Overview

The rapid evolution of generative artificial intelligence (AI) has introduced both opportunities and risks in the digital landscape. While AI-generated content can enhance creativity and efficiency, it also presents significant challenges related to misinformation, deepfakes, and digital content authenticity. In response, the concept of Content Credentials has emerged as a critical solution for maintaining transparency and trust in multimedia content.

The Rise of AI-Generated Content and Its Challenges

Generative AI tools allow users to create realistic images, videos, and audio clips with minimal effort. This accessibility has raised concerns about digital deception, particularly in cybersecurity, journalism, and law enforcement. Malicious actors can leverage AI-generated media for fraudulent activities, impersonation, and disinformation campaigns, eroding trust in online information.

Traditional verification methods, such as metadata analysis and forensic detection, are increasingly inadequate in detecting sophisticated AI-generated content. As a result, organizations and governments worldwide are seeking innovative solutions to establish content provenance and ensure media integrity.

What Are Content Credentials?

Content Credentials serve as a digital “nutrition label” for media, embedding cryptographically signed metadata that tracks the origin, authorship, and modifications of digital content. This metadata can be attached to images, videos, and other media at the point of creation or during post-processing.

The Coalition for Content Provenance and Authenticity (C2PA) has been at the forefront of developing Content Credentials as an open standard. Supported by major technology firms like Adobe, Microsoft, and Google, this initiative aims to enhance transparency and counteract the proliferation of deceptive content.

Durable Content Credentials to Enhance Media Integrity

To further strengthen digital provenance, Durable Content Credentials have added additional layers of security through:

• Digital Watermarking: Embedding invisible watermarks in media files to retain metadata even when content is altered or stripped of visible credentials.
• Media Fingerprinting: Creating a unique fingerprint for content that enables verification even if metadata is removed.

These mechanisms help ensure the persistence of Content Credentials, making them more resistant to tampering or erasure.

Use Cases of Content Credentials

The implementation of Content Credentials extends across multiple industries, including:

• Journalism: News organizations can use Content Credentials to verify the authenticity of images and videos, preventing the spread of doctored media.
• Cybersecurity: Organizations can track the origins of AI-generated media to mitigate the risks of deepfake attacks and impersonation fraud.
• Forensics and Law Enforcement: Digital evidence can be authenticated to maintain chain-of-custody integrity.
• Government and National Security: Authorities can use Content Credentials to combat foreign interference and disinformation campaigns.
• Artificial Intelligence and Data Science: AI models can be trained with verified data, reducing the risk of “model collapse” from synthetic data contamination.

The Global Push for Adoption

Governments and cybersecurity agencies worldwide are recognizing the importance of Content Credentials. The National Security Agency (NSA), Australian Signals Directorate (ASD), Canadian Centre for Cyber Security (CCCS), and United Kingdom’s National Cyber Security Centre (NCSC-UK) have jointly emphasized the need for widespread adoption of these technologies.

The European Union’s AI Act also mandates transparency measures for AI-generated content, reinforcing the importance of provenance tracking.

Preparing for a Future of Trusted Digital Content

Organizations looking to integrate Content Credentials should take proactive steps:

1. Upgrade Software and Hardware: Use cameras and editing software that support Content Credentials.
2. Implement Metadata Preservation Policies: Ensure that metadata remains intact throughout content creation and distribution.
3. Engage with Open Standards Initiatives: Join the C2PA community to stay informed about best practices and technological advancements.
4. Educate Stakeholders: Train employees and users on the importance of media provenance and how to verify Content Credentials.

Conclusion

As AI-generated content becomes more prevalent, the need for verifiable digital integrity has never been more urgent. Content Credentials offer a robust framework for establishing trust in digital media by providing transparent, verifiable information about content origins. By adopting and promoting these technologies, organizations, and individuals can help safeguard the integrity of digital ecosystems, ensuring a more trustworthy information landscape in the generative AI era.

References:

https://media.defense.gov/2025/Jan/29/2003634788/-1/-1/0/CSI-CONTENT-CREDENTIALS.PDF

The post UK, US Introduce “Content Credentials” Labeling to Counter Deepfakes, Misinformation in the Age of AI appeared first on Cyble.

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Cisco Talos’ Vulnerability Research team recently disclosed three vulnerabilities in Observium, three vulnerabilities in Offis, and four vulnerabilities in Whatsup Gold.   

