Netskope es nombrado líder en el Cuadrante Mágico™ de Gartner 2022 para Security Service Edge. Obtenga el informe

  • Servicio de seguridad Productos Edge

    Protéjase contra las amenazas avanzadas y en la nube y salvaguarde los datos en todos los vectores.

  • Borderless SD-WAN

    Proporcione con confianza un acceso seguro y de alto rendimiento a cada usuario remoto, dispositivo, sitio y nube.

  • Plataforma

    Visibilidad inigualable y protección contra amenazas y datos en tiempo real en la nube privada de seguridad más grande del mundo.

Netskope ha sido nombrado Líder en el Informe del Cuadrante Mágico de Gartner™ 2022 en SSE

Obtenga el informe Todos los productos
Líder SSE Netskope gartner mq 2022

Respuesta rápida de Gartner®: ¿Cómo afecta la adquisición de Netskope a los proyectos SD-WAN, SASE y SSE?

Obtenga el informe
Respuesta rápida: ¿Cómo afecta la adquisición de Infiot por parte de Netskope a los proyectos SD-WAN, SASE y SSE?

Netskope ofrece una estrategia de seguridad cloud moderna, con capacidades unificadas para los datos y protección frente a amenazas, además de un acceso privado seguro.

Explora nuestra plataforma
Vista aérea de una ciudad metropolitana

Cambie a los servicios de seguridad en la nube líderes del mercado con una latencia mínima y una alta fiabilidad.

Más información
Lighted highway through mountainside switchbacks

Prevenga las amenazas que a menudo eluden otras soluciones de seguridad utilizando un marco SSE de un solo paso.

Más información
Lighting storm over metropolitan area

Soluciones de confianza cero para implementaciones de SSE y SASE

Más información
Boat driving through open sea

Netskope hace posible un proceso seguro, rápido y con inteligencia cloud para la adopción de los servicios en la nube, las aplicaciones y la infraestructura de nube pública.

Más información
Wind turbines along cliffside
  • Nuestros clientes

    Netskope da servicio a más de 2.000 clientes en todo el mundo, entre los que se encuentran más de 25 de las 100 empresas de Fortune

  • Soluciones para clientes

    Le apoyamos en cada paso del camino, garantizando su éxito con Netskope.

  • Formación y certificación

    La formación de Netskope le ayudará a convertirse en un experto en seguridad en la nube.

Ayudamos a nuestros clientes a estar preparados para cualquier situación

Ver nuestros clientes
Woman smiling with glasses looking out window

El talentoso y experimentado equipo de servicios profesionales de Netskope proporciona un enfoque prescriptivo para su exitosa implementación.

Más información
Netskope Professional Services

Asegure su viaje de transformación digital y aproveche al máximo sus aplicaciones en la nube, web y privadas con la capacitación de Netskope.

Más información
Group of young professionals working
  • Recursos

    Obtenga más información sobre cómo Netskope puede ayudarle a proteger su viaje hacia la nube.

  • Blog

    Descubra cómo Netskope permite la transformación de la seguridad y las redes a través del servicio de seguridad (SSE).

  • Eventos & Workshops

    Manténgase a la vanguardia de las últimas tendencias de seguridad y conéctese con sus pares.

  • Seguridad definida

    Todo lo que necesitas saber en nuestra enciclopedia de ciberseguridad.

Podcast Security Visionaries

Episode 18: Fostering Relationships for Security Awareness

Reproducir el pódcast
Black man sitting in conference meeting

Lea lo último sobre cómo Netskope puede hacer posible el viaje de confianza cero y SASE a través de las capacidades de SSE.

Lea el blog
Sunrise and cloudy sky

Semana SASE

Netskope puede ayudarle a dar los primeros pasos en el mundo SASE y a descubrir qué papel desempeñan en él la seguridad, las conexiones de red y Zero Trust.

Más información
Semana SASE

¿Qué es Security Service Edge (SSE)?

Explore el lado de la seguridad de SASE, el futuro de la red y la protección en la nube.

Más información
Four-way roundabout
  • Empresa

    Le ayudamos a mantenerse a la vanguardia de los desafíos de seguridad de la nube, los datos y la red.

