A new Go-based remote access trojan named Moonrise has been discovered, operating without early static detection and establishing active C2 communication before vendor alerts. The RAT supports credential theft, remote command execution, persistence, and user monitoring, enabling full remote control of infected endpoints. Its capabilities include stealing passwords, executing remote commands, uploading files, capturing screens, and accessing webcams and microphones. The malware's silent operation increases business exposure, extending dwell time and raising risks of data loss and operational disruption. The attack chain involves session registration, host environment visibility, direct system interaction, credential access, active user monitoring, and privilege manipulation. Early detection strategies involve monitoring for weak signals, rapid triage with behavior confirmation, and threat hunting to prevent repeat incidents.
This entry reports a Maltrail Indicator of Compromise (IOC) dated 2026-02-24, classified as malware with medium severity. It is an OSINT observation from the CIRCL OSINT Feed, indicating suspicious network activity. No specific affected versions, exploits in the wild, or patch information are provided. The threat is categorized as medium risk based on available data.
A new campaign exploits OpenClaw skills to distribute the Atomic MacOS Stealer (AMOS). This evolution in supply chain attacks manipulates AI agentic workflows to install malware. The campaign spans multiple repositories with hundreds of malicious skills uploaded to ClawHub and SkillsMP. The infection chain begins with a seemingly harmless SKILL.md file that installs a prerequisite, leading to the download of a Mach-O universal binary. This AMOS variant steals extensive data, including credentials, browser data, cryptocurrency wallets, and various user documents. It lacks system persistence but expands its reach by exfiltrating Apple and KeePass keychains. The malware uses sophisticated encryption schemes and targets multiple browsers and cryptocurrency wallets.
A sophisticated campaign by the Silver Fox APT group has been discovered using a fake version of the popular Chinese antivirus Huorong Security to distribute ValleyRAT, a Remote Access Trojan. The attackers created a convincing lookalike website with a typosquatted domain to trick users into downloading a malicious installer. The malware uses DLL sideloading techniques to deploy a full-featured backdoor with advanced stealth capabilities. It establishes persistence through scheduled tasks, disables Windows Defender, and employs various evasion tactics. Once installed, ValleyRAT provides attackers with extensive control over the victim's system, including keylogging, process injection, and credential theft. The campaign primarily targets Chinese-language systems but may be spreading to other threat actors due to the public leak of the ValleyRAT builder.
Oleksandr Didenko sold the stolen identities of US citizens, allowing North Koreans to get hired using freelance work platforms. The post Ukrainian Gets 5 Years in US Prison for Aiding North Korean IT Fraud appeared first on SecurityWeek .
While this campaign targets crypto wallets and steals money, the methodology has far wider potential that could be used by other attackers. The post Autonomous AI Agents Provide New Class of Supply Chain Attack appeared first on SecurityWeek .
An active supply chain worm campaign, dubbed SANDWORM_MODE, is spreading through typosquatting and AI toolchain poisoning across at least 19 malicious npm packages. The worm exhibits Shai-Hulud characteristics, incorporating GitHub API exfiltration with DNS fallback, hook-based persistence, SSH propagation, and MCP server injection targeting AI coding assistants. It harvests credentials from developer and CI environments, exfiltrates data via multiple channels, and uses stolen identities to propagate. The campaign also includes a weaponized GitHub Action for CI secret harvesting. The worm employs a multi-stage design with obfuscated loaders, time-gated execution, and extensive configuration options. It targets high-traffic developer utilities, crypto tooling, and AI coding tools, posing a significant threat to the software supply chain.
This entry describes a Maltrail Indicator of Compromise (IOC) dated February 22, 2026, sourced from the CIRCL OSINT feed. It is categorized as malware-related network activity with a medium severity rating. The information is based on open-source intelligence (OSINT) and represents an observation rather than a confirmed exploit or active campaign. No specific affected versions, exploits in the wild, or patches are associated with this IOC. The lack of detailed technical indicators or exploit data limits actionable insights. Organizations should consider this as a medium-risk intelligence input for network monitoring and threat detection. The threat does not currently appear to target specific products or regions. Defenders should remain vigilant but note the absence of immediate exploit evidence.
The Maltrail IOC for 2026-02-21 is an open-source intelligence (OSINT) observation related to malware network activity, published by CIRCL. It is classified as a medium-risk threat with no specific affected versions or known exploits in the wild. The information is derived from manual collection and is intended for broad, unsupervised automation use. No patches or direct remediation links are available, indicating this is primarily an intelligence feed rather than a vulnerability or active exploit. The threat relates to network activity patterns detected by Maltrail, a network traffic detection system. Due to the lack of detailed technical indicators or exploit data, the threat's impact is assessed as medium, with potential risks to network monitoring and detection capabilities. Organizations relying on Maltrail or similar network monitoring tools should remain vigilant and integrate this IOC into their threat detection processes. Countries with significant internet infrastructure and cybersecurity monitoring deployments are more likely to be affected. The threat does not require authentication or user interaction for detection but also lacks evidence of active exploitation, leading to a medium severity rating.
NIST’s single photon chip will likely make QKD an option for a wider range of companies. The post NIST’s Quantum Breakthrough: Single Photons Produced on a Chip appeared first on SecurityWeek .
A sophisticated ClickFix campaign has been uncovered, compromising legitimate websites to deliver a multi-stage malware chain. The attack culminates in MIMICRAT, a custom remote access trojan with advanced capabilities. The campaign uses compromised sites across industries and geographies for delivery, employing a five-stage PowerShell chain that bypasses security measures before deploying a Lua-scripted shellcode loader. MIMICRAT, the final payload, is a native C++ RAT featuring malleable C2 profiles, Windows token theft, and SOCKS5 proxy functionality. The attack chain involves multiple compromised websites, obfuscated scripts, and sophisticated evasion techniques, demonstrating a high level of operational sophistication.
The company is investigating whether any customer or employee data was stolen by hackers. The post Chip Testing Giant Advantest Hit by Ransomware appeared first on SecurityWeek .
This entry describes a Maltrail Indicator of Compromise (IOC) dated February 20, 2026, sourced from the CIRCL OSINT feed. It is categorized as malware-related network activity with a medium risk level. No specific affected product versions, exploits in the wild, or patches are identified. The information is derived from open-source intelligence and manual collection methods, indicating ongoing monitoring rather than a newly discovered vulnerability or active exploit. The lack of technical details and indicators limits actionable insights. Organizations should consider this as a medium-risk observation that may reflect suspicious network behavior but does not currently represent an active or widespread threat. Vigilance in network monitoring and threat intelligence correlation is advised. Given the absence of exploit details and patch availability, the suggested severity is medium.
This intelligence report details a hybrid cryptocurrency investment scam campaign targeting users in Asia, particularly Japan. The scam combines malvertising techniques to attract victims with pig butchering tactics using AI-powered chatbots for sustained engagement. Victims are lured through social media ads impersonating financial experts, directed to lure websites, and then to messaging apps where automated bots manipulate them into making increasingly large investments. The campaign uses over 23,000 domains, many generated algorithmically, and shows signs of expanding globally. This approach represents a scalable, automated evolution of traditional investment fraud methods, potentially transforming labor-intensive scams into more efficient operations.
A new phishing tactic involving fake Microsoft and Google Calendar invites has been identified, aimed at stealing login credentials. These sophisticated attacks mimic designs from well-known platforms, exploiting routine business activities like scheduling meetings. Threat actors use email spoofing and create fake urgent calendar invitations to deceive employees. The phishing emails often contain buttons or links that redirect to fake login pages, closely resembling official Microsoft or Google login screens. The campaigns exploit the popularity of calendar invitations in corporate environments, allowing attackers to gather sensitive information if users are not vigilant. To prevent falling victim to these attacks, it is crucial to verify the authenticity of calendar invites, carefully check sender details, and avoid clicking suspicious links from unknown senders.
The blockchain-based lender has confirmed a data breach after ShinyHunters leaked over 2GB of data allegedly stolen from the company. The post Nearly 1 Million User Records Compromised in Figure Data Breach appeared first on SecurityWeek .
This analysis reveals the growing threat of malicious OAuth applications in Microsoft Entra ID, which attackers use for persistence and privilege escalation. The report details how these apps blend in with legitimate integrations, making detection challenging. It describes the creation of OAuth Apps Scout, an automated detection pipeline that identifies emerging malicious OAuth apps. The research uncovered multiple campaigns, including one involving 19 apps impersonating well-known brands. The report compares tactics from 2019 to 2025, showing an evolution in attacker strategies from Microsoft impersonation to third-party SaaS spoofing. It concludes with actionable defense strategies for organizations to protect against these threats.
This entry describes a Maltrail Indicator of Compromise (IOC) dated February 19, 2026, categorized as malware with a medium risk level. The information is sourced from the CIRCL OSINT feed and is labeled as an unsupervised, manual collection of network activity observations. No specific affected versions, exploits in the wild, or patches are noted, and no detailed technical indicators or vulnerabilities are provided. The threat is primarily an OSINT observation without concrete actionable details or known active exploitation. Given the lack of detailed technical data, the threat appears to be of medium severity, reflecting potential but unconfirmed risk. Organizations should remain vigilant for related network anomalies but no immediate critical action is mandated. The threat's global impact is uncertain due to the absence of affected products or sectors. Countries with significant use of network monitoring tools and high cyber threat exposure may be more attentive to such IOC feeds. Overall, this represents a medium-level malware-related network activity observation without direct exploit evidence.
This entry describes a Maltrail Indicator of Compromise (IOC) dated February 18, 2026, sourced from the CIRCL OSINT feed. It is categorized as malware-related network activity with a medium risk level. No specific affected product versions, exploits in the wild, or patches are identified. The IOC appears to be an observation from open-source intelligence without detailed technical indicators or attack vectors. Given the lack of detailed exploit information and absence of known active exploitation, the threat is assessed as medium severity. Organizations should monitor network traffic for suspicious activity consistent with Maltrail detections and maintain vigilance in threat intelligence updates. The threat is relevant globally due to the generic nature of network-based malware activity but lacks specificity to target particular countries or sectors. Practical mitigation involves enhancing network monitoring, deploying anomaly detection tools, and ensuring timely threat intelligence integration. No direct CVSS score is available, so severity is inferred from available data.
