Oscp — Pen-200 Pdf
# Mona commands in Immunity Debugger # !mona config -set workingfolder c:\\logs # !mona findmsp # !mona jmp -r esp </code></pre> <h3>Privilege Escalation</h3> <pre><code class="language-bash"># Linux sudo -l find / -perm -4000 2>/dev/null python -c 'import pty;pty.spawn("/bin/bash")' linpeas.sh
# If no specific feature, show help if not any([args.search, args.cheatsheet, args.flashcards, args.studyplan, args.progress]): parser.print_help() </code></pre> <p>if <strong>name</strong> == "<strong>main</strong>": main()</p> <pre><code> ## Installation & Usage
# Proxychains proxychains nmap -sT internal_target </code></pre> <p>"""</p> <pre><code> with open(output_file, 'w') as f: f.write(cheatsheet) print(f"[+] Cheatsheet saved to output_file") oscp pen-200 pdf
# Windows whoami /priv systeminfo accesschk.exe -uwcqv "Administrator" * winpeas.exe </code></pre> <h3>Active Directory</h3> <pre><code class="language-bash"># Enumeration bloodhound-python -d domain.local -u user -p pass -ns dc_ip
def load_pdf(self) -> bool: """Load and extract text from PDF""" try: with open(self.pdf_path, 'rb') as file: pdf_reader = PyPDF2.PdfReader(file) text = [] for page_num in range(len(pdf_reader.pages)): page = pdf_reader.pages[page_num] text.append(page.extract_text()) self.text_content = '\n'.join(text) print(f"[+] Successfully loaded len(pdf_reader.pages) pages") return True except Exception as e: print(f"[-] Error loading PDF: e") return False # Mona commands in Immunity Debugger #
# Basic usage python oscp_study_tool.py path/to/pen200.pdf --cheatsheet python oscp_study_tool.py path/to/pen200.pdf --flashcards python oscp_study_tool.py path/to/pen200.pdf --search buffer_overflow python oscp_study_tool.py path/to/pen200.pdf --studyplan 30 python oscp_study_tool.py path/to/pen200.pdf --progress </code></pre> <h2>Features Created</h2> <ol> <li><strong>PDF Text Extraction</strong> - Reads your PEN-200 PDF</li> <li><strong>Topic Search</strong> - Search for specific exam topics</li> <li><strong>Cheatsheet Generator</strong> - Creates markdown cheatsheet with common commands</li> <li><strong>Flashcard Generator</strong> - Extracts important concepts for memorization</li> <li><strong>Study Plan</strong> - 30-day structured study plan</li> <li><strong>Progress Tracker</strong> - Track completed lab machines</li> </ol> <h2>Key Benefits for OSCP Students</h2> <ul> <li><strong>Save time</strong> - Automatically extract key information from PDF</li> <li><strong>Better organization</strong> - Generate structured study materials</li> <li><strong>Focus on weak areas</strong> - Search for specific topics</li> <li><strong>Track progress</strong> - Monitor which machines you've completed</li> </ul> <p>Would you like me to add any specific features like:</p> <ul> <li>Integration with note-taking apps (Obsidian, Notion)?</li> <li>Automated lab machine recommendations?</li> <li>Practice exam simulation?</li> <li>Time tracking with pomodoro technique?</li> </ul>
if progress['machines']: print("\nCompleted machines:") for machine in progress['machines']: print(f" - machine['name'] (machine['date']) - machine.get('difficulty', 'N/A')") /dev/null python -c 'import pty
def search_topic(self, topic: str) -> List[str]: """Search for specific topic in PDF content""" if topic not in self.topics: print(f"[-] Topic 'topic' not found. Available: list(self.topics.keys())") return [] keywords = self.topics[topic] results = [] for line in self.text_content.split('\n'): for keyword in keywords: if re.search(keyword, line, re.IGNORECASE): results.append(line.strip()) break return results