Primary threat research from Elastic Security Labs
1 October 2024
Elastic publishes 2024 Global Threat Report
Elastic Security Labs has released the 2024 Elastic Global Threat Report, surfacing the most pressing threats, trends, and recommendations to help keep organizations safe for the upcoming year.
Featured
Security Research
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Streamlining Security: Integrating Amazon Bedrock with Elastic
This article will guide you through the process of setting up the Amazon Bedrock integration and enabling Elastic's prebuilt detection rules to streamline your security operations.
Cups Overflow: When your printer spills more than Ink
Elastic Security Labs discusses detection and mitigation strategies for vulnerabilities in the CUPS printing system, which allow unauthenticated attackers to exploit the system via IPP and mDNS, resulting in remote code execution (RCE) on UNIX-based systems such as Linux, macOS, BSDs, ChromeOS, and Solaris.
Storm on the Horizon: Inside the AJCloud IoT Ecosystem
Wi-Fi cameras are popular due to their affordability and convenience but often have security vulnerabilities that can be exploited.
Code of Conduct: DPRK’s Python-fueled intrusions into secured networks
Investigating the DPRK’s strategic use of Python and carefully crafted social engineering, this publication sheds light on how they breach highly secure networks with evolving and effective cyber attacks.
Malware Analysis
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Katz and Mouse Game: MaaS Infostealers Adapt to Patched Chrome Defenses
Elastic Security Labs breaks down bypass implementations from the infostealer ecosystem’s reaction to Chrome 127's Application-Bound Encryption scheme.
Tricks and Treats: GHOSTPULSE’s new pixel-level deception
The updated GHOSTPULSE malware has evolved to embed malicious data directly within pixel structures, making it harder to detect and requiring new analysis and detection techniques.
Betting on Bots: Investigating Linux malware, crypto mining, and gambling API abuse
The REF6138 campaign involved cryptomining, DDoS attacks, and potential money laundering via gambling APIs, highlighting the attackers' use of evolving malware and stealthy communication channels.
Code of Conduct: DPRK’s Python-fueled intrusions into secured networks
Investigating the DPRK’s strategic use of Python and carefully crafted social engineering, this publication sheds light on how they breach highly secure networks with evolving and effective cyber attacks.
Campaigns
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PIKABOT, I choose you!
Elastic Security Labs observed new PIKABOT campaigns, including an updated version. PIKABOT is a widely deployed loader malicious actors utilize to distribute additional payloads.
Initial research exposing JOKERSPY
Explore JOKERSPY, a recently discovered campaign that targets financial institutions with Python backdoors. This article covers reconnaissance, attack patterns, and methods of identifying JOKERSPY in your network.
Elastic charms SPECTRALVIPER
Elastic Security Labs has discovered the P8LOADER, POWERSEAL, and SPECTRALVIPER malware families targeting a national Vietnamese agribusiness. REF2754 shares malware and motivational elements of the REF4322 and APT32 activity groups.
PHOREAL Malware Targets the Southeast Asian Financial Sector
Elastic Security discovered PHOREAL malware, which is targeting Southeast Asia financial organizations, particularly those in the Vietnamese financial sector.
Groups & Tactics
View allBetting on Bots: Investigating Linux malware, crypto mining, and gambling API abuse
The REF6138 campaign involved cryptomining, DDoS attacks, and potential money laundering via gambling APIs, highlighting the attackers' use of evolving malware and stealthy communication channels.
Code of Conduct: DPRK’s Python-fueled intrusions into secured networks
Investigating the DPRK’s strategic use of Python and carefully crafted social engineering, this publication sheds light on how they breach highly secure networks with evolving and effective cyber attacks.
GrimResource - Microsoft Management Console for initial access and evasion
Elastic researchers uncovered a new technique, GrimResource, which allows full code execution via specially crafted MSC files. It underscores a trend of well-resourced attackers favoring innovative initial access methods to evade defenses.
Invisible miners: unveiling GHOSTENGINE’s crypto mining operations
Elastic Security Labs has identified REF4578, an intrusion set incorporating several malicious modules and leveraging vulnerable drivers to disable known security solutions (EDRs) for crypto mining.
Perspectives
Storm on the Horizon: Inside the AJCloud IoT Ecosystem
Wi-Fi cameras are popular due to their affordability and convenience but often have security vulnerabilities that can be exploited.
Kernel ETW is the best ETW
This research focuses on the importance of native audit logs in secure-by-design software, emphasizing the need for kernel-level ETW logging over user-mode hooks to enhance anti-tamper protections.
Forget vulnerable drivers - Admin is all you need
Bring Your Own Vulnerable Driver (BYOVD) is an increasingly popular attacker technique whereby a threat actor brings a known-vulnerable signed driver alongside their malware, loads it into the kernel, then exploits it to perform some action within the kernel that they would not otherwise be able to do. Employed by advanced threat actors for over a decade, BYOVD is becoming increasingly common in ransomware and commodity malware.
GenerativeAI
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Elastic Advances LLM Security with Standardized Fields and Integrations
Discover Elastic’s latest advancements in LLM security, focusing on standardized field integrations and enhanced detection capabilities. Learn how adopting these standards can safeguard your systems.
Embedding Security in LLM Workflows: Elastic's Proactive Approach
Dive into Elastic's exploration of embedding security directly within Large Language Models (LLMs). Discover our strategies for detecting and mitigating several of the top OWASP vulnerabilities in LLM applications, ensuring safer and more secure AI-driven applications.
Accelerating Elastic detection tradecraft with LLMs
Learn more about how Elastic Security Labs has been focused on accelerating our detection engineering workflows by tapping into more generative AI capabilities.
Using LLMs and ESRE to find similar user sessions
In our previous article, we explored using the GPT-4 Large Language Model (LLM) to condense Linux user sessions. In the context of the same experiment, we dedicated some time to examine sessions that shared similarities. These similar sessions can subsequently aid the analysts in identifying related suspicious activities.
Tools
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STIXy Situations: ECSaping your threat data
Structured threat data is commonly formatted using STIX. To help get this data into Elasticsearch, we’re releasing a Python script that converts STIX to an ECS format to be ingested into your stack.
Into The Weeds: How We Run Detonate
Explore the technical implementation of the Detonate system, including sandbox creation, the supporting technology, telemetry collection, and how to blow stuff up.
Click, Click… Boom! Automating Protections Testing with Detonate
To automate this process and test our protections at scale, we built Detonate, a system that is used by security research engineers to measure the efficacy of our Elastic Security solution in an automated fashion.
Unpacking ICEDID
ICEDID is known to pack its payloads using custom file formats and a custom encryption scheme. We are releasing a set of tools to automate the unpacking process and help analysts and the community respond to ICEDID.