Oct 14 2023

HackerGPT: A ChatGPT Empowered Penetration Testing Tool

Category: ChatGPT,Hacking — disc7 @ 4:59 pm
HackerGPT: A ChatGPT Empowered Penetration Testing Tool

HackerGPT is a ChatGPT-enabled penetrating testing tool that can help with network hacking, mobile hacking, different hacking tactics, and other specific tasks.

The main foundation of HackerGPT is the training data that has been offered. It does not use a jailbreak technique. Particularly, it generates replies using ChatGPT with a specified request while conforming to ethical rules.

Obtaining a 14-day trial is an option available. With this trial, you get access to GPT-4, an unlimited amount of messages for HackerGPT, quicker answers, and other advantages.

“No logs, no cost, anonymous login. Trained on a ton of hacking reports”, the company said.

“HackerGPT is only available in your web browser. Making it into an app will take some time, but with your feedback, we can make progress faster”.

Responses of HackerGPT

For instance, what if we asked HackerGPT to provide a step-by-step tutorial on conducting ARP spoofing? 

Threat Sentry Security, the Cyber Security Analyst, said, “Hacker-GPT. This is a pentester dream, my job just became 100 times easier. I told it to create an XSS payload & it did it without hesitation”.

https://twitter.com/thehackergpt/status/1710744412932698151?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1710744412932698151%7Ctwgr%5E8bcab3fa288fb6ab273c757b4583ff1d7199dda5%7Ctwcon%5Es1_&ref_url=https%3A%2F%2Fcybersecuritynews.com%2Fhackergpt%2F

According to users, HackerGPT is provided with numerous bug bounty reports and might be helpful to you in your job. A big-time saver.

It utilizes GPT-3 and GPT-4 and is aware of most attack routes and methodologies.

As of this writing, the company provides the users with the following:

  • Plus, the subscription is now at HALF the price!
  • Free users: 1.5x more messages with HackerGPT.
  • Plus users: 2.5x more messages with GPT4.
  • Plus bonus: Unlimited messages with HackerGPT.

Ethical hacking may use this tool to improve security evaluation and mitigation elements. The difficulty of communicating complicated technological results to both technical and non-technical audiences is a problem ethical hackers frequently face. 

ChatGPT’s capacity to produce logical and understandable explanations may make the communication of vulnerabilities simpler, hence facilitating organizations’ comprehension of possible risks and the adoption of the necessary countermeasures.

A Hacker’s Mind: How the Powerful Bend Society’s Rules, and How to Bend them Back

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Jul 16 2023

ChatGPT Reconnaissance Techniques for Penetration Testing Success

Category: ChatGPT,Pen Test — disc7 @ 12:42 pm
ChatGPT Reconnaissance Techniques for Penetration Testing Success

ChatGPT is one of the biggest and most sophisticated language models ever made, with a massive neural network of over 175 billion parameters.

Recent research has revealed how ChatGPT for penetration testing can enable testers to achieve greater success.

ChatGPT was launched by OpenAI in November 2022, causing significant disruption in the AI/ML community.

Sophisticated email attacks are on the rise, thanks to threat actors leveraging the power of Artificial Intelligence.

However, researchers are staying one step ahead by utilizing ChatGPT for threat analysis and penetration testing.

A recently published research paper by Sheetal Tamara from the University of the Cumberlands highlights the effective use of ChatGPT in Reconnaissance.

Recently an automated penetration testing tool PentestGPT released;

PentestGPT – A ChatGPT Powered Automated Penetration Testing Tool

ChatGPT For Penetration Testing

The ChatGPT can be used in the initial reconnaissance phase, where the penetration tester is collection detailed data about the scope of assessment.

With the help of ChatGPT, pen-testers able to obtain reconnaissance data such as Internet Protocol (IP) address ranges, domain names, network topology, vendor technologies, SSL/TLS ciphers, ports & services, and operating systems.

This research highlights how artificial intelligence language models can be used in cybersecurity and contributes to advancing penetration testing techniques.

