MuddyWater, an Iran-aligned cyberespionage group, has been targeting critical infrastructure in Israel and Egypt with custom malware and improved tactics. The campaign uses previously undocumented tools like the Fooder loader and MuddyViper backdoor to enhance defense evasion and persistence. Fooder masquerades as a Snake game and uses game-inspired techniques to hinder analysis. MuddyViper enables system information collection, file manipulation, and credential theft. The group also employs browser-data stealers and reverse tunneling tools. This campaign demonstrates MuddyWater's evolution towards more sophisticated and refined approaches, though traces of operational immaturity remain. The group continues to pose a significant threat, particularly to government, military, telecommunications, and critical infrastructure sectors in the Middle East.
ESET researchers have uncovered a new China-aligned APT group named LongNosedGoblin targeting governmental entities in Southeast Asia and Japan for cyberespionage. The group employs a varied custom toolset of C#/.NET applications and abuses Group Policy for lateral movement. Key tools include NosyHistorian for collecting browser history, NosyDoor backdoor using cloud services as C&C, and NosyStealer for exfiltrating browser data. The attackers also utilize techniques like AppDomainManager injection and AMSI bypassing. LongNosedGoblin has been active since at least September 2023, showing ongoing campaigns throughout 2024 and 2025. The research provides detailed analysis of the group's malware and tactics, including potential sharing of the NosyDoor backdoor among multiple China-aligned actors.
The deal involved aerospace and defense specialist Emcore Corp.selling its computer chips and wafer fabrication operation. The post President Trump Orders Divestment in $2.9 Million Chips Deal to Protect US Security Interests appeared first on SecurityWeek .
The Kermit exploit reportedly undermines police AI systems responsible for maintaining record integrity, potentially allowing adversaries to challenge or manipulate official records. Originating from a Reddit InfoSec news post and linked to flyingpenguin.com, the exploit is classified as a high-severity vulnerability but lacks detailed technical disclosure or known active exploitation. The threat primarily targets AI-driven law enforcement record systems, raising concerns about data integrity and trustworthiness in legal and administrative processes. European organizations relying on similar AI record-keeping or law enforcement technologies could face risks of data tampering or evidentiary challenges. Mitigation requires focused validation of AI system inputs, enhanced audit trails, and collaboration with AI vendors to patch vulnerabilities. Countries with advanced law enforcement AI deployments and significant digital record infrastructures, such as Germany, France, and the UK, are most likely to be affected. Given the high potential impact on data integrity and the absence of known exploits or detailed technical data, the suggested severity is high. Defenders should prioritize monitoring for related exploit attempts and strengthen AI system security controls.
A ransomware attack on Covenant Health resulted in a data breach affecting over 478,000 individuals. The attack involved malware that encrypted or compromised sensitive health data, leading to significant exposure of personal information. Although no specific exploited vulnerabilities or affected software versions are detailed, the breach highlights the ongoing risk ransomware poses to healthcare organizations. There is no indication of known exploits in the wild beyond this incident. The breach underscores the importance of robust cybersecurity measures in protecting sensitive health data. European healthcare organizations face similar risks due to comparable threat landscapes and regulatory environments. Mitigation requires targeted strategies including network segmentation, advanced endpoint detection, and incident response readiness. Countries with large healthcare sectors and high adoption of similar IT infrastructure are most at risk. The severity is assessed as high due to the scale of data exposure, potential for patient harm, and operational disruption. Defenders should prioritize proactive ransomware defenses and comprehensive data protection protocols.
A critical security threat has emerged involving over 10,000 Fortinet firewalls that are vulnerable to an actively exploited two-factor authentication (2FA) bypass. This vulnerability allows attackers to circumvent the additional security layer provided by 2FA, potentially gaining unauthorized access to firewall management interfaces. The exploitation of this flaw can lead to severe consequences including network compromise, data breaches, and disruption of services. European organizations using Fortinet firewalls are at significant risk, especially those in sectors with high reliance on secure perimeter defenses. The threat is rated high severity due to the potential impact on confidentiality, integrity, and availability, combined with the ease of exploitation without requiring user interaction. Immediate mitigation steps include applying vendor patches once available, restricting administrative access via VPN or IP whitelisting, and enhancing network monitoring for suspicious activities. Countries with high Fortinet market penetration and critical infrastructure sectors, such as Germany, France, the UK, and the Netherlands, are likely to be most affected. Defenders must prioritize this threat to prevent widespread compromise and maintain network security.
A hacker claims to have stolen over 3 million records from Tokyo FM, a major Japanese radio broadcaster, indicating a significant data breach. The breach was reported via Reddit and linked to an external news source, but technical details and affected systems remain undisclosed. No known exploits or patches have been identified yet. The breach poses a high risk to confidentiality due to the volume of data compromised, potentially including personal information of listeners or employees. European organizations may face indirect impacts through partnerships or data sharing with affected entities. Mitigation focuses on enhanced monitoring, incident response readiness, and reviewing data sharing agreements. Countries with strong media sectors and close business ties to Japan, such as Germany, the UK, and France, are more likely to be affected. Given the scale and nature of the breach, the suggested severity is high due to the potential for identity theft, reputational damage, and regulatory consequences. Defenders should prioritize verifying the breach scope, securing exposed systems, and preparing for possible secondary attacks leveraging stolen data.
The Transparent Tribe threat actor has launched new Remote Access Trojan (RAT) attacks targeting Indian government and academic institutions. These attacks involve sophisticated malware designed to gain persistent unauthorized access, enabling espionage and data exfiltration. Although primarily focused on Indian entities, the techniques and malware used could potentially be adapted to target organizations in Europe, especially those with geopolitical or academic ties to India. The threat is considered high severity due to the targeted nature and potential impact on confidentiality and integrity of sensitive data. No public CVSS score is available, but the threat is assessed as high severity given the ease of exploitation and significant impact. European organizations should be vigilant, particularly those collaborating with Indian counterparts or involved in related research fields. Mitigation requires advanced detection, network segmentation, and threat intelligence sharing. Countries with strong academic and governmental ties to India, such as the UK, Germany, and France, are more likely to be affected. Defenders must prioritize monitoring for RAT indicators, enforce strict access controls, and maintain updated endpoint protections to mitigate this threat.
The Kimwolf Botnet is a recently reported high-severity botnet threat that targets local networks. It is actively stalking local network environments to potentially compromise devices and expand its reach. While detailed technical specifics are limited, the botnet's presence on local networks suggests it may exploit network vulnerabilities or weak device security to propagate. There are no known exploits in the wild yet, but the threat is considered high priority due to its potential impact. European organizations could face risks including unauthorized access, data exfiltration, and disruption of network services. Mitigation requires enhanced local network monitoring, segmentation, and device hardening beyond generic advice. Countries with high IoT and networked device adoption, significant industrial infrastructure, or strategic geopolitical importance in Europe are more likely to be targeted. Given the botnet’s ability to infiltrate local networks without requiring user interaction or authentication, the suggested severity is high. Defenders should prioritize detection capabilities and proactive network hygiene to mitigate this emerging threat.
The VVS Discord Stealer is a malware strain designed to extract Discord user credentials and tokens. It employs Pyarmor, a Python obfuscation tool, to evade detection by security solutions and hinder analysis. Although no known exploits in the wild have been reported yet, its medium severity rating reflects the potential risk of credential theft and unauthorized account access. The malware primarily targets Discord users, which could include individuals and organizations using Discord for communication and collaboration. European organizations with significant Discord usage, especially in tech, gaming, and remote work sectors, may be at risk. Mitigation requires enhanced endpoint detection capabilities that can identify obfuscated Python malware, user education on phishing and suspicious downloads, and restricting Discord token storage or access. Countries with high Discord adoption and active gaming or tech communities, such as Germany, France, the UK, and the Netherlands, are more likely to be affected. Given the malware’s ability to compromise confidentiality without requiring user interaction beyond initial infection, the suggested severity is high. Defenders should prioritize monitoring for obfuscated Python malware and implement controls to protect Discord credentials.
Flock, a provider of AI-enabled surveillance cameras, has exposed its devices, potentially allowing unauthorized access to video feeds and sensitive data. This exposure raises concerns about privacy violations and unauthorized surveillance. The threat involves AI-powered cameras that may be accessible due to misconfigurations or vulnerabilities. Although no known exploits are currently in the wild, the medium severity rating reflects the potential risks to confidentiality and privacy. European organizations using Flock cameras could face data breaches and compliance issues under GDPR. Mitigation requires immediate review of device configurations, network segmentation, and strict access controls. Countries with higher adoption of smart surveillance and strong privacy regulations, such as Germany, France, and the UK, are particularly at risk. Given the ease of exploitation through exposed devices and the sensitivity of surveillance data, the suggested severity is medium. Defenders should prioritize securing AI surveillance infrastructure to prevent unauthorized access and data leakage.
A phishing campaign is abusing Google Cloud applications to impersonate legitimate Google emails, deceiving recipients into trusting malicious messages. Attackers leverage the credibility of Google Cloud infrastructure to bypass traditional email security filters and increase the success rate of phishing attempts. This technique enables threat actors to send emails that appear authentic, potentially leading to credential theft, malware deployment, or further social engineering attacks. The campaign is currently assessed as medium severity due to its potential impact and ease of exploitation without requiring user interaction beyond opening the email. European organizations, especially those heavily reliant on Google Workspace and cloud services, face increased risk. Mitigation requires enhanced email filtering, user awareness training focused on recognizing subtle phishing cues, and strict verification of email sources even when messages appear to come from trusted domains. Countries with high adoption of Google services and significant cloud infrastructure usage, such as the UK, Germany, France, and the Netherlands, are most likely to be targeted. Given the campaign's use of trusted cloud platforms to impersonate legitimate emails, defenders must remain vigilant and implement layered security controls to reduce exposure.
The VVS Discord Stealer is a Python-based malware designed to exfiltrate sensitive Discord user data including credentials and tokens. It uses Pyarmor with BCC mode and AES-128-CTR encryption to heavily obfuscate its code, evading detection by static and dynamic analysis tools. The malware decrypts encrypted Discord tokens, queries Discord APIs for user information, injects malicious JavaScript into the Discord client to intercept active sessions, and extracts data from multiple web browsers. It achieves persistence by configuring itself to run at system startup and deceives victims by displaying a fake error message. While no known exploits or CVEs are reported, its capabilities pose a medium severity threat. The stealer primarily targets Windows environments where Discord and browsers are installed and relies on user interaction, likely via social engineering. European organizations with significant Discord usage, especially in technology, gaming, media, and education sectors, face risks of credential theft, unauthorized access, data leakage, and operational disruption. Detection requires behavioral and heuristic analysis due to strong obfuscation techniques.
A newly disclosed Windows persistence technique leverages NTUSER. MAN file writes to achieve registry-based persistence without triggering registry callback detections in Endpoint Detection and Response (EDR) systems. This method bypasses common monitoring mechanisms by avoiding direct registry calls to HKCU, making it stealthy and effective for medium integrity persistence. Although no known exploits are currently in the wild, the technique poses a medium severity risk due to its evasion capabilities and potential for undetected persistence. European organizations relying on Windows environments and EDR solutions that monitor registry callbacks should be aware of this threat. Mitigation requires enhanced monitoring of NTUSER. MAN file modifications and behavioral analysis beyond traditional registry callback detection. Countries with high Windows adoption and advanced cyber threat landscapes, such as Germany, France, and the UK, are likely more exposed. The technique’s stealth and ease of implementation elevate its risk profile, warranting proactive defensive measures.
Ryan Goldberg and Kevin Martin have admitted being affiliates of the BlackCat/Alphv ransomware group. The post Two US Cybersecurity Pros Plead Guilty Over Ransomware Attacks appeared first on SecurityWeek .
The Qilin ransomware group hacked the healthcare organization and stole data from its systems in May 2025. The post Covenant Health Data Breach Impacts 478,000 Individuals appeared first on SecurityWeek .
GreyNoise has observed thousands of requests targeting a dozen vulnerabilities in Adobe ColdFusion during the Christmas 2025 holiday. The post Adobe ColdFusion Servers Targeted in Coordinated Campaign appeared first on SecurityWeek .
A new automated red-team tool has been developed to identify critical vulnerabilities in AI applications that integrate large language models (LLMs) such as GPT-4. The tool focuses on discovering prompt injection or jailbreak attacks, system prompt leaks, and potential leakage of personally identifiable information (PII) from the model's context or training data. Early tests on AI startups revealed prompt leaks within minutes, highlighting the immature state of LLM security. This threat exposes significant risks including unauthorized command execution, data exposure, and compromise of AI system integrity. European organizations adopting AI solutions without robust security controls may face data breaches and operational disruptions. Mitigation requires specialized security assessments tailored to LLM-based applications, including prompt sanitization, strict access controls, and continuous monitoring. Countries with high AI adoption and technology sectors, such as Germany, France, and the UK, are particularly at risk. Given the critical impact on confidentiality, integrity, and availability and ease of exploitation without authentication, the severity is assessed as critical. Defenders must prioritize securing AI integrations to prevent exploitation of these novel attack surfaces.
