Primary threat research from Elastic Security Labs
6 May 2023
Now available: The LLM safety assessment
Check out the newest report from Elastic Security Labs, which explores how you can protect your organization from LLM threats.
Featured
Security Research
View allStorm 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.
Dismantling Smart App Control
This article will explore Windows Smart App Control and SmartScreen as a case study for researching bypasses to reputation-based systems, then demonstrate detections to cover those weaknesses.
Introducing a New Vulnerability Class: False File Immutability
This article introduces a previously-unnamed class of Windows vulnerability that demonstrates the dangers of assumption and describes some unintended security consequences.
Malware Analysis
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.
Beyond the wail: deconstructing the BANSHEE infostealer
The BANSHEE malware is a macOS-based infostealer that targets system information, browser data, and cryptocurrency wallets.
BITS and Bytes: Analyzing BITSLOTH, a newly identified backdoor
Elastic Security Labs identified a novel Windows backdoor leveraging the Background Intelligent Transfer Service (BITS) for C2. This malware was found during a recent activity group tracked as REF8747.
Campaigns
View allPIKABOT, 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
View allElastic 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
View allSTIXy 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.