ネットスコープは、2022年Gartner®社のセキュリティ・サービス・エッジ(SSE)のマジック・クアドラントでリーダーの1社と位置付けられました。レポートを読む

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ネットスコープ、2022年Gartner社のセキュリティ・サービス・エッジ(SSE)のマジック・クアドラントでリーダーの1社と位置付けられる

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Netskope Gartner マジック・クアドラント 2022 SSEリーダー

Gartner® Quick Answer:NetskopeのInfiot買収はSD-WAN、SASE、SSEプロジェクトにどのような影響を与えますか?

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クイックアンサー:NetskopeによるInfiotの買収は、SD-WAN、SASE、SSEプロジェクトにどのように影響しますか?

Netskope は、データと脅威の保護、および安全なプライベートアクセスを実現するための機能を統合した、最新のクラウドセキュリティスタックを提供します。

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  • 変身

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  • セキュリティの近代化

    今日と明日のセキュリティの課題に対応します。

  • フレームワーク

    サイバーセキュリティを形作る規制の枠組みを採用する。

  • 業界ソリューション

    Netskopeは、クラウドに安全に移行するためのプロセスを世界最大規模の企業に提供しています。

最小の遅延と高い信頼性を備えた、市場をリードするクラウドセキュリティサービスに移行します。

詳しくはこちら
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シングルパスSSEフレームワークを使用して、他のセキュリティソリューションを回避することが多い脅威を防止します。

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SSEおよびSASE展開のためのゼロトラストソリューション

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Netskopeの有能で経験豊富なプロフェッショナルサービスチームは、実装を成功させるための規範的なアプローチを提供します。

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セキュリティビジョナリーポッドキャスト

Episode 18: Fostering Relationships for Security Awareness

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Netskopeがセキュリティサービスエッジ(SSE)機能を介してゼロトラストおよびSASEジャーニーを実現する方法に関する最新情報をお読みください。

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SASE Week

Netskope is positioned to help you begin your journey and discover where Security, Networking, and Zero Trust fit in the SASE world.

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SASE Week

セキュリティサービスエッジとは何ですか?

SASEのセキュリティ面、ネットワークとクラウドでの保護の未来を探ります。

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  • 会社概要

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    クラウドの変革とどこからでも機能することで、セキュリティの機能方法が変わりました。

  • リーダーシップ

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Netskopeは仕事の未来を可能にします。

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Netskopeは、組織がゼロトラストの原則を適用してデータを保護できるように、クラウド、データ、およびネットワークのセキュリティを再定義しています。

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Switchback road atop a cliffside

思想家、建築家、夢想家、革新者。 一緒に、私たちはお客様がデータと人々を保護するのを助けるために最先端のクラウドセキュリティソリューションを提供します。

当社のチーム紹介
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Netskopeのパートナー中心の市場開拓戦略により、パートナーは企業のセキュリティを変革しながら、成長と収益性を最大化できます。

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ChatGPT: Dispelling FUD, Driving Awareness About Real Threats

Jan 20 2023

Summary

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.

Conclusions

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.