• In today’s hyperconnected business environment, organizations are under constant threat from cybercriminals who exploit digital footprints, shadow IT, cloud misconfigurations, and external exposures. Digital footprint monitoring has become one of the most critical aspects of a cybersecurity strategy in 2025. Organizations not only need to defend their internal networks but also proactively monitor external attack […]

    The post Top 10 Best Digital Footprint Monitoring Tools for Organizations in 2025 appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

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  • Threat actors with suspected ties to China have turned a legitimate open-source monitoring tool called Nezha into an attack weapon, using it to deliver a known malware called Gh0st RAT to targets. The activity, observed by cybersecurity company Huntress in August 2025, is characterized by the use of an unusual technique called log poisoning (aka log injection) to plant a web shell on a web

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  • A sophisticated Android remote access trojan (RAT) has emerged on GitHub, presenting significant security concerns for mobile device users worldwide.

    The malware, publicly available under the repository “Android-RAT” by user Huckel789, claims to offer fully undetectable (FUD) capabilities that can bypass modern security measures and antivirus detection systems.

    This malicious software represents a concerning evolution in mobile malware distribution, leveraging legitimate platforms to host and distribute dangerous payloads.

    The RAT operates through a web-based interface requiring no PC installation, making it accessible to threat actors with varying technical expertise.

    Its distribution method exploits GitHub’s trusted platform status, potentially bypassing security filters that typically block malicious downloads from suspicious domains.

    The malware’s comprehensive feature set includes keylogging capabilities, credential hijacking, ransomware functionality, and sophisticated social engineering tools designed to deceive users into granting necessary permissions.

    Security researcher Huckel789 identified this particular strain as employing advanced stealth techniques specifically engineered to evade detection by popular antivirus solutions and VirusTotal scans.

    The malware incorporates anti-emulator and virtual machine detection mechanisms, ensuring it operates exclusively on genuine Android devices while remaining dormant in security analysis environments.

    This selective activation approach significantly complicates traditional malware analysis workflows used by security professionals.

    The Android RAT demonstrates remarkable persistence capabilities, surviving ultra battery optimization modes and various power management restrictions commonly found in Chinese ROM implementations like MIUI.

    Its resource-efficient design enables continuous background operation while consuming minimal system resources, making detection through performance monitoring extremely difficult.

    Advanced Evasion and Communication Architecture

    The malware’s communication infrastructure represents a sophisticated approach to command and control operations.

    Unlike conventional RATs that employ simple base64 encoding for server communications, this variant implements AES-128-CBC encryption with PKCS padding to secure all data transmissions between infected devices and command servers.

    The encryption implementation ensures that network traffic analysis cannot easily reveal malicious communications, while advanced obfuscation techniques protect the embedded server IP addresses from discovery through static code analysis.

    The RAT’s “Freeze Mode” functionality demonstrates particular innovation in stealth operations, limiting data transmission to 1-3MB over 24-hour periods while maintaining responsiveness to operator commands.

    This approach minimizes network signatures that could trigger security monitoring systems while ensuring reliable remote access capabilities.

    The malware can inject its payload into legitimate applications through a sophisticated dropper module, making initial infection vectors extremely difficult to identify through conventional security scanning mechanisms.

    Follow us on Google NewsLinkedIn, and X to Get More Instant UpdatesSet CSN as a Preferred Source in Google.

    The post New Fully Undetectable FUD Android RAT Hosted on GitHub appeared first on Cyber Security News.

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  • Cybercriminals are increasingly automating one of the most insidious social engineering exploits—forcing victims to manually execute malware under the guise of browser verification. The newly discovered IUAM ClickFix Generator commoditizes the ClickFix technique into an easy-to-use phishing kit, lowering the barrier for threat actors of all skill levels and enabling widespread deployment of information stealers […]

    The post New Phishing Kit Automates ClickFix Attacks to Evade Security Defenses appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

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  • Google has introduced CodeMender, an AI-powered agent designed to automatically detect and patch security flaws in software. Announced on 6 October 2025 by Raluca Ada Popa and Four Flynn, CodeMender represents a major step toward leveraging artificial intelligence for proactive code security. CodeMender builds on Google’s earlier AI research in vulnerability discovery, such as Big Sleep […]

    The post Google Unveils CodeMender – An AI Agent That Automatically Fixes Vulnerable Code appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

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  • In recent weeks, security teams have observed a surge in malvertising campaigns distributing what appears to be a fully functional PDF editor.

    Dubbed TamperedChef, this malware masquerades as a legitimate application—AppSuite PDF Editor—leveraging convincing advertisements to lure European organizations and individuals into downloading the installer.

    Once executed, the installer exhibits expected functionalities for nearly two months, during which victims remain unaware of its true nature.

    During installation, users encounter a professional end-user license agreement dialogue consistent with mainstream software offerings.

    This dialog, displayed in multiple languages, reinforces the illusion of legitimacy and bypasses automated sandbox detonations.

    EULA dialog displayed by the MSI installer (Source – Withsecure Labs)

    Clicking Accept and Install allows the MSI package to proceed without requiring administrative privileges, making it particularly effective in corporate environments with restricted user rights.

    WithSecure Labs analysts identified TamperedChef following a sudden spike in credential-theft incidents within enterprise environments.

    Telemetry data revealed that, upon activation, the malware’s hidden payload initiates the systematic harvesting of browser-stored usernames and passwords.

    This exfiltration occurs silently, with stolen credentials transmitted to attacker-controlled infrastructure, paving the way for backdoor access and further lateral movement.

    Once the malicious payload embedded within pdfeditor.js activates, the application transitions from a benign editor to a stealthy credential harvester.

