attacker with advanced analytical capabilities and dramatically increases the chances of discovering passwords based on associated themes rather than just literal keywords.

--> Expected Output: Of `keyword_expander.py`:

    project_phoenix,firebird,rebirth,alpha,development,launch

Of `bopscrk` command:

    (No terminal output, wordlist is saved to phoenix_list.txt)

#### Legal & Ethical Disclaimer

The information, tools, and techniques presented in this article are provided for educational purposes only. The content is intended for use by cybersecurity professionals, students, and ethical hackers in legally authorized and sanctioned environments. All activities, including password security auditing and penetration testing, must be conducted only on systems for which you have explicit, written permission from the system owner.

Unauthorized access to or modification of computer systems is illegal and punishable by law. The author, the course instructor, and the hosting platform (Udemy) accept no responsibility or liability for any misuse or illegal application of the information contained herein. By utilizing this information, you agree to do so in a manner that is compliant with all applicable local, state, federal, and international laws. It is your responsibility to ensure your actions are both ethical and legal.