These vulnerabilities exist in Observium, a network observation and monitoring system; Offis DCMTK, a collection of libraries and applications implementing DICOM (Digital Imaging and Communications in Medicine) standard formats; and WhatsUp Gold, an IT infrastructure management product.  

The vulnerabilities mentioned in this blog post have been patched by their respective vendors, all in adherence to Cisco’s third-party vulnerability disclosure policy.  

For Snort coverage that can detect the exploitation of these vulnerabilities, download the latest rule sets from Snort.org, and our latest Vulnerability Advisories are always posted on Talos Intelligence’s website.   

Observium Vulnerabilities  

Discovered by Marcin “Icewall” Noga.   

Two cross-site scripting vulnerabilities exist in Observium, which can lead to arbitrary JavaScript code execution, as well as one HTML code injection vulnerability. All three can be triggered by an authenticated user clicking a malicious link crafted by the attacker.  

• TALOS-2024-2090 (CVE-2024-47140) 
• TALOS-2024-2091 (CVE-2024-47002) 
• TALOS-2024-2092 (CVE-2024-45061) 

Offis Vulnerabilities  

Discovered by Emmanuel Tacheau.   

Three vulnerabilities were found in the Offis DCMTK libraries that support the DICOM standard format. TALOS-2024-1957 (CVE-2024-28130) is an incorrect type conversion vulnerability that can lead to arbitrary code execution, and TALOS-2024-2121 (CVE-2024-52333) and TALOS-2024-2122 (CVE-2024-47796) are improper array index validation vulnerabilities that can lead to out-of-bounds write capabilities. All can be triggered with specially crafted malicious DICOM files.  

Whatsup Gold Vulnerabilities  

Discovered by Marcin “Icewall” Noga.   

Two Whatsup Gold vulnerabilities include a risk of information disclosure (TALOS-2024-1932 (CVE-2024-5017) and TALOS-2024-2089 (CVE-2024-12105)), which can be triggered by an attacker making an authenticated HTTP request. 

There is also a risk of disclosure of sensitive information (TALOS-2024-1933 (CVE-2024-5010)), and denial of service (TALOS-2024-1934 (CVE-2024-5011)). These two vulnerabilities can be triggered by an attacker making an unauthenticated HTTP request. 

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Imagine: you’re calmly working away on your computer, when suddenly a scary message appears on the screen: “Your computer is infected with viruses! Install an antivirus immediately!” or “Your data is at risk! Clean your system immediately!” Panic? That’s what the scammers are hoping for.

This post explains what scareware is and why this threat is dangerous. We also give tips for avoiding falling for scarewarers’ tricks, and protecting you and your family from such attacks.

What is scareware?

Scareware is a type of digital fraud that weaponizes users’ fears. The aim is to frighten the victim into visiting a malicious site and downloading something they shouldn’t. Scareware usually mimics antiviruses, system optimizers, registry cleaners, and the like. But other, more exotic types also exist.

To display their alarming messages, scammers tend to deploy browser pop-up windows and notifications, banner ads, and on occasion even good-old email.

Scareware creators use a variety of social engineering tricks to instill a sense of danger in the user. Often, threatening messages appear at the most unexpected moment — catching the victim off guard.

And scammers frequently hurry the victim into taking rash actions — not giving them time to think things over. Then, when the target has been properly prepared (that is, put into a state of panic), the attackers offer a simple solution to the problem: just install such-and-such software and all your troubles will be gone.

Upon receiving a scareware notification, in the best case scenario the victim will install a useless but harmless program on their device and pay a relatively small sum for the pleasure. But sometimes an attack can have more serious consequences. Under the guise of an “antivirus” or “system optimizer”, the victim may be fed proper malware that encrypts data or steals money from online bank accounts.

Sextortion scareware

Sometimes scammers employ a hybrid scheme: scareware combined with sextortion. It may go as follows: the user receives an intimidating email saying they’ve been caught in a compromising video.

To see for themselves, the victim is invited to visit a website where they can watch the footage. However, to view the video, they first need to install a special player. This, of course, is malware in disguise.

Faulty screen caused by a virus

In a new variant of the scareware scheme, the user is told that a virus has infected their smartphone. Nothing unusual so far — mobile versions of scareware have been around for ages. Here, however, the focus is artfully placed on what perhaps all smartphone owners fear the most: a faulty screen:

Curiously, the “faulty” display — which also blinks for added alarm — is capable of clearly showing the message about the supposed virus infection. How this window is able to float above a damaged screen is a mystery… To “fix” the screen, you just need to tap the button in the box and purchase the offered “antivirus”.

