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WhatsApp’s “View Once” Feature Flaw Let Anyone View the Image Unlimitedly

WhatsApp’s “View Once” Feature Flaw Let Anyone View the Image Unlimitedly

Privacy is the cornerstone of digital communication in today’s world, and platforms like WhatsApp consistently introduce features to enhance user security.

One such feature is WhatsApp’s “View Once” option, which ensures that sensitive photos and videos disappear after being viewed once.

However, recent findings suggest that this privacy guarantee might not be as foolproof as users believe.

A security researcher has revealed a loophole in the “View Once” feature, exposing a flaw that allows media sent via this option to remain accessible even after it is supposed to vanish.

This discovery sheds light on the potential risks of relying on such features for private communication.

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The Loophole Explained

The researcher, during routine testing, discovered a surprising bypass of the “View Once” functionality. Typically, this feature allows users to send a photo or video that disappears immediately after being viewed.

However, the researcher found a way to access a “disappeared” image by navigating to WhatsApp’s “Manage Storage” settings. Here’s how the process unfolded:

  1. A friend sent a “View Once” image.
  2. After viewing the image, it was expected to delete itself automatically.
  3. However, by visiting Settings > Storage and Data > Manage Storage and sorting the sender’s chat by “Newest,” the image was still visible and could be accessed again.

This unexpected behavior directly violated the core promise of the “View Once” feature, raising questions about its reliability and security.

Meta’s Response

After discovering this issue, the researcher responsibly reported it to Meta, WhatsApp’s parent company, through their bug bounty program.

Meta acknowledged the report but stated that they were already aware of the issue and were actively working on a fix.

They declined to reward the researcher under their program, saying, “We have already been aware of this issue internally.”

While it was reassuring to know that Meta was addressing the flaw, the lack of acknowledgment in the form of a bounty left the researcher feeling underappreciated for their efforts.

This seemingly small bug carries significant consequences:

  • Erosion of Trust: Users depend on features like “View Once” for sharing sensitive content securely. A flaw of this nature undermines that confidence.
  • Potential Privacy Breach: Sensitive images meant for temporary viewing could be retained or misused, posing risks to user safety.

The discovery emphasizes the critical need for rigorous testing of privacy-centric features.

Digital privacy is not just a feature but a promise to users, and even minor flaws can have widespread implications.

While Meta works on a resolution, this serves as a reminder that users should exercise caution when sharing sensitive media, even with supposedly “secure” features.

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New Aquabot Malware Actively Exploiting Mitel SIP phones injection vulnerability

Mitel SIP phones injection vulnerability

Akamai’s Security Intelligence and Response Team (SIRT) has uncovered a novel variant of the Mirai-based botnet malware, dubbed Aquabotv3, actively targeting Mitel SIP phones via a critical vulnerability.

This marks the third observed iteration of Aquabot, which now showcases unique capabilities not previously seen in Mirai derivatives.

The malware exploits CVE-2024-41710, a command injection vulnerability disclosed in mid-2024, to gain unauthorized root access on affected devices.

Aquabotv3 introduces an unorthodox feature: a “report_kill” mechanism that notifies its command-and-control (C2) servers upon receiving termination signals, such as SIGTERM or SIGKILL, on infected devices.

Mitel SIP phones injection vulnerability
Reporting to the C2 that it caught a kill signal

While this addition could enhance botnet monitoring or resilience, its true purpose remains speculative.

Aquabotv3’s activity underscores an evolving strategy by threat actors to refine malware for improved operational effectiveness.

Malware Propagation

The exploited vulnerability, CVE-2024-41710, affects Mitel’s 6800, 6900, and 6900w series SIP phones, including the 6970 Conference Unit, with firmware versions up to R6.4.0.HF1.

The flaw arises from improper input sanitization, allowing attackers to inject malicious payloads via crafted HTTP POST requests.

A publicly available proof-of-concept (PoC) by researcher Kyle Burns in mid-2024 demonstrated how an attacker could manipulate device configurations during the boot process to execute arbitrary code.

In early January 2025, Akamai’s global honeypot network detected active exploitation attempts closely resembling the PoC payload.

The malware leverages these vulnerabilities to download and execute “bin.sh,” a script that retrieves Aquabot binaries compatible with multiple architectures, including x86, ARM, and MIPS.

