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The macOS information stealer known as Atomic is now being delivered to target via a bogus web browser update chain tracked as ClearFake. "This may very well be the first time we see one of the main social engineering campaigns, previously reserved for Windows, branch out not only in terms of geolocation but also operating system," Malwarebytes' Jérôme Segura  said  in a Tuesday analysis. Atomic Stealer (aka AMOS),  first documented  in April 2023, is a commercial stealer malware family that's sold on a subscription basis for $1,000 per month. It comes with capabilities to siphon data from web browsers and cryptocurrency wallets. Then in September 2023, Malwarebytes  detailed  an Atomic Stealer campaign that took advantage of malicious Google ads, tricking macOS users searching for a financial charting platform known as TradingView into downloading the malware. ClearFake, on the other hand, is a nascent malware distribution operation that employs compromised Wor

Phishing attacks are steadily becoming more sophisticated, with cybercriminals investing in new ways of deceiving victims into revealing sensitive information or installing malicious software. One of the latest trends in phishing is the use of QR codes, CAPTCHAs, and steganography. See how they are carried out and learn to detect them. Quishing Quishing, a phishing technique resulting from the combination of "QR" and "phishing," has become a popular weapon for cybercriminals in 2023. By concealing malicious links within QR codes, attackers can evade traditional spam filters, which are primarily geared towards identifying text-based phishing attempts. The inability of many security tools to decipher the content of QR codes further makes this method a go-to choice for cybercriminals. An email containing a QR code with a malicious link Analyzing a QR code with an embedded malicious link in a safe environment is easy with  ANY.RUN : Simply open  this task  in th

Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security Risks Like the  SaaS shadow IT  of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI  with little regard for established IT and cybersecurity review procedures. Considering  ChatGPT's meteoric rise to 100 million users within 60 days of launch , especially with little sales and marketing fanfare, employee-driven demand for AI tools will only escalate.  As new studies show  some workers boost productivity by 40% using generative AI , the pressure for CISOs and their teams to fast-track AI adoption — and turn a blind eye to unsanctioned AI tool usage — is intensifying.  But succumbing to these pressures can introduce serious SaaS data leakage and breach risks, particularly as employees flock to AI tools developed by small businesses, solopreneurs, and indie developers. AI Security Guide Download AppOmni's CISO Guide to AI Security - Part 1 AI evoke

Cybersecurity researchers have warned about a Windows version of a wiper malware that was previously observed targeting Linux systems in cyber attacks aimed at Israel. Dubbed  BiBi-Windows Wiper  by BlackBerry, the wiper is the Windows counterpart of  BiBi-Linux Wiper , which has been put to use by a pro-Hamas hacktivist group in the wake of the Israel-Hamas war last month. "The Windows variant [...] confirms that the threat actors who created the wiper are continuing to build out the malware, and indicates an expansion of the attack to target end user machines and application servers," the Canadian company  said  Friday. Slovak cybersecurity firm ESET is  tracking  the actor behind the wiper under the name BiBiGun, noting that the Windows variant (bibi.exe) is designed to overwrite data in the C:\Users directory recursively with junk data and append ".BiBi" to the filename. The BiBi-Windows Wiper artifact is said to have been compiled on October 21, 2023, two

XWorm is a relatively new representative of the remote access trojan cohort that has already earned its spot among the most persistent threats across the globe.  Since 2022, when it was first observed by researchers, it has undergone a number of major updates that have significantly enhanced its functionality and solidified its staying power.  The analyst team at  ANY.RUN  came across the newest version of the malware and could not refuse the opportunity of taking it apart to examine XWorm mechanics configurations. Here is how they did it and what they found.  The XWorm sample's source  The sample in question was discovered in ANY. RUN's database of malware, a repository containing detailed analysis reports on all files and links that have been uploaded by users of the sandbox in public mode.  A quick look at the results of the analysis revealed that the sample was initially distributed via MediaFire, a file-hosting service. The malware was packaged in a RAR archive and p

However, manual lab setup and configuration can prove to be a laborious and time-consuming process. In this article, we'll look at 4 ways to create a reverse engineering lab, discuss how to save time, and, potentially, improve the detection rate using a  sandbox-as-a-service , and a recommended list of tools for a comprehensive setup. What is a malware analysis lab? In essence, a malware analysis lab provides a safe, isolated space for examining malware. The setup can range from a straightforward virtual machine using VirtualBox to a more intricate network of interconnected machines and actual networking hardware. But in this article, we'll look at building a lab tailored for static analysis, so what we will need is a secure environment where we can run disassemblers, edit binary files and debug. There are a couple of ways we can go about creating it: 1 — Virtualization Perhaps the simplest way to create a secure and isolated environment is by using a virtual machine.

Unknown malware presents a significant cybersecurity threat and can cause serious damage to organizations and individuals alike. When left undetected, malicious code can gain access to confidential information, corrupt data, and allow attackers to gain control of systems. Find out how to avoid these circumstances and detect unknown malicious behavior efficiently.  Challenges of new threats' detection While known malware families are more predictable and can be detected more easily, unknown threats can take on a variety of forms, causing a bunch of challenges for their detection: Malware developers use polymorphism, which enables them to modify the malicious code to generate unique variants of the same malware.  There is malware that is still not identified and doesn't have any rulesets for detection. Some threats can be Fully UnDetectable (FUD) for some time and challenge perimeter security.  The code is often encrypted, making it difficult to detect by signature-based

Orcus  is a Remote Access Trojan with some distinctive characteristics. The RAT allows attackers to create plugins and offers a robust core feature set that makes it quite a dangerous malicious program in its class. RAT is quite a stable type that always makes it to the top. ANY.RUN's top malware types in 2022 That's why you'll definitely come across this type in your practice, and the Orcus family specifically. To simplify your analysis, we have collected 3 lifehacks you should take advantage of. Here we go. What is Orcus RAT?  Definition . Orcus RAT is a type of malicious software program that enables remote access and control of computers and networks. It is a type of Remote Access Trojan (RAT) that has been used by attackers to gain access to and control computers and networks. Capabilities . Once downloaded onto a computer or network, it begins to execute its malicious code, allowing the attacker to gain access and control. It is capable of stealing data, conductin

Based on the findings of Malwarebytes' Threat Review for 2022, 40 million Windows business computers' threats were detected in 2021. In order to combat and avoid these kinds of attacks, malware analysis is essential. In this article, we will break down the goal of malicious programs' investigation and how to do malware analysis with a sandbox. What is malware analysis?  Malware analysis is a process of studying a malicious sample. During the study, a researcher's goal is to understand a malicious program's type, functions, code, and potential dangers. Receive the information organization needs to respond to the intrusion. Results of analysis that you get: how malware works: if you investigate the code of the program and its algorithm, you will be able to stop it from infecting the whole system. characteristics of the program: improve detection by using data on malware like its family, type, version, etc. what is the goal of malware: trigger the sample's

Before hunting malware, every researcher needs to find a system where to analyze it. There are several ways to do it: build your own environment or use third-party solutions. Today we will walk through all the steps of creating a custom malware sandbox where you can perform a proper analysis without infecting your computer. And then compare it with a ready-made service. Why do you need a malware sandbox?  A sandbox allows detecting cyber threats and analyzing them safely. All information remains secure, and a suspicious file can't access the system. You can monitor malware processes, identify their patterns and investigate behavior. Before setting up a sandbox, you should have a clear goal of what you want to achieve through the lab.  There are two ways how to organize your working space for analysis: Custom sandbox.  Made from scratch by an analyst on their own, specifically for their needs. A turnkey solution.  A versatile service with a range of configurations to meet yo