  • Por qué Netskope

    La transformación de la nube y el trabajo desde cualquier lugar han cambiado la forma en que debe funcionar la seguridad.

  • Liderazgo

    Nuestro equipo de liderazgo está firmemente comprometido a hacer todo lo necesario para que nuestros clientes tengan éxito.

  • Partners

    Nos asociamos con líderes en seguridad para ayudarlo a asegurar su viaje a la nube.

Netskope posibilita el futuro del trabajo.

Descubra más
Curvy road through wooded area

Netskope está redefiniendo la seguridad de la nube, los datos y la red para ayudar a las organizaciones a aplicar los principios de Zero Trust para proteger los datos.

Más información
Switchback road atop a cliffside

Pensadores, constructores, soñadores, innovadores. Juntos, ofrecemos soluciones de seguridad en la nube de vanguardia para ayudar a nuestros clientes a proteger sus datos y usuarios.

Conozca a nuestro equipo
Group of hikers scaling a snowy mountain

La estrategia de venta centrada en el partner de Netskope permite a nuestros canales maximizar su expansión y rentabilidad y, al mismo tiempo, transformar la seguridad de su empresa.

Más información
Group of diverse young professionals smiling

ChatGPT: Dispelling FUD, Driving Awareness About Real Threats

Jan 20 2023

Resumen

ChatGPT is an artificial intelligence chatbot created by OpenAI, reaching 1 million users at the end of 2022. It is able to generate fluent responses given specific inputs. It is a variant of the GPT (Generative Pre-trained Transformer) model and, according to OpenAI, it was trained by mixing Reinforcement Learning from Human Feedback (RLHF) and InstructGPT datasets. Due to its flexibility and ability to mimic human behavior, ChatGPT has raised concerns in several areas, including cybersecurity.

Its popularity has grown specially because it provides fluent responses to questions about virtually any subject, including history, math, literature, and technology.

Asking ChatGPT what is its purpose.

The chatbot is also a great tool for developers, able to create, review, improve, and explain code in multiple languages, such as C++, Java, Python, Go, and Rust. It also provides an API that can be used by plugins in different platforms such as Slack, Microsoft Teams, and IDEs like VS Code.

And what happens if someone asks ChatGPT to create malware or ransomware? No need to panic right now, as ChatGPT will not create novel, functional malware automatically. But it can still be abused by attackers to improve social engineering skills or to understand and build common malware components.

For social engineering, it can generate novel, fluent bait messages. For malware, it can serve as an interactive interface into the many malware tutorials and examples that already exist on the internet, but it still requires a certain knowledge from the person to use this tool to create a functional malware.

There is also good news for cybersecurity defenders. ChatGPT has also been trained on examples of common code vulnerabilities and can pick them out when you share the source code with ChatGPT. So, like many inventions, ChatGPT can be used for both good and evil. Here’s a closer look at how:

Malware Development

Can ChatGPT automatically create novel, functional malware? The short answer is no, but, the tool can be used by attackers to aid in the malware development process, especially by those without experience.

The first use case is to use it to learn and get code examples about malicious techniques. For example, we asked ChatGPT to explain details about a common process injection technique named Process Hollowing.

ChatGPT explaining what Process Hollowing is.

The answer was quite precise and included an example in C++, which could be easily modified to embed this functionality to a malware.

We asked more questions about specific techniques that could be incorporated into malware, such as downloading and executing files from remote URLs or how to encrypt a file using AES on Windows, and the chatbot was able to generate and explain all of them.

ChatGPT showing a C++ code that encrypts a file using AES

However, during our tests, we found that ChatGPT generated incomplete codes for questions that add a certain level of complexity. For example, the AI wasn’t able to provide us with the entire code for a program that searches for files on Windows and encrypts them using a combination of symmetric and asymmetric encryption, which is a behavior that could be used to create ransomware.

Incomplete code generated by ChatGPT.

The AI is also able to identify malicious intent depending on how the question is asked. For example, we failed in obtaining a single code that downloads a base64 encoded executable and executes it using process hollowing.

ChatGPT telling us that it cannot create the code we asked for.