Pentesters can obtain the organization’s IP address using the prompt (“What IP address range related information do you have on [insert organization name here] in your knowledge base?”).

This prompt would deliver the possible IP addresses used by the organization.

“What type of domain name information can you gather on [insert target website here]?”

ChatGPT could provide the list of domain names used by the organization, such as primary domains, subdomains, other domains, international domains, generic top-level domains (gTLDs), and subsidiary domains.

“What vendor technologies does [insert target website fqdn here] make use of on its website?”

Answering this question, ChatGPT will provide various technologies, such as content delivery networks (CDNs), web servers, advertising engines, analytics engines, customer relationship management (CRM), and other technologies organizations use.

“Provide a comprehensive list of SSL ciphers based on your research used by [insert target website fqdn] in pursuant to your large corpus of text data present in your knowledge base.”

ChatGPT could provide the ciphers, SSL/TLS versions, and types of TLS certificates used, also, with this question, ChatGPT above to check the encryption standard used.

“Please list the partner websites including FQDN based on your research that [insert target website here] has direct links to according to your knowledge base.”

In response to the question, ChatGPT is able to provide a list of partner websites that are directly linked.

“Provide a vendor technology stack based on your research that is used by [insert organization name here].“

This prompt would extract the include application server type, database type, operating systems, big data technologies, logging and monitoring software, and other infrastructure-related information specific to the organization.

“Provide a list of network protocols related information that is available on [insert organization name here].”

ChatGPT will return a list of network protocols the target organization uses, including HTTPS, SMTP, NTP, SSH, SNMP, and others.

The research determined that “ChatGPT has the ability to provide valuable insight into the deployment of the target organization’s technology stack as well as specific information about web applications deployed by the target organization,” reads the paper published.

“The research performed on ChatGPT required trial and error in the prompting as certain requests can either be outright rejected or may result in responses that do not contain usable data for the reconnaissance phase of a penetration test.”

Mastering Cybersecurity with ChatGPT: Harnessing AI to Empower Your Cyber CareerTable of Contents:

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Tags: AIPenetration Testing, ChatGPT, Cybersecurity with ChatGPT, Reconnaissance Techniques

Apr 05 2023

HOW TO CREATE UNDETECTABLE MALWARE VIA CHATGPT IN 7 EASY STEPS BYPASSING ITS RESTRICTIONS

Category: AI,ChatGPT,Malware — DISC @ 9:35 am
How to create undetectable malware via ChatGPT in 7 easy steps bypassing its restrictions

There is evidence that ChatGPT has helped low-skill hackers generate malware, which raises worries about the technology being abused by cybercriminals. ChatGPT cannot yet replace expert threat actors, but security researchers claim there is evidence that it can assist low-skill hackers create malware.

Since the introduction of ChatGPT in November, the OpenAI chatbot has assisted over 100 million users, or around 13 million people each day, in the process of generating text, music, poetry, tales, and plays in response to specific requests. In addition to that, it may provide answers to exam questions and even build code for software.

It appears that malicious intent follows strong technology, particularly when such technology is accessible to the general people. There is evidence on the dark web that individuals have used ChatGPT for the development of dangerous material despite the anti-abuse constraints that were supposed to prevent illegitimate requests. This was something that experts feared would happen. Because of this, experts from forcepoint came to the conclusion that it would be best for them not to create any code at all and instead rely on only the most cutting-edge methods, such as steganography, which were previously exclusively used by nation-state adversaries.

The demonstration of the following two points was the overarching goal of this exercise:

  1. How simple it is to get around the inadequate barriers that ChatGPT has installed.
  2. How simple it is to create sophisticated malware without having to write any code and relying simply on ChatGPT

Initially ChatGPT informed him that malware creation is immoral and refused to provide code.

  1. To avoid this, he generated small codes and manually assembled the executable.  The first successful task was to produce code that looked for a local PNG greater than 5MB. The design choice was that a 5MB PNG could readily hold a piece of a business-sensitive PDF or DOCX.