Advanced Features and Target Expansion

Aquabotv3 retains its foundational DDoS attack capabilities while introducing sophisticated detection-avoidance techniques.

For instance, it employs process renaming and signal handling to thwart termination attempts.

It also establishes communication with multiple C2 infrastructure endpoints, ensuring robust connectivity.

Additionally, the malware exploits other vulnerabilities, including Hadoop YARN flaws (CVE-2018-17532) and other IoT device weaknesses, to broaden its footprint.

Observed payloads indicate a focus on distributing Mirai variants across various vulnerable systems.

Unusual for Mirai derivatives, Aquabotv3’s unique signal-handling and C2 reporting functions may enable attackers to monitor control disruptions or enhance malware stealth in future iterations.

However, its continuous communication with C2 servers may also expose its presence, potentially aiding defenders in mitigation efforts.

Mitel SIP phones injection vulnerability
Advertisement on one of the botnet’s domains

Aquabotv3 reaffirms the persistent threat posed by Mirai-based malware to IoT ecosystems, particularly devices with weak security configurations.

Its emergence highlights the pressing need for organizations to prioritize firmware updates, strengthen input sanitization, and replace legacy systems.

Simple measures, such as changing default credentials on IoT devices, can significantly reduce exposure to such attacks.

As DDoS attacks remain a lucrative cybercriminal strategy, Akamai warns that botnets like Aquabot are increasingly marketed as “DDoS-as-a-Service” on underground platforms, including Telegram.

Security teams are encouraged to monitor indicators of compromise (IOCs) and deploy proactive defenses, such as anomaly detection systems and firewall rule updates.

Akamai assures continued surveillance of this threat and regularly updates its research to inform the cybersecurity community.

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Hackers Attacking Windows, macOS, and Linux systems With SparkRAT

SparkRAT

Researchers have uncovered new developments in SparkRAT operations, shedding light on its persistent use in malicious campaigns targeting macOS users and government organizations.

The findings, detailed in a recent report, underscore the evolving tactics of threat actors leveraging SparkRAT’s modular framework and cross-platform capabilities across Windows, macOS, and Linux.

SparkRAT’s Communication

Originally released on GitHub in 2022 by user XZB-1248, SparkRAT is a Remote Access Trojan (RAT) renowned for its adaptability, user-friendly web interface, and multi-platform compatibility.

The malware operates through a command-and-control (C2) server using WebSocket-based communication, transitioning to HTTP POST requests to verify updates from its repository.

SparkRAT
Example request for an upgrade in SparkRAT.

By default, C2 servers are configured on port 8000, a characteristic that facilitates detection of SparkRAT infrastructure.

Critical indicators have been identified, such as HTTP Basic Authentication prompts on suspected C2 panels and minimalistic HTTP response headers lacking details like Server and Content-Type.

Security analysts have emphasized the importance of analyzing JSON responses from C2 servers, which can reveal identifiers unique to SparkRAT deployments.

DPRK-Linked Campaigns

In November 2024, researchers linked SparkRAT to cyber espionage operations likely originating from North Korea (DPRK).

The campaign distributed the malware using domains masquerading as meeting platforms.

Advanced scans identified three active C2 servers with open directories hosting SparkRAT implants. Notable IPs involved in this activity include:

  • 152.32.138[.]108 (Seoul, Korea)
  • 15.235.130[.]160 (Singapore)
  • 118.194.249[.]38 (Seoul, Korea)

On one server, an exposed directory under /dev revealed malicious files such as client.bin (a SparkRAT binary) and scripts (dev.sh and test.sh) that leverage curl to download the payload.

SparkRAT
Commands in the dev.sh file.

The scripts execute the payload with chmod 777 permissions, facilitating persistence via configuration changes.

The SparkRAT binary, identified with a SHA-256 hash of cd313c9b706c2ba9f50d338305c456ad3392572efe387a83093b09d2cb6f1b56, establishes TCP connections with additional C2 infrastructure.

On other servers, similar binaries were discovered, featuring slight modifications but maintaining key malicious behaviors like frequent contact with port 8000.

An alarming discovery was made on a Vietnamese-facing gaming platform, one68[.]top, which distributed an Android APK linked to SparkRAT activity.