How to protect against scareware

Of course, the best defense against fake “protection” is the real thing. To defeat scareware, install a bona fide antivirus from a reputable developer, keep a close eye on its notifications, and always heed its recommendations.

Also bear in mind that it’s seniors who are most likely to fall victim. So it’s worth helping your older relatives get the right protection since it can be a challenge for them.

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Our cyber threat analysts detected and explored a number of malware campaigns this January. Here are the three most dangerous attacks dissected with the aid of ANY.RUN’s Interactive Sandbox and Threat Intelligence Lookup. 

Fake YouTube links redirect users to phishing pages 

Original post on X 

Using the Uniform Resource Identifier authority (URI), phishers obfuscate links and place a legitimate resource address, like http://youtube, at the beginning of URLs to deceive users and make the link appear authentic and safe.   

Not just YouTube is getting abused. We’ll keep monitoring and sharing the details with you, so your company can make effective decisions to address the threat. 

Watch how the attack unveils in our Interactive Sandbox and gather IOCs for setting up your security systems. 
 
View analysis

Use this search request in TI Lookup to find more sandbox sessions and enforce the protection of your business by fine-tuning malware detection in your network:  
 
commandLine:”youtube.com%” 

• Technically, the URI Scheme replaces the userinfo field (user:pass) with a domain name: foo:// <user:pass> @ domain . Zone. 

• Storm 1747 domain infrastructure — checkers, redirectors and main pages — has a standard template for Tycoon 2FA phishkit installed.  

• The technique of replacing user info is also employed by various other phishing kits, such as Mamba 2FA and EvilProxy. 

To study the behavior and indicators of all these malware samples, use ANY.RUN’s Interactive Sandbox.  

Phishers use fake online shops with surveys to steal credit card information 

Original post on X 

The new phishing scheme we named FoxWhoops targets American e-commerce customers with fake sites promising a reward for completing a survey 

The attack utilizes a system of checks. Users who fail them are sent to a Fox News RSS page or a page with a ‘Whoops!’ image. Those who pass the checks are offered to enter their bank card info to purchase the ‘reward’ at a discount.  

 
A number of examples of such attacks have been submitted in our sandbox:  

• Fake Market 

• FoxNews RSS 

• Whoops! 

Checks and redirects:  

1. A script detects scanning by Google, Bing, Baidu, DuckDuckGo, etc.
2. If the first check is passed, the script triggers a redirect 
3. If the second check is passed, the user is redirected to a phishing page with a fake online shop payment form 
4. If the first check fails, the user is redirected to a Fox News RSS feed  
5. If the second check fails, the ‘Whoops’ page is displayed.  

Possible attack scenarios based on these steps:

• Phishing scenario: 1 → 2 → 3. A phishing survey with a ‘reward’ after a small payment in a fake store. Credit card info stolen. 
• Evasion scenario: 1 → 4. If the victim fails the first check, they are redirected to what appears to be a Fox News RSS feed. The URL includes a ‘q’ parameter that specifies the reason for the redirect, such as:  “IP provider is blacklisted! ASN-CXA-ALL-CCI-22773-RDC“. 
• Placeholder scenario: 1 → 2 → 5. Users are shown a placeholder page.  

Examine the attack’s mechanics to facilitate employee security training in your organization and prevent social engineering attempts with ANY.RUN’s Sandbox! 

A SystemBC client is targeting Linux-based platforms

Original post on X 

The Linux version of SystemBC proxy implant is potentially designed for internal corporate services. It is commonly used to target corporate networks, cloud servers, and even IoT devices. 

This Remote Access Trojan is designed to maintain encrypted communication with C2 servers, using the same custom protocol, ensuring connection to a unified infrastructure of both Windows and Linux implants.   

A proxy implant within a victim’s infrastructure is a crucial tool for attackers, allowing for lateral movement and pivoting without deploying additional detectable tools, further evading detection on the host. 

This version is more stealthy and far more dangerous. Samples do not have clear family detection by security vendors. 

Take a look at the Linux version analysis in the sandbox:  

To respond effectively, use ANY.RUN’s Linux virtual machine and quickly detect malicious communication with in-depth network traffic insights, powered by advanced Suricata rules from our experts. 

