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Description
Safeguard your network against zero-day attacks in real-time with a pioneering deep and machine-learning Intrusion Prevention System (IPS) that stands out in the industry. This unique solution effectively blocks unknown command-and-control (C2) attacks and exploit attempts immediately, utilizing advanced threat prevention through specially designed inline deep learning models. Additionally, it defends against a variety of established threats, including exploits, malware, spyware, and C2 attacks, all while maintaining top-notch performance with cutting-edge, researcher-grade signatures. Palo Alto's Advanced Threat Prevention (ATP) addresses threats at both the network and application layers, effectively mitigating risks such as port scans, buffer overflows, and remote code execution, and prioritizing a minimal rate of false positives. With the ability to counteract the latest malware threats through payload signatures rather than traditional hashes, this solution is equipped to handle both current and emerging malware variants, delivering prompt security updates from Advanced WildFire within seconds. Enhance your defensive measures further by incorporating flexible Snort and Suricata rule conversions, allowing for tailored protection strategies to meet your specific network needs. This comprehensive approach ensures that your infrastructure remains resilient against evolving cyber threats.
Description
YARA serves as a resource primarily designed for malware analysts to discover and categorize malware samples effectively. This powerful tool enables users to develop representations of various malware families or other entities by utilizing either textual or binary patterns. Each representation, known as a rule, comