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2022-10-18 08:41:18 The benefits of taking an intent-based approach to detecting Business Email Compromise (lien direct) By Abhishek Singh.BEC is a multi-stage attack. Adversaries first identify targets, then they establish rapport with the victim before exploiting them for whatever their end goal is. In the case of BEC, a threat actor can impersonate any employee in the organization to trick targets.  A policy that checks for authorized email addresses of the sender can prevent BEC attacks. However, scaling the approach for every employee in a large organization is a challenge.  Building an executive profile based on email analysis using a machine learning model and scanning emails against that profile will detect BEC. Data collection for building and training machine learning algorithms can take time, though, opening a window of opportunity for threat actors to exploit.  Detection of exploitation techniques such as lookalike domains and any differences in the email addresses in the "From" and "Reply-to" fields can also detect BEC messages. However, the final verdict cannot account for the threat actor's intent.  The intent-based approach detects BEC and then classifies it into the type of scam. It catches BEC messages, irrespective of whether a threat actor is impersonating a C-level executive or any employee in an organization. Classification based on the type of scam can help identify which segment of an organization was targeted and which employees were being impersonated by the threat actor. The additional information will further assist in better designing preventive features to stop BEC. Business email compromise (BEC) is one of the most financially damaging online crimes. As per the internet crime 221 report, the total loss in 2021 due to BEC is around 2.4 billion dollars. Since 2013, BEC has resulted in a 43 billion dollars loss. The report defines BEC as a scam targeting businesses (not individuals) working with foreign suppliers and companies regularly performing wire transfer payments. Fraudsters carry out these sophisticated scams to conduct the unauthorized transfer of funds. This introduces the challenge of how to detect and block these campaigns as they continue to compromise organizations successfully. There are a variety of approaches to identifying BEC email messages, such as using policy to allow emails from authorized email addresses, detecting exploitation techniques used by threat actors, building profiles by analysis of emails, and validating against the profile to detect BEC. These approaches have a variety of limitations or shortcomings. Cisco Talos is taking a different approach and using an intent-based model to identify and block BEC messages. Before we get too deep into the intent-based model, take a deeper look at the commonly used approaches to block BEC from the simplistic through machine learning (ML) approaches. Policy-based detection The first place to start is with policy-based detection as it is one of the most common and simplistic approaches to blocking BEC campaigns. Let's start by looking at an example of a BEC email.  Threat Medical Cloud Yahoo Uber APT 38 APT 37 APT 29 APT 19 APT 15 APT 10
2022-08-04 08:00:13 Attackers leveraging Dark Utilities "C2aaS" platform in malware campaigns (lien direct) By Edmund Brumaghin, Azim Khodjibaev and Matt Thaxton, with contributions from Arnaud Zobec.Executive SummaryDark Utilities, released in early 2022, is a platform that provides full-featured C2 capabilities to adversaries.It is marketed as a means to enable remote access, command execution, distributed denial-of-service (DDoS) attacks and cryptocurrency mining operations on infected systems.Payloads provided by the platform support Windows, Linux and Python-based implementations and are hosted within the Interplanetary File System (IPFS), making them resilient to content moderation or law enforcement intervention.Since its initial release, we've observed malware samples in the wild leveraging it to facilitate remote access and cryptocurrency mining.What is "Dark Utilities?"In early 2022, a new C2 platform called "Dark Utilities" was established, offering a variety of services such as remote system access, DDoS capabilities and cryptocurrency mining. The operators of the service also established Discord and Telegram communities where they provide technical support and assistance for customers on the platform.Dark Utilities provides payloads consisting of code that is executed on victim systems, allowing them to be registered with the service and establish a command and control (C2) communications channel. The platform currently supports Windows, Linux and Python-based payloads, allowing adversaries to target multiple architectures without requiring significant development resources. During our analysis, we observed efforts underway to expand OS and system architecture support as the platform continues to see ongoing develo Spam Malware Hack Tool Threat Guideline APT 19
2022-08-02 08:00:14 Manjusaka: A Chinese sibling of Sliver and Cobalt Strike (lien direct) By Asheer Malhotra and Vitor Ventura.Cisco Talos recently discovered a new attack framework called "Manjusaka" being used in the wild that has the potential to become prevalent across the threat landscape. This framework is advertised as an imitation of the Cobalt Strike framework.The implants for the new malware family are written in the Rust language for Windows and Linux.A fully functional version of the command and control (C2), written in GoLang with a User Interface in Simplified Chinese, is freely available and can generate new implants with custom configurations with ease, increasing the likelihood of wider adoption of this framework by malicious actors.We recently discovered a campaign in the wild using lure documents themed around COVID-19 and the Haixi Mongol and Tibetan Autonomous Prefecture, Qinghai Province. These maldocs ultimately led to the delivery of Cobalt Strike beacons on infected endpoints.We have observed the same threat actor using the Cobalt Strike beacon and implants from the Manjusaka framework.IntroductionCisco Talos has discovered a relatively new attack framework called "Manjusaka" (which can be translated to "cow flower" from the Simplified Chinese writing) by their authors, being used in the wild.As defenders, it is important to keep track of offensive frameworks such as Cobalt Strike and Sliver so that enterprises can effectively defend against attacks employing these tools. Although we haven't observed widespread usage of this framework in the wild, it has the potential to be adopted by threat actors all over the world. This disclosure from Talos intends to provide early notification of the usage of Manjusaka. We also detail the framework's capabilities and the campaign that led to the discovery of this attack framework in the wild.The research started with a malicious Microsoft Word document (maldoc) that contained a Cobalt Strike (CS) beacon. The lure on this document mentioned a COVID-19 outbreak in Golmud City, one of the largest cities in the Haixi Mongol and Tibetan Autonomous Prefecture, Qinghai Province. During the investigation, Cisco Talos found no direct link between the campaign and the framework developers, aside from the usage of the framework (which is freely available on GitHub). However, we could not find any data that could support victimology definition. This is justifiable considering there's a low number of victims, indicating the early stages of the campaign, further supported by the maldoc metadata that indicates it was created in the second half of June 2022.While investigating the maldoc infection chain, we found an implant used to instrument Manjusaka infections, contacting the same IP address as the CS beacon. This implant is written in the Rust programming language and we found samples for Windows and Linux operating systems. The Windows implant included test samples, which had non-internet-routable IP addresses as command and control (C2). Talos also discovered the Manjusaka C2 executable - a fully functional C2 ELF binary written in GoLang with a User Interface in Simplified Chinese - on GitHub. While analyzing the C2, we generated implants by specifying our configurations. The developer advertises it has an advers Malware Threat Guideline APT 19
2022-07-27 12:22:17 Vulnerability Spotlight: How a code re-use issue led to vulnerabilities across multiple products (lien direct) By Francesco Benvenuto. Recently, I was performing some research on a wireless router and noticed the following piece of code:  Vulnerability Guideline Medical APT 38 APT 19
Last update at: 2024-05-20 01:08:03
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