Conclusion 

The cyber threat landscape this January was marked by sophisticated and varied attack strategies targeting individuals and organizations alike. From phishing schemes exploiting trusted platforms to deceptive fake online shops, hackers demonstrated increasing ingenuity and adaptability. 

Organizations must remain vigilant and proactive by leveraging tools such as ANY.RUN’s Interactive Sandbox and Threat Intelligence Lookup to identify and analyze threats in real time. Staying informed and prepared is the key to safeguarding critical assets in this ever-changing digital battlefield. 

About ANY.RUN

ANY.RUN helps more than 500,000 cybersecurity professionals worldwide. Our interactive sandbox simplifies malware analysis of threats that target both Windows and Linux systems. Our threat intelligence products, TI Lookup, YARA Search, and Feeds, help you find IOCs or files to learn more about the threats and respond to incidents faster.

Request free trial of ANY.RUN’s services → 

The post 3 Major Cyber Attacks in January 2025 appeared first on ANY.RUN’s Cybersecurity Blog.

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Ransomware attacks have become a relentless threat to the healthcare sector, exposing sensitive patient data, disrupting life-saving treatments, and placing lives at risk. With healthcare systems underfunded and critical infrastructure vulnerable, cybercriminals find this sector an easy and lucrative target. 

In recent years, ransomware attacks have not only caused financial losses but have also shaken public trust in healthcare organizations. Hospitals, medical service providers, and even blood donation centers have been hit, leaving a trail of chaos. 

This article highlights how healthcare organizations can benefit from ANY.RUN‘s Interactive Sandbox and Threat Intelligence Lookup to identify, investigate, and analyze ransomware attacks, using a real-world case study of the Interlock ransomware group. 

The Impact of Ransomware on Healthcare 

Before we dive deeper into how ANY.RUN helps counter such threats, let’s examine how devastating ransomware attacks can be across the healthcare sector. 

What’s at stake? 

• Loss of patient trust: Exposed personal and health information undermines confidence in healthcare providers. 

• Operational disruption: Hospitals and medical facilities are forced to halt services, delaying critical treatments. 

• Financial strain: Organizations face ransom demands, legal fees, and recovery costs, compounding the impact. 

Why Healthcare Is a Prime Target 

1. Sensitive data: Patient records are incredibly valuable on the black market. Ransomware groups exploit this by encrypting data and demanding payments for decryption. 

2. Critical infrastructure: Many healthcare systems cannot afford prolonged downtime due to their role in patient care. 

3. Underfunded cybersecurity: Many healthcare providers operate on tight budgets, often prioritizing patient services over robust IT defenses. 

4. Slow detection: A common issue is the inability to identify and respond to attacks in their early stages, which allows ransomware to spread undetected. 

Interlock Group: Active Ransomware Threat to Healthcare 

Interlock is a ransomware actor that engages in double-extortion. 

In late 2024, the Interlock ransomware group launched targeted attacks against multiple healthcare facilities in the United States, causing significant disruptions and exposing sensitive patient data: 

• Brockton Neighborhood Health Center: Breached on October 20, 2024, undetected until December 17, 2024. 

• Legacy Treatment Services: Attack detected on October 26, 2024. 

• Drug and Alcohol Treatment Service: Breach discovered on October 24, 2024. 

How ANY.RUN Helps at Different Stages of Interlock Attacks

ANY.RUN provides healthcare organizations with proactive tools to analyze and investigate ransomware attacks at various stages. 

Let’s discover how by having a look at the Interlock ransomware group. The stages of the attack are taken from one of the most detailed reports on the threat from Talos, released on January 14, 2025. 

1. Initial Compromise (TA0001) 

At this stage, the Interlock ransomware group uses the Drive-by Compromise technique to gain access to the victim’s infrastructure. 

Drive-by Compromise: How It Happened 

The Interlock ransomware group either compromised or newly registered a phishing website, as evidenced by recent registration data in Whois. This phishing site was designed to appear as a news feed, complete with links for downloading software. Unwary users visiting the site were tricked into downloading malicious files. 

Here is how ANY.RUN’s Threat Intelligence Lookup could be used by analysts at this stage of the attack. 

Early Detection of Malicious Domains 

By querying the domain apple-online.shop, ANY.RUN found that users first flagged and analyzed the website on September 6, 2024, almost a month before public mentions of the group appeared in this report.

This means ANY.RUN detected suspicious activity nearly two months before the Talos report was published. 