 2. Then asked ChatGPT to add some code that will encode the found png with steganography and would exfiltrate these files from computer, he asked ChatGPT for code that searches the User’s Documents, Desktop, and AppData directories then uploads them to google drive.

3. Then he asked ChatGPT to combine these pices of code and modify it to to divide files into many “chunks” for quiet exfiltration using steganography.

4. Then he submitted the MVP to VirusTotal and five vendors marked the file as malicious out of sixty nine.

5. This next step was to ask ChatGPT to create its own LSB Steganography method in my program without using the external library. And to postpone the effective start by two minutes.https://www.securitynewspaper.com/2023/01/20/this-new-android-malware-allows-to-hack-spy-on-any-android-phone/embed/#?secret=nN5212UQrX#?secret=8AnjYiGI6e

6. The another change he asked ChatGPT to make was to obfuscate the code which was rejected. Once ChatGPT rejected hisrequest, he tried again. By altering his request from obfuscating the code to converting all variables to random English first and last names, ChatGPT cheerfully cooperated. As an extra test, he disguised the request to obfuscate to protect the code’s intellectual property. Again, it supplied sample code that obscured variable names and recommended Go modules to construct completely obfuscated code.

7. In next step he uploaded the file to virus total to check

And there we have it; the Zero Day has finally arrived. They were able to construct a very sophisticated attack in a matter of hours by only following the suggestions that were provided by ChatGPT. This required no coding on our part. We would guess that it would take a team of five to ten malware developers a few weeks to do the same amount of work without the assistance of an AI-based chatbot, particularly if they wanted to avoid detection from all detection-based suppliers.

ChatGPT for Startups

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Mar 20 2023

Most security pros turn to unauthorized AI tools at work

Category: AI,ChatGPT — DISC @ 10:52 am
Most security pros turn to unauthorized AI tools at work

The research demonstrates that embracing automation in cybersecurity leads to significant business benefits, such as addressing talent gaps and effectively combating cyber threats. According to the survey, organizations will continue investing in cybersecurity automation in 2023, even amid economic turbulence.

“As organizations look for long-term solutions to keep pace with increasingly complex cyberattacks, they need technologies that will automate time-consuming, repetitive tasks so security teams have the bandwidth to focus on the threats that matter most,” said Marc van Zadelhoff, CEO, Devo. “This report confirms what we’re already hearing from Devo customers: adopting automation in the SOC results in happier analysts, boosted business results, and more secure organizations.”

Security pros are using AI tools without authorization

According to the study, security pros suspect their organization would stop them from using unauthorized AI tools, but that’s not stopping them.

  • 96% of security pros admit to someone at their organization using AI tools not provided by their company – including 80% who cop to using such tools themselves.
  • 97% of security pros believe their organizations are able to identify their use of unauthorized AI tools, and more than 3 in 4 (78%) suspect their organization would put a stop to it if discovered.

Adoption of automation in the SOC

Organizations fail to adopt automation effectively, forcing security pros to use rogue AI tools to keep up with workloads.

  • 96% of security professionals are not fully satisfied with their organization’s use of automation in the SOC.
  • Reasons for dissatisfaction with SOC automation varied from technological concerns such as the limited scalability and flexibility of the available solutions (42%) to financial ones such as the high costs associated with implementation and maintenance (39%). But for many, concerns go back to people: 34% cite a lack of internal expertise and resources to manage the solution as a reason they are not satisfied.
  • Respondents indicated that they would opt for unauthorized tools due to the better user interface (47%), more specialized capabilities (46%), and allow for more efficient work (44%).

Investing in cybersecurity automation

Security teams will prioritize investments in cybersecurity automation in 2023 to solve organizational challenges, despite economic turbulence and widespread organizational cost-cutting.

  • 80% of security professionals predict an increase in cybersecurity automation investments in the coming year, including 55% who predict an increase of more than 5%.
  • 100% of security professionals reported positive business impacts as a result of using automation in cybersecurity, citing increased efficiency (70%) and financial gains (65%) as primary benefits.

Automation fills widening talent gaps

Adopting automation in the SOC helps organizations combat security staffing shortages in a variety of ways.