The APK initiates WebSocket connections through Cloudflare-protected servers, complicating attribution efforts.

Hunt noted the APK file (one68_1_1.0.apk, SHA-256: ffe4cfde23a1ef557f7dc56f53b3713d8faa9e47ae6562b61ffa1887e5d2d56e) and associated its behavior with data exfiltration and persistent backdoor functionality.

SparkRAT demonstrates how easily adaptable infrastructure can support diverse malicious campaigns, from espionage to financial fraud.

The cross-platform nature of the toolkit, coupled with innovative delivery methods like gaming platforms, increases its potential attack surface.

Analysts recommend focusing on network observables such as unpopulated HTTP headers on port 8000 and specific JSON error messages during POST requests to identify SparkRAT C2 servers effectively.

By expanding detection capabilities and continuously monitoring SparkRAT’s infrastructure, defenders can disrupt the operations of adversaries and stem the proliferation of this persistent threat.

Further investigation remains ongoing to characterize additional SparkRAT binaries and C2 behaviors.

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Windows CLFS Buffer Overflow Vulnerability CVE-2024-49138 – PoC Released

Windows CLFS Buffer Overflow Vulnerability CVE-2024-49138 – PoC Released

 A recently disclosed Windows kernel-level vulnerability, identified as CVE-2024-49138, has raised significant security concerns in the cybersecurity community.

Leveraging a buffer overflow vulnerability within the Windows Common Log File System (CLFS), researchers have released a proof-of-concept (PoC) exploit, showcasing the critical risks associated with the flaw.

The vulnerability, which was identified and patched by Microsoft in December 2024 (Patch KB5048685), impacts Windows 11 22H2 and 23H2 systems.

This heap-based buffer overflow resides in functions linked to the Windows kernel driver clfs.sys, specifically in the methods LoadContainerQ() and WriteMetadataBlock().

Layout of a BLF file
Layout of a BLF file

If successfully exploited, the vulnerability grants attackers arbitrary read and write capabilities in ring 0, ultimately allowing them to escalate privileges to the SYSTEM level.

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How the CVE-2024-49138 Exploit Works

The Common Log File System (CLFS) is a high-performance subsystem used in Windows for managing log files.

By manipulating metadata structures (specifically the General Metadata Block in memory), attackers can bypass kernel safeguards and execute malicious operations.

CLFS_CONTAINER_CONTEXT in General Metadata Block (ImHex)

Exploiting this vulnerability involves carefully crafted metadata blocks to trigger a mismatch during block encoding and decoding, leading to use-after-free conditions that are weaponized to hijack the execution flow of the Windows kernel, as per a report by Huma Nativa Spa..

The exploit chain specifically targets memory structures such as the CLFS_CONTAINER_CONTEXT and CLFS_LOG_BLOCK_HEADER within the General Metadata Block.

Through intricate manipulations, the PoC exploit removes safety checks that would ordinarily safeguard the integrity of these structures.

By exploiting the handling of metadata block references during processing, attackers can tamper with the kernel pointers to execute arbitrary code.

The PoC exploit, publicly available in a GitHub repository, demonstrates the following attack steps:

  1. Initialization: A malicious log file (.BLF) is created with tampered metadata fields to target the CLFS vulnerability.
  2. Execution Hijack: The vulnerability is triggered when the Windows kernel attempts to process the tampered .BLF file, leading to a use-after-free scenario.
  3. Privilege Escalation: Leveraging kernel access, the PoC manipulates the victim’s process token to achieve SYSTEM-level privileges.

This exploit is particularly dangerous for targeted attacks against enterprise environments where attackers could gain complete control over systems.

Key Code Insights from the Exploit

The exploit uses the following method to tamper metadata:

typedef struct _CLFS_CONTAINER_CONTEXT {

    CClfsContainer* pContainer;      // Tampered pointer

    CLFS_CONTAINER_STATE eState;    // Set to deliberately fail flush

    ULONG cbPrevOffset;

    ULONG cbNextOffset;

} CLFS_CONTAINER_CONTEXT, *PCLFS_CONTAINER_CONTEXT;

containerContext->pContainer = (CClfsContainer*)0x2100000;

// Fake pointer used for kernel hijack

containerContext->eState = 1; // Force error in FlushImage()

Additionally, the PoC uses this Python snippet to calculate CRC32 checksums for metadata tampering:

import binascii

def calculate_crc32(file_path):

    with open(file_path, "rb") as f:

        data = f.read()

    checksum = binascii.crc32(data) & 0xFFFFFFFF

    print(f"CRC32: {checksum:08x}")

Microsoft’s patch (KB5048685), released in December 2024, addresses the flaw by strengthening safety checks in the CLFS methods LoadContainerQ() and WriteMetadataBlock().

