ChatGPT For Cybersecurity

ChatGPT For Cybersecurity

🎙 HackerSploit 👥 1.0M 📅 January 1, 2023 ⏱ 40 min 👁 489K 📄 tutorial 🧭 2026-10-09
Available in: English (current) Français

Keywords

ChatGPTcybersecuritypenetration testingred teamblue team

Summary

This video from HackerSploit introduces ChatGPT and demonstrates its application in cybersecurity. The creator explains what ChatGPT is, mentioning its training via reinforcement learning from human feedback and its foundation on GPT-3.5. After a brief overview, he provides live demos of using ChatGPT for red team tasks such as scanning for SMB vulnerabilities with Nmap, generating PHP reverse shells, fuzzing with Gobuster, producing shellcode, crafting phishing emails, creating macros, and identifying buffer overflow vulnerabilities. He also shows blue team applications, including writing ELK queries to detect registry changes, creating Splunk regexes to filter IP addresses, and using ChatGPT to review and fix vulnerable PHP code. The video emphasizes ChatGPT’s conversational interface, ability to handle follow-up questions, and its potential to accelerate learning and productivity. The creator concludes by addressing concerns about AI replacing cybersecurity professionals, arguing that while ChatGPT is a powerful tool, it does not replace human expertise and institutional knowledge. He also notes his excitement about the technology and hints at future videos exploring additional applications.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video delivers high practical value by showcasing concrete, executable examples that viewers can immediately replicate. The demonstrations are well-structured, clearly explaining each command or code snippet and its purpose. The argumentation is solid: the creator supports his claims by directly showing ChatGPT’s outputs, and he acknowledges limitations such as the lack of source citations and the need for user verification. His reasoning about ChatGPT’s impact on cybersecurity is measured and evidence-based, drawing on his experience as a professional. The video effectively argues that ChatGPT augments rather than replaces cybersecurity practitioners, reinforcing his point with demonstrations of how it can assist both offensive and defensive tasks.

Scientific Rigor, Source Quality, Title Accuracy

The video’s scientific rigor is moderate. It relies on live demonstrations and the creator’s personal expertise rather than peer-reviewed literature or external citations. The only direct source referenced is the OpenAI ChatGPT website, which is appropriate given the topic. The title accurately reflects the content, and the video is well-organized with clear segments. The creator does not misrepresent capabilities, and he explicitly advises viewers to verify outputs, which demonstrates responsible communication. Overall, the source quality is acceptable for a tutorial format, though it lacks formal references.

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Title / Content Match

The title accurately reflects the video's content, which covers multiple use cases of ChatGPT in both red team and blue team cybersecurity contexts.

Quality & Reliability

8/10

The video provides clear, practical demonstrations of using ChatGPT for various cybersecurity tasks, with accurate technical examples including commands, code snippets, and explanations. The creator is an experienced cybersecurity professional, and the content is presented in a structured manner. However, it relies solely on personal exploration and lacks external citations or peer-reviewed sources, preventing a higher score.

Chapters

Cited Sources

  • OpenAI ChatGPT — The official ChatGPT platform demonstrated throughout the video, where the creator logs in and interacts with the chatbot.
  • Intigriti Bug Bounty Platform — Mentioned as a partner link in the description, relevant for ethical hacking and bug bounty activities.
  • Spotify Podcast — Link to the CyberTalk podcast on Spotify, mentioned in the description as a supplementary resource.
  • Apple Podcasts — Link to the CyberTalk podcast on Apple Podcasts, mentioned in the description.

Contribution & Novelties

This video provides a timely, hands-on exploration of using ChatGPT for cybersecurity, illustrating both offensive and defensive workflows. Its main contribution is to demystify how a general-purpose AI assistant can be effectively leveraged for tasks like reconnaissance, exploitation, and detection, while highlighting practical limitations. The creator also offers a balanced perspective on the technology’s potential impact on the cybersecurity industry, contributing to the ongoing discourse on AI’s role in professional practice.

Pour aller plus loin :

  • Reinforcement Learning from Human Feedback — The core training method behind ChatGPT, relevant for understanding its behavior and limitations.
  • ChatGPT — Background information on the model, its development, and public reception.
  • Penetration Testing — The practice of simulating attacks to assess security, directly related to the red team examples shown.

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Radar Profile

The scores indicate a well-rounded tutorial with strong practical content (quantité 8) and clear presentation (qualité 8). The technical level is moderate (7), making it accessible to a broad audience while still offering value to practitioners. The high fiabilité (8) reflects the creator's expertise and the accuracy of the demonstrations, though the lack of external sources prevents a perfect score.

Reliability 8/10

💬 Très positif — Sur les 30 commentaires analysés, le climat est très positif, les spectateurs saluent la clarté du tutoriel et l'enthousiasme autour des capacités de ChatGPT, avec quelques discussions sur son impact professionnel.