    Utilityaddon.node’s exported functions (Source – Withsecure Labs)

    The attack is orchestrated using a custom NodeJS module—Utilityaddon.node—which interacts with native Windows APIs to manipulate registry entries and scheduled tasks for persistence.

    By inserting autorun registry keys under the current user hive, the malware ensures execution at each logon without elevating privileges.

    Infection Mechanism

    The infection begins when a user clicks a malicious advertisement and downloads the AppSuite PDF Editor installer from vault.appsuites.ai.

    This installer, created with the Nullsoft Scriptable Install System (NSIS), unpacks the Electron-based application under the user’s profile directory.

    The primary executable, PDF Editor.exe, launches a Chromium-based interface that loads additional JavaScript modules from remote servers.

    Before any PDF editing functionality is available, the installer sets persistence via an autorun registry entry named PDFEditorAutoUp that points to the installed application.

    At runtime, the obfuscated pdfeditor.js script checks for command-line switches, notably --cm, which triggers malicious routines:-

    if (app.commandLine.hasSwitch('cm')) {
      utilityAddon.setupTasks(globals.scheduledTaskName);
      startCredentialHarvest();
    }

    By using command-line flags, the threat actors can toggle between benign and malicious behaviors, complicating detection.

    ‘–cm’ command line argument present in S3-Forge (Source – Withsecure Labs)

    Once the script executes startCredentialHarvest(), it scans local browser storage for credentials and dispatches them over HTTPS to attacker-controlled endpoints, while the visible PDF editor interface remains functional to avoid arousing suspicion.

    Follow us on Google NewsLinkedIn, and X to Get More Instant UpdatesSet CSN as a Preferred Source in Google.

    The post TamperedChef Malware as PDF Editor Harvest Browser Credentials and Allows Backdoor Access appeared first on Cyber Security News.

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  • Google has introduced CodeMender, a new artificial intelligence-powered agent that automatically enhances software security by identifying and fixing vulnerabilities.

    This initiative addresses the growing gap between the rapid, AI-assisted discovery of security flaws and the time-consuming manual effort required to patch them.

    Leveraging advanced AI, CodeMender not only reacts to new threats but also proactively rewrites existing code to eliminate entire classes of vulnerabilities.

    In its initial six months, the project has already contributed 72 security fixes to various open-source projects, some with codebases as large as 4.5 million lines.

    The development comes as AI tools like Google’s own Big Sleep and OSS-Fuzz accelerate the discovery of zero-day vulnerabilities, creating a volume of fixes that is becoming difficult for human developers to manage alone.

    AI Agent CodeMender

    CodeMender operates as an autonomous agent powered by Google’s Gemini Deep Think models. It is equipped with a suite of sophisticated tools that allow it to reason about software, debug complex issues, and validate its own changes.

    This ensures that any proposed patch is correct and does not introduce new problems or regressions. The agent’s comprehensive approach combines reactive patching of new vulnerabilities with proactive rewriting of code to adopt more secure practices.

    To identify the true origin of a security flaw, CodeMender employs advanced program analysis techniques, including static and dynamic analysis, fuzzing, and differential testing.

    For instance, in one case involving a heap buffer overflow crash, the agent looked beyond the immediate error and identified the root cause as an incorrect stack management of XML elements during parsing.

    It then devised an effective patch. The system also uses specialized multi-agent systems, including an LLM-based critique tool that analyzes code modifications to prevent regressions and enables the agent to self-correct.

    Beyond fixing individual bugs, CodeMender is designed to proactively harden codebases against future attacks. In one significant application, the agent was deployed to the widely used libwebp image compression library.

    It systematically applied -fbounds-safety annotations, a security feature that adds bounds checks to code. According to Google, this single measure would have rendered the notorious libwebp vulnerability (CVE-2023-4863), which was used in a zero-click iOS exploit, unexploitable.

    While the early results are promising, Google is proceeding with caution, ensuring every AI-generated patch is reviewed by human researchers before being submitted.

    The company is gradually increasing its outreach to maintainers of critical open-source projects to offer CodeMender-generated patches and gather feedback.

    The ultimate goal is to refine the system and release it as a public tool for all software developers. This marks a significant step in utilizing AI to enhance software security for everyone. Google plans to share more details in technical papers and reports in the coming months.

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    The post Google’s New AI Agent, CodeMender, Automatically Rewrites Vulnerable Code appeared first on Cyber Security News.

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  • ClamAV 1.5.0 is now available with new features that strengthen malware detection in Microsoft Office and PDF documents. This update marks a significant step forward for users who need reliable and thorough scanning of encrypted files and embedded links. Alongside improved file checks, the release also adds support for external signature verification, flexible hashing options, […]

    The post ClamAV 1.5.0 Released with Enhanced MS Office and PDF File Verification appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

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  • The rapid adoption of generative AI (GenAI), especially large language model (LLM) chatbots, has revolutionized customer engagement by delivering unparalleled efficiency and personalization. Yet, with this transformative power comes an equally formidable risk: adversaries are increasingly weaponizing AI applications to gain unauthorized access to critical systems. A compromised chatbot can morph from a helpful assistant […]

    The post AI Chatbot Exploited as a Backdoor to Access Sensitive Data and Infrastructure appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

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  • OpenAI has taken decisive action to stop misuse of its ChatGPT models by banning accounts tied to a group of Chinese hackers. This move reflects OpenAI’s core aim to ensuring artificial general intelligence benefits everyone. By setting clear rules and acting swiftly on policy violations, OpenAI hopes to keep AI tools safe and accessible for […]

    The post OpenAI Blocks ChatGPT Accounts Linked to Chinese Hackers Developing Malware appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

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