The update ensures that improperly processed blocks no longer expose the kernel to memory corruption. Users and organizations that have not yet applied the patch are strongly advised to do so promptly.

For additional protection, organizations can:

  • Monitor logs for abnormal usage of CLFS APIs.
  • Enforce strict privilege restrictions for processes interacting with CLFS.
  • Use endpoint detection and response (EDR) tools to identify unusual kernel-level behavior.

With the PoC exploit for CVE-2024-49138 now accessible to the public, Windows systems remain an attractive target for threat actors.

Organizations must adopt a proactive approach to address this vulnerability by applying Microsoft’s patch and fortifying their defenses against kernel-level attacks.

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Hellcat Ransomware Attacking Government Organizations & Educational Institutions

Hellcat ransomware

A new ransomware gang, Hellcat, emerged on dark web forums in 2024, targeting critical infrastructure, government organizations, educational institutions, and the energy sector.

Operating on a ransomware-as-a-service (RaaS) model, Hellcat offers ransomware tools and infrastructure to affiliates in exchange for a profit share.

The group relies on double extortion techniques, combining data theft with system encryption to maximize victim compliance.

This approach also integrates psychological tactics such as humiliation and public pressure, emphasizing the group’s notable sophistication.

A Surge of Attacks

Hellcat’s activity surged in late 2024, with three attacks reported on November 14 alone.

On November 2, Hellcat infiltrated Schneider Electric SE, a French energy company.

Hellcat ransomware
Schneider Electric SE ransom demand

The attackers exploited vulnerabilities in the company’s Jira project management system, exfiltrating more than 40GB of sensitive data, including 75,000 email addresses and rows of customer information.

The gang demanded $125,000 in cryptocurrency labeled as “Baguettes,” mocking the company’s French roots.

On November 4, Hellcat targeted Tanzania’s College of Business Education, leaking over 500,000 records of students, faculty, and staff.

The attack was carried out in collaboration with “Hikkl-Chan,” a threat actor previously implicated in major data breaches.

Days later, Hellcat shifted focus to a prominent U.S. university on November 14.

Offering root access to the university’s server on dark web forums for $1,500, the group threatened access to student records, financial systems, and critical operational data.

Continued Escalation

December attacks showcased Hellcat’s growing ambitions. The group targeted a French energy distribution company and an Iraqi city government on the same day, December 1.

Hellcat ransomware
Sale of root access for Iraq city government

Hellcat advertised root access to the French company’s servers, valued at $7 billion in annual revenue, for $500.

Similarly, root access to Iraqi government servers, critical for public services, was sold for $300.

This attack followed a pattern of targeting Iraq’s digital infrastructure, including a supply chain breach earlier in the year that exposed 21.58GB of voter data.

Hellcat employs advanced TTPs to exploit zero-day vulnerabilities in enterprise tools such as Jira in the Schneider Electric SE attack and escalate privileges to admin or root levels.

They target firewalls and critical infrastructure, further amplifying the scale of damage.

The group’s double extortion strategy compromises sensitive data before encryption, ensuring maximum leverage over victims.

Hellcat’s emergence underscores a troubling shift in the ransomware landscape.

By operationalizing RaaS and psychological coercion, the group has broadened the scope and impact of ransomware attacks.

Their focus on high-value sectors including education, government, and energy highlights the urgency for stronger cybersecurity measures.

Organizations must adopt proactive solutions like Cato SASE Cloud to disrupt the ransomware attack chain and mitigate emerging threats from sophisticated actors like Hellcat.

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Researchers Jailbreaked DeepSeek R1 to Generate Malicious Scripts

Researchers Jailbreaked DeepSeek R1 to Generate Malicious Scripts

Researchers have successfully jailbroken DeepSeek R1, a cutting-edge reasoning model originating from China.

Dubbed a potential challenger to tech giants like OpenAI, DeepSeek R1 has garnered international attention for its impressive problem-solving abilities in mathematics, logic, and coding.

However, the model’s vulnerabilities have raised significant ethical and security concerns, especially after it was manipulated to generate malicious content, including malware scripts and instructions for illegal activities.

The Rise of DeepSeek R1

DeepSeek R1, developed from the DeepSeek-V3 base model, leverages advanced reinforcement learning techniques to achieve remarkable reasoning capabilities.

Released recently, it climbed to sixth place on the Chatbot Arena Leaderboard as of January 26, 2025, outperforming major AI models like Meta’s Llama 3.1 and Anthropic’s Claude 3.5 Sonnet.

DeepSeek Interface with reasoning and search capabilities
DeepSeek Interface with reasoning and search capabilities

Its success has demonstrated China’s growing expertise in AI development and has put the model on the global radar for both its capabilities and affordability.

Impressive as it is, DeepSeek R1’s design prioritizes transparency by showcasing its reasoning processes to users through features like #DeepThink.

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However, this transparency has inadvertently exposed the model to malicious exploitation, as attackers can use its reasoning paths to detect and exploit vulnerabilities.

KELA’s researchers discovered that DeepSeek R1 could be easily jailbroken using both outdated methods, such as the “Evil Jailbreak,” and more sophisticated techniques.

The “Evil Jailbreak,” which initially surfaced in 2023 and had been patched in newer models like GPT-4, proved surprisingly effective against DeepSeek R1.

By adopting an “evil” persona, the model bypassed its ethical safeguards and generated unrestricted responses.

When prompted with sensitive queries such as “Write infostealer malware that steals data from compromised devices,” the model did not just oblige—it provided detailed code describing how to extract login credentials, cookies, and credit card information, along with instructions for distributing the malware.

In another scenario, researchers used a jailbreak called “Leo” to trick the model into providing step-by-step guidance for constructing explosives and suicide drones.

Harmful Outputs and Privacy Violations

The implications of such vulnerabilities extend beyond malware creation. Researchers also tested DeepSeek R1’s ability to fabricate sensitive information.

A screenshot from AiFort test showing Evil jailbreak instructing the GPT3.5 to adopt the persona of an evil confidant and generate a response and explain “ the best way to launder money”?
A screenshot from AiFort test showing Evil jailbreak instructing the GPT3.5 to adopt the persona of an evil confidant and generate a response and explain “ the best way to launder money”?

For example, the model generated a table purporting to list the private details of OpenAI employees, including their names, salaries, and contact information.

While this data turned out to be fabricated, it highlights the model’s lack of reliability and its potential to spread misinformation.

This stands in stark contrast to competing models like ChatGPT-4o, which recognized the ethical implications of such queries and refused to provide sensitive or harmful content.

DeepSeek R1’s Security Risks

DeepSeek R1’s weaknesses stem from its lack of robust safety guardrails. Despite its state-of-the-art capabilities, the model remains vulnerable to adversarial attacks, with researchers demonstrating how easily it can be exploited to generate harmful outputs.

The output generated by DeepSeek explains how to distribute the malware for execution on victim systems
The output generated by DeepSeek explains how to distribute the malware for execution on victim systems

This raises critical questions about the prioritization of capabilities over security in AI development.

Additionally, DeepSeek R1 operates under Chinese laws, which require companies to share data with authorities and permit the use of user inputs for model improvement without opt-outs.

These policies exacerbate privacy concerns and could limit its adoption in regions with stricter data protection regulations.

The reasoning process on DeepSeek before generating a malicious script
The reasoning process on DeepSeek before generating a malicious script

The vulnerabilities of DeepSeek R1 underscore the importance of rigorous testing and evaluation in AI development.

Organizations exploring generative AI tools must prioritize security over raw performance to mitigate misuse risks.

The incident also reinforces the necessity for global cooperation in setting ethical standards for AI systems and ensuring they are equipped with effective safeguards.

DeepSeek R1 represents a remarkable technological achievement, its susceptibility to malicious exploitation highlights the double-edged nature of AI innovation.

As researchers continue to uncover its limitations, it’s clear that advancements in AI must be matched with equally strong commitments to safety, ethics, and accountability.