But although the code wasn’t generated in a single answer, nothing stops the attacker from splitting the question by:

  1. Asking for a code example on how to download base64 encoded files;
  2. Asking for an example of Process Hollowing technique;
  3. Combine both answers to perform process injection with the downloaded file.
Code created by ChatGPT that downloads a base64 encoded file from an external URL.

Therefore, ChatGPT won’t create a novel or a complete malware for someone, but it can indeed be used as a resource to study and create snippets of code that when combined could be used to create a functional malware.

Social Engineering

Attackers can use ChatGPT to improve their social engineering skills. It can help to write specific texts that would be used on phishing emails, redirecting victims to malicious websites or luring them into downloading attached malware. 

For example, we asked ChatGPT to write an email that makes it look like the person just won $100,000 in a lottery named “BigMoney.” We specifically asked ChatGPT to randomly generate the ticket number and to convince the person to open a link that will supposedly claim the prize.

The text generated by the AI could be easily employed in phishing emails to redirect people to a website that attempts to steal sensitive information, such as email accounts and passwords.

Email generated by ChatGPT that tells a person won in the lottery.

Another example is spear phishing. With previous knowledge about the target, an attacker can provide details about the victim to ChatGPT and ask help to generate a text that convinces the person to open an attached file.

To exemplify this, we asked ChatGPT to generate an email from a person named Ruth to another person named Glenn, asking help on a fictional project. The project details would be attached in the email, which could be a weaponized file created by the attacker.

Email generated by ChatGPT that could be used in spear phishing attacks.

Attackers could also abuse ChatGPT to create fake news, luring victims to a website that steals sensitive data, such as email or bank accounts. As an example, we asked the AI to generate an email that contains fake news about the California government providing $5,000 to COVID-19 victims.

Text generated by ChatGPT that contains fake news to support a phishing email.

These examples demonstrate that ChatGPT has the potential to significantly decrease the barrier of entry for cybercriminals in building their social engineering attacks.

Benefits for Cybersecurity

ChatGPT is not only useful for attackers, but it can also be a valuable tool for defenders, who can use the tool to spot vulnerabilities in code or assess security posture to improve defenses overall.

For example, we shared a piece of Python code with ChatGPT that contains a SQL injection vulnerability, and the AI was able to spot the problem, explain why it happens, and also provided suggestions to fix the code.

ChatGPT spotting an SQL injection vulnerability.

However, by sharing pieces of code with ChatGPT, users could very easily and unintentionally leak personal or corporate information, which could eventually harm organizations. This is even something that is advised by the platform once an account is created. We do not recommend submitting any confidential code to ChatGPT for analysis.

ChatGPT advises to not share sensitive information in the conversations.

Conclusiones

The availability of an AI tool able to mimic human behavior and provide coding knowledge increases cybersecurity risks for organizations, as it can be used by attackers to enhance social engineering attacks and create components to aid malware development. 

It is common for novices to create new malware by copying existing code instead of writing it from scratch, which at this point is likely a faster path than circumventing ChatGPT’s security measures and having to grab pieces of code that need to be adjusted and combined to create functional malware.

However, new attack vectors and malware families that we may see developed with ChatGPT’s help, or any upcoming AI, can largely be addressed by maintaining an effective security posture. This includes keeping software patched and up-to-date, maintaining effective data protection policies and technologies, and equipping the organization’s most valuable assets with additional security software such as an EDR (endpoint detection and response) and a secure web gateway solution. 

For social engineering attacks that may emerge with the AI’s help, it’s important for organizations to rebuild the ‘human firewall’, training employees and customers to spot the small clues, such as misplaced details in phishing emails, and to always verify the identity of the person they are talking to.

As we demonstrated, ChatGPT is not only a tool that can be used by attackers, but it can also be used in favor of developers and security professionals to spot code vulnerabilities and assess security posture. Also, having a better understanding of how attackers could potentially abuse this tool can help security teams to be better protected. Last but not least, the chatbot is still under development, so we should expect more robust security measures from OpenAI to prevent abuse of the tool.

author image
Gustavo Palazolo
Gustavo Palazolo is an expert in malware analysis, reverse engineering and security research, working many years in projects related to electronic fraud protection. He is currently working on the Netskope Research Team, discovering and analyzing new malware threats.