Thanks to ANY.RUN’s access to public samples of the latest cyber threats from around the world, users of TI Lookup were able to identify Interlock’s domain as malicious before public reports. With such early detection, healthcare organizations can take preventative measures long before public alerts are raised. 

Understanding Website Content 

With the help of ANY.RUN’s Interactive Sandbox, you can view how the malicious website looked like and what content was used to deceive users. By analyzing such sites, healthcare organizations can train employees to recognize and avoid similar threats in the future. 

View analysis session 

The virtual machine allows anyone to see the behavior of this threat and interact with it in real time. 

Expanding on Known Threat Information 

ANY.RUN’s data can also enrich users’ existing knowledge of the attack.  

While reports stated that the attackers used malware disguised as a Google Chrome updater, ANY.RUN uncovered additional tactics, such as mimicking MSTeams and MicrosoftEdge updates (evident in filenames like MSTeamsSetup.exe and MicrosoftEdgeSetup.exe). 

This shows that by identifying alternative disguises used for malware, ANY.RUN equips organizations to anticipate a broader range of file disguises utilized by Interlock. 

IOCs and File Analysis 

Reports mentioned a specific file named upd_2327991.exe used in the attack. ANY.RUN’s database reveals additional files with similar naming conventions, such as: 

• upd_8816295.exe 

• upd_1416836.exe 

This suggests that the attackers generated file names using random alphanumeric patterns. Each file had distinct hash values (SHA256), which serve as unique Indicators of Compromise (IOCs): 

• 8d911ef72bdb4ec5b99b7548c0c89ffc8639068834a5e2b684c9d78504550927 

• 97105ed172e5202bc219d99980ebbd01c3dfd7cd5f5ac29ca96c5a09caa8af67 

The analysis showed that with the help of ANY.RUN’s TI Lookup and Interactive Sandbox, healthcare organizations facing Interlock ransomware attacks could: 

• Discover the Start Date of Attacks: Get information about the first activities of the attacking group, which often happen before public reports.  

• Study the Attacker’s Setup: Identify the domains, IP addresses, and other parts of the attacker’s setup to learn more about their tactics and methods.  

• Improve Detection Systems: Collect additional IOCs to configure defensive mechanisms and improve attack detection. 

2. TA0002: Execution

Once attackers gain initial access, the Execution phase begins. This stage involves deploying malicious payloads or executing harmful commands on the compromised device. In the Interlock ransomware attacks, users unknowingly launch a fake updater file, triggering the execution of malware and allowing attackers to establish control over the victim’s system. 

How Interlock Group Executes Their Attacks

The reports revealed that the attackers leveraged Remote Access Tools (RATs), which provided them with full control of the infected machine. By disguising these RATs as legitimate software, such as Chrome, MSTeams, or Microsoft Edge updaters, the attackers ensured that their actions remained unnoticed until significant damage was done. 

Detecting Encrypted URLs in Fake Updaters

With ANY.RUN Sandbox, analysts could uncover that the fake-updater contained encrypted URLs used to communicate with the attackers’ infrastructure. For example, the xor-url tag in ANY.RUN revealed hidden URLs within the malware’s configuration files. 

View analysis session 

By clicking on the CFG (Configuration) option in the sandbox, analysts can view decrypted URLs. These insights provide actionable intelligence about the malware’s communication methods and help identify similar patterns in future attacks. 

Using YARA Search to Find More Samples

ANY.RUN’s YARA Search functionality allowed researchers to create a rule for detecting RAT samples linked to the attack.  

Here’s an example of a YARA rule tailored for identifying Interlock’s disguised RAT samples: 

rule Interlock_RAT {  

    strings:  

        $ = "/MSTeamsSetup.exe\" xor  

        $ = "/ChromeSetup.exe\" xor  

        $ = "/MicrosoftEdgeSetup.exe\" xor  

    condition:  

        any of them  

} 

This YARA rule uncovered over 44 new malicious files, each representing a new indicator.

These IOCs can be added to detection systems, expanding the scope of protection. 

Discovering Additional IOCs 

In addition to detecting malicious files, ANY.RUN’s sandbox session revealed network IOCs such as URLs and IP addresses that previously were not covered in other reports. 

The URL shown above was not included in the detailed report from Talos.  

Had the organizations encountering this URL and payload used ANY.RUN’s Interactive Sandbox, they would be able to run the RAT in a safe virtual environment and see its malicious nature. This could have prevented them from detonating the payload on their own systems. 