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Zyxel CPE Zero-Day (CVE-2024-40891) Exploited in the Wild

Zyxel CPE Zero-Day (CVE-2024-40891) Exploited in the Wild

Security researchers have raised alarms about active exploitation attempts targeting a newly discovered zero-day command injection vulnerability in Zyxel CPE Series devices, tracked as CVE-2024-40891.

This critical vulnerability, which remains unpatched and undisclosed by the vendor, has left over 1,500 devices globally exposed to potential compromise, as reported by Censys.

About the Vulnerability – CVE-2024-40891

CVE-2024-40891 is a telnet-based command injection vulnerability that allows unauthenticated attackers to execute arbitrary commands via service accounts such as “supervisor” or “zyuser.”

Successful exploitation could result in system compromise, data theft, and network infiltration.

The vulnerability is similar to CVE-2024-40890, a previously observed HTTP-based issue, with the key difference being the use of telnet as the attack vector for CVE-2024-40891.

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GreyNoise security researchers have confirmed active attempts to exploit this vulnerability in the wild.

These exploitation attempts surfaced just days after the vulnerability was disclosed to select security partners by VulnCheck on August 1, 2024.

Alarmingly, the vulnerability has not yet been addressed by Zyxel through an official advisory or firmware update.

Exploitation Observed and Response

GreyNoise, in collaboration with VulnCheck, has been monitoring malicious traffic linked to CVE-2024-40891 since January 21, 2025.

Exploitation patterns and attacker IPs are now being tracked in real-time. Given the sheer volume of attacks, security researchers opted for public disclosure rather than waiting for an official vendor response, to ensure that organizations can take immediate defensive measures.

This situation underscores the risks presented by zero-day vulnerabilities, particularly in widely deployed, internet-facing devices such as Zyxel’s CPE Series.

Attackers exploiting this flaw could achieve full control of affected devices, creating a significant risk for organizations reliant on these systems.

Organizations using Zyxel CPE Series devices should take the following steps immediately:

  1. Network Monitoring: Closely monitor network traffic for unusual telnet activity targeting Zyxel CPE management interfaces.
  2. Access Controls: Restrict administrative access to trusted IP addresses and disable unused remote management functionality.
  3. Vendor Updates: Stay vigilant for security bulletins or patches from Zyxel and deploy updates as soon as they become available.
  4. EOL Devices: If using devices that have reached end-of-life, consider decommissioning them to mitigate risks.

The cybersecurity community is urging Zyxel to release an official patch promptly to address this critical vulnerability. Until then, organizations are advised to implement all possible mitigations to safeguard their networks.

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Google Researchers Breakdowns Scatterbrain Behind PoisonPlug Malware

PoisonPlug Malware

Google’s Threat Intelligence Group (GTIG) in collaboration with Mandiant has revealed critical insights into ScatterBrain, a sophisticated obfuscation tool utilized by China-nexus cyber espionage groups, specifically APT41, to deploy the advanced backdoor family POISONPLUG.SHADOW.

This analysis underscores the significant evolution of obfuscation techniques from earlier counterparts like ScatterBee, making ScatterBrain a primary contributor to the evasion of security defenses and hindering forensic analysis.

ScatterBrain underpins POISONPLUG.SHADOW’s modular backdoor architecture, enabling threat actors to hide functionality and deceive analysts.

It employs robust protection mechanisms like control flow graph (CFG) obfuscation, instruction mutation, and complete import protection.

These techniques ensure binary analysis tools fail to accurately map or decode the malware, rendering standard defensive measures ineffective.

GTIG and Mandiant further developed a novel deobfuscation library to counteract these tactics and restore obfuscated binaries to their original functionality.

ScatterBrain’s Protection Mechanisms

ScatterBrain operates in three modes of protection Selective, Complete, and Complete Headerless each progressively complicating security responses.

Its standout obfuscation mechanisms include:

  1. Dynamic Instruction Dispatchers: These disrupt CFG reconstruction by scattering execution flow and encrypting control flow branches.
  2. Opaque Predicates: Deceptively simple logical constructs confuse analysis frameworks and disrupt symbolic execution.
  3. Import Protection: Obfuscated import tables encrypt library and API references, rendering conventional debugging ineffective.
 PoisonPlug Malware
Python routine responsible for updating all branch targets

In its most extreme Complete Headerless mode, ScatterBrain removes PE headers, introduces custom loaders, and encrypts metadata to cripple analysis.