  • 100% of respondents agreed that automation would be helpful to fill staffing gaps in their team.
  • Incident analysis (54%), landscape analysis of applications and data sources (54%), and threat detection and response (53%) were the most common ways respondents said automation could make up for staffing shortages.

AI

A Guide to Combining AI Tools Like Chat GPT, Quillbot, and Midjourney for Crafting Killer Fiction and Nonfiction (Artificial Intelligence Uses & Applications)

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Mar 19 2023

Researcher create polymorphic Blackmamba malware with ChatGPT

Category: AI,ChatGPT — DISC @ 3:44 pm
Researcher create polymorphic Blackmamba malware with ChatGPT

The ChatGPT-powered Blackmamba malware works as a keylogger, with the ability to send stolen credentials through Microsoft Teams.

The malware can target Windows, macOS and Linux devices.

HYAS Institute researcher and cybersecurity expert, Jeff Sims, has developed a new type of ChatGPT-powered malware named Blackmamba, which can bypass Endpoint Detection and Response (EDR) filters.

black mamba snake coiled up

This should not come as a surprise, as in January of this year, cybersecurity researchers at CyberArk also reported on how ChatGPT could be used to develop polymorphic malware. During their investigation, the researchers were able to create the polymorphic malware by bypassing the content filters in ChatGPT, using an authoritative tone.

As per the HYAS Institute’s report (PDF), the malware can gather sensitive data such as usernames, debit/credit card numbers, passwords, and other confidential data entered by a user into their device.

ChatGPT Powered Blackmamba Malware Can Bypass EDR Filters

Once it captures the data, Blackmamba employs MS Teams webhook to transfer it to the attacker’s Teams channel, where it is “analyzed, sold on the dark web, or used for other nefarious purposes,” according to the report.

Jeff used MS Teams because it enabled him to gain access to an organization’s internal sources. Since it is connected to many other vital tools like Slack, identifying valuable targets may be more manageable.

Jeff created a polymorphic keylogger, powered by the AI-based ChatGPT, that can modify the malware randomly by examining the user’s input, leveraging the chatbot’s language capabilities.

The researcher was able to produce the keylogger in Python 3 and create a unique Python script by running the python exec() function every time the chatbot was summoned. This means that whenever ChatGPT/text-DaVinci-003 is invoked, it writes a unique Python script for the keylogger.

This made the malware polymorphic and undetectable by EDRs. Attackers can use ChatGPT to modify the code to make it more elusive. They can even develop programs that malware/ransomware developers can use to launch attacks.

ChatGPT Powered Blackmamba Malware Can Bypass EDR Filters
Researcher’s discussion with ChatGPT

Jeff made the malware shareable and portable by employing auto-py-to-exe, a free, open-source utility. This can convert Python code into .exe files that can operate on various devices, such as macOS, Windows, and Linux systems. Additionally, the malware can be shared within the targeted environment through social engineering or email.

It is clear that as ChatGPT’s machine learning capabilities advance, such threats will continue to emerge and may become more sophisticated and challenging to detect over time. Automated security controls are not infallible, so organizations must remain proactive in developing and implementing their cybersecurity strategies to protect against such threats.

What is Polymorphic malware?

Polymorphic malware is a type of malicious software that changes its code and appearance every time it replicates or infects a new system. This makes it difficult to detect and analyze by traditional signature-based antivirus software because the malware appears different each time it infects a system, even though it performs the same malicious functions.

Polymorphic malware typically achieves its goal by using various obfuscation techniques such as encryption, code modification, and different compression methods. The malware can also mutate in real time by generating new code and unique signatures to evade detection by security software.

The use of polymorphic malware has become more common in recent years as cybercriminals seek new and innovative ways to bypass traditional security measures. The ability to morph and change its code makes it difficult for security researchers to develop effective security measures to prevent attacks, making it a significant threat to organizations and individuals alike.

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AI-Powered ‘BlackMamba’ Keylogging Attack Evades Modern EDR Security

BlackMamba GPT POC Malware In Action

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Tags: ChatGPT