During Execution, ANY.RUN helps users: 

• Discover IOCs: Find additional file and network IoCs, including those found in configurations. 

• Find Unknown Threats: Discover previously unknown threats. 

• Analyze Threats: Safely explore suspicious URLs and detonate payloads. 

3. TA0006: Credential Access 

Once attackers gain the ability to execute commands on a compromised system, their next move often involves stealing access credentials. In the Interlock ransomware attack, the group employed a custom stealer tool to gather and exfiltrate these credentials. 

How Credential Stealing Works in This Attack

• The attackers’ stealer was designed to collect sensitive data, including usernames, passwords, and other access credentials. 

• According to vendor reports, the stolen data was stored in a file named “chrgetpdsi.txt.” This file served as a repository for harvested credentials before exfiltration. 

Let’s use TI Lookup to find more information on the stealer:  

As a result, we see that the Stealer had been detected by ANY.RUN as early as August 2024, well before users began investigating the compromised domain. 

Early detection of malicious tools like this Stealer provides security teams with actionable intelligence to defend against evolving threats. 

4. TA0008: Lateral Movement 

At the Lateral Movement phase, attackers aim to spread across the network, gaining access to additional systems and resources.  

The Interlock ransomware group moved laterally within networks using legitimate remote administration tools like Putty, Anydesk, and RDP. These tools are often abused by attackers to access additional systems undetected. 

The ANY.RUN Sandbox excels at identifying the presence of these tools when they are abused for malicious purposes.

By executing suspicious files in a controlled environment, ANY.RUN can: 

• Detect the execution of Putty, Anydesk, or RDP-related activities. 

• Provide detailed insights into how these tools are being used by attackers. 

5. TA0010: Data Exfiltration 

In the Data Exfiltration phase, attackers transfer stolen data out of the victim’s network. The Interlock ransomware group used Azure cloud storage to exfiltrate data. 

Inside the ANY.RUN sandbox, you can see the system configuration data being sent to a Command and Control (C2) server via the RAT. 

ANY.RUN captures data sent by the RAT to attacker-controlled servers. For this example, logs revealed information sent to IP 217[.]148[.]142[.]19 over port 443: 

Using tools like CyberChef, we can decrypt the logged traffic (e.g., XOR-encrypted data) to identify what attackers exfiltrated. 

Thus, during the Data Exfiltration phase, ANY.RUN Sandbox logs traffic sent to external systems, allowing analysts to identify exactly what data is being transmitted to the attacker’s server. 

ANY.RUN’s Key Benefits for Healthcare Organizations

ANY.RUN empowers healthcare organizations with fast, safe, and effective tools to investigate and analyze cyber threats: 

• Pin malicious indicators to actual threats to gain a better understanding of the risks your organization is facing.  
• Receive in-depth reports with IOCs, TTPs, and malware behavior summaries. 
• Simplify and speed up threat analysis for SOC team members at all levels, saving time and increasing productivity.
• Accelerate the alert triage process and reduce the workload through fast operation speeds, a user-friendly interface, and smart automation.
• Safely examine sensitive data in a private mode, ensuring compliance with cybersecurity and data protection requirements.
• Gain access to detailed insights into malware’s behavior and better understand threats to streamline incident response.
• Collaborate with team members, share results, and coordinate efforts efficiently during incident handling.
• Optimize the cost of responding to incidents by accessing detailed data with ANY.RUN’s interactive analysis, which helps in developing new detection and protection methods.

Conclusion 

ANY.RUN can be an invaluable tool at various stages of ransomware attacks. During incident investigations, TI Lookup can provide critical data on the threat at hand. Running malware in the ANY.RUN Sandbox before executing it on a local machine allows for a proactive identification of the threat and thorough analysis of its behavior.

By combining ANY.RUN’s tools, healthcare organizations can not only enhance the understanding of the threats’ capabilities but also ensure that they are identified and mitigated effectively. 

About ANY.RUN

ANY.RUN helps more than 500,000 cybersecurity professionals worldwide. Our interactive sandbox simplifies malware analysis of threats that target both Windows and Linux systems. Our threat intelligence products, TI Lookup, YARA Search, and Feeds, help you find IOCs or files to learn more about the threats and respond to incidents faster.

Request free trial of ANY.RUN’s services → 

The post How ANY.RUN Helps Healthcare Organizations Against Ransomware: Interlock Case Study appeared first on ANY.RUN’s Cybersecurity Blog.

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