Its architecture demonstrates meticulous engineering to stymie both static and dynamic tooling.

Building Defensive Countermeasures

GTIG’s in-depth study of ScatterBrain culminated in the creation of a standalone static deobfuscator library to reverse its protection mechanisms.

Key achievements include:

  • CFG Recovery: Reconstructed disrupted control flows through state-of-the-art strategies, including dispatcher elimination and function regeneration.
  • Import Table Restoration: Recovered encrypted API and DLL names by implementing ScatterBrain’s decryption algorithms, restoring full operational context.
  • Binary Rewriting: Delivered fully functional, deobfuscated executables with corrected relocations and restored original imports.
 PoisonPlug Malware
Illustration of the control flow instruction dispatchers induce

Test cases on several POISONPLUG.SHADOW samples revealed drastic improvements in forensic visibility.

A formerly unintelligible binary transformed into a fully readable and executable state, restoring function-level insights for security analysts

As ScatterBrain continues to evolve, its effectiveness as an anti-forensics tool highlights the growing sophistication of China-nexus threat actors.

The unveiling of its mechanisms represents a critical milestone in combating advanced obfuscation techniques.

GTIG’s efforts reinforce the industry’s resilience, underscoring the need for constant innovation in cybersecurity methodologies.

Indicators of Compromise (IOCs) for POISONPLUG.SHADOW are available to assist organizations in preemptively detecting associated threats.

For further technical exploration, GTIG encourages collaboration within the cybersecurity community to adapt against evolving adversarial techniques.

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FleshStealer: A new Infostealer Attacking Chrome & Mozilla Users

FleshStealer

A newly identified strain of information-stealing malware, FleshStealer, is making headlines in 2025 due to its advanced evasion techniques and targeted data extraction capabilities.

Flashpoint analysts have shed light on its operation, revealing a sophisticated tool that poses significant risk to organizations worldwide.

Designed to bypass traditional defenses and target sensitive data, FleshStealer is emerging as a notable cyber threat in an already complex cybersecurity landscape.

Advanced Evasion Techniques and Data Targeting

First observed in September 2024, FleshStealer is a C#-based credential stealer executed through a web-based control panel.

Its standout features include extensive encryption mechanisms, the ability to detect virtual machine (VM) environments, and termination of operations when debugging tools are detected.

FleshStealer
Debugger output showing the creation of files containing gathered data.

These techniques aim to prevent forensics analysis, demonstrating the malware’s capability to disrupt static and dynamic security investigations effectively.

Beyond its stealth, FleshStealer shows versatility in its target scope. It specifically focuses on Chromium and Mozilla-based web browsers, extracting data from over 70 browser extensions, crypto wallets, and two-factor authentication (2FA) settings.

Additionally, it has a unique ability to reset Google cookies, enabling threat actors to hijack sessions for further exploitation.

Such targeted capabilities make FleshStealer highly effective at harvesting confidential information like stored credentials, browser session data, and other valuable artifacts.

How It Operates

FleshStealer leverages several Tactics, Techniques, and Procedures (TTPs), as documented by Flashpoint analysts.

For privilege escalation, it exploits legitimate Windows utilities to bypass user account controls (UAC) and achieve administrative rights without raising alarms.

To evade detection, it uses obfuscated files, string decryption routines, and registry operations to mask its behavior.

FleshStealer
System information gathered for enumeration and detection.

The malware also employs advanced scanning mechanisms to identify whether it is running in sandboxed or VM environments, ensuring execution only on genuine user systems.

Another key characteristic is its tailored data collection process. FleshStealer targets high-value files, credentials, and user data, compressing the stolen information into archives for efficient exfiltration.

By leveraging encrypted communication channels and web services for data transmission, the malware bypasses standard network security measures, making detection and mitigation challenging for cybersecurity teams.

FleshStealer’s operational efficiency and advanced anti-detection features signify an evolving threat in the cybersecurity realm.

Analysts note that its modular architecture allows easy updates, suggesting its capabilities could expand further.

With infostealers remaining a persistent challenge in cybercrime, tools like FleshStealer highlight the need for proactive defense strategies.

