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Sandboxes are synonymous with dynamic malware analysis. They help to execute malicious files in a safe virtual environment and observe their behavior. However, they also offer plenty of value in terms of static analysis. See these five scenarios where a sandbox can prove to be a useful tool in your investigations. Detecting Threats in PDFs PDF files are frequently exploited by threat actors to deliver payloads. Static analysis in a sandbox makes it possible to expose any threat a malicious PDF contains by extracting its structure. The presence of JavaScript or Bash scripts can reveal a possible mechanism for downloading and executing malware.  Sandboxes like ANY.RUN also allows users to scrutinize URLs found in PDFs to identify suspicious domains, potential command and control (C2) servers, or other indicators of compromise. Example: Static analysis of a PDF file in ANY.RUN Interactivity allows our users to manipulate files within a VM as they wish, but static Discovery offers

Processing alerts quickly and efficiently is the cornerstone of a Security Operations Center (SOC) professional's role. Threat intelligence platforms can significantly enhance their ability to do so. Let's find out what these platforms are and how they can empower analysts. The Challenge: Alert Overload The modern SOC faces a relentless barrage of security alerts generated by SIEMs and EDRs. Sifting through these alerts is both time-consuming and resource-intensive. Analyzing a potential threat often requires searching across multiple sources before finding conclusive evidence to verify if it poses a real risk. This process is further hampered by the frustration of spending valuable time researching artifacts that ultimately turn out to be false positives. As a result, a significant portion of these events remain uninvestigated. This highlights a critical challenge: finding necessary information related to different indicators quickly and accurately. Threat data platforms o

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo

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

Remote Access Trojans (RATs) have taken the third leading position in ANY. RUN's  Q1 2023 report  on the most prevalent malware types, making it highly probable that your organization may face this threat. Though LimeRAT might not be the most well-known RAT family, its versatility is what sets it apart. Capable of carrying out a broad spectrum of malicious activities, it excels not only in data exfiltration, but also in creating DDoS botnets and facilitating crypto mining. Its compact footprint allows it to elude endpoint detection systems, making it a stealthy adversary. Interestingly, LimeRAT shares similarities with njRAT, which ANY.RUN ranks as the third most popular malware family in terms of uploads during Q1 2023. ANY.RUN researchers have recently conducted an in-depth analysis of a LimeRAT sample and successfully extracted its configuration. In this article, we'll provide a brief overview of that analysis. Collected artifacts SHA1 14836dd608efb4a0c552a4f370e

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