Arctic Swallow
Arctic Swallow is a low-interaction honeypot designed to detect and analyze potential security threats. It uses a combination of techniques to mimic a real system, making it an attractive target for attackers. Arctic Swallow provides real-time monitoring and logging of attacker activity, allowing security teams to quickly respond to and contain threats. It is a powerful tool for detecting and analyzing malware, ransomware, and other types of attacks.
FEATURES
SIMILAR TOOLS
A serverless application that creates and monitors fake HTTP endpoints as honeytokens to detect attackers, malicious insiders, and automated threats.
A combination of honeypot, monitoring tool, and alerting system for detecting insecure configurations.
An Apache 2 based honeypot with detection capabilities specifically designed to identify and analyze Struts CVE-2017-5638 exploitation attempts.
A low-interaction honeypot to detect and analyze attempts to exploit the CVE-2017-10271 vulnerability in Oracle WebLogic Server
PINNED
Proton Pass is a cross-platform password manager that provides encrypted storage, password generation, and security monitoring features with integrated 2FA and dark web monitoring capabilities.
NordVPN is a commercial VPN service that encrypts internet connections and hides IP addresses through a global network of servers, featuring integrated threat protection and multi-device support.
Fractional CISO service that helps B2B companies implement security leadership to win enterprise deals, achieve compliance, and develop strategic security programs.
Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.
Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.
DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.