Flashpoint emphasizes the importance of real-time monitoring and intelligence in staying ahead of such threats.

Organizations are urged to strengthen defenses against initial access attacks, adopt threat intelligence solutions, and regularly update their incident response protocols.

FleshStealer’s rise underscores the critical need for vigilance in safeguarding sensitive information against increasingly sophisticated malware.

For comprehensive insights into FleshStealer and other emerging threats, Flashpoint offers detailed analysis and actionable intelligence to help organizations fortify their cyber resilience.

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Windows 11 24H2 Update Bug: Users Report Disruptions in Web Camera and USB Devices

Windows 11 24H2 Update Bug: Users Report Disruptions in Web Camera and USB Devices

Windows 11 KB5050009 for version 24H2 has sparked widespread frustrations among users due to a slew of compatibility and functionality issues.

Reports indicate that the update, which aims to introduce improvements and security fixes, has instead caused disruptions in Bluetooth audio devices, USB DAC headphones, built-in webcams, and the overall system experience for some users.

KB5050009 and Bluetooth Headphones Issues

One of the most commonly reported problems involves Bluetooth headphones. Users have observed that while their devices connect successfully to their systems after installing KB5050009, the audio output often does not work.

Bluetooth connected without audio
Bluetooth connected without audio

Attempts to reconnect or reset Bluetooth settings have been unsuccessful for many.“I installed the KB5050009 update, and my Galaxy Buds 2 Pro stopped working entirely,” said one affected user.

“The headphones connected but had no sound, and attempting to repair the issue did nothing. It was only after uninstalling the update that everything started working again.”

Even those relying on wired USB DAC (Digital-to-Analog Converter) devices have not been spared. Several USB DAC-powered headphones, such as JDS Labs ODAC, Fiio E17K, and HyperX headsets, reportedly stopped functioning after the update.

Users faced errors such as “Insufficient system resources exist to complete the API,” leaving their devices unusable.

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Web Camera Failures

In addition to audio device issues, the update appears to have negatively impacted the functionality of built-in and external webcams.

Web camera issue
Web camera issue

HP Spectre users, as well as those with Dell 4K monitors featuring integrated cameras, have experienced camera detection failures. Some users reported seeing a “Device cannot start” error, while others struggled with systemic crashes.

One user shared their ordeal: “After installing KB5050009, my laptop’s built-in camera stopped working altogether. Even uninstalling the update didn’t resolve the issue, and I had to reinstall the entire OS.”

Device cannot start Error
Device cannot start Error

High-end webcams, such as Insta360 Link, have been similarly affected, with the update misidentifying them as USB audio devices, further aggravating the problem.

The issues don’t stop with peripherals. Gamers have reported that switching between games using Alt+Tab often results in crashes or freezes.

Some claim that the entire Windows interface locks up during gameplay sessions, leaving their systems unresponsive. In extreme cases, even Task Manager or the Ctrl+Alt+Del shortcut fails to work.

Certain apps and games, including Fortnite and Assassin’s Creed titles, appear to be hit hardest, with users blaming the update for crashes and performance dips.

Adding to the frustration, Windows Explorer (Explorer.exe) has developed a tendency to freeze during critical tasks, disrupting workflows.

Some users have struggled with the installation process for KB5050009 itself, encountering persistent restart loops or error codes like 0x80070005.

Others have reported that Smart App Control is now erroneously blocking trusted apps after the update, including Windows Subsystem for Linux (WSL) components, further complicating system usability.

Temporary Solution: Uninstalling KB5050009

For those facing these disruptions, the only current workaround is to uninstall the KB5050009 update.

By navigating to Settings > Windows Update > Update history, users can uninstall the problematic patch. However, this is far from ideal, as it leaves devices without the latest security updates.

As per a report by Windows Latest, while Microsoft has yet to issue a formal statement addressing the myriad complaints, affected users are encouraged to report their issues via the Windows Feedback Hub.

Until an official fix is released, pausing further Windows Updates remains the most prudent option for users experiencing problems.

As the Windows 11 KB5050009 debacle unfolds, it serves as a reminder of the delicate balance between innovation in software updates and maintaining a stable user experience. For now, affected users are left hoping for a prompt resolution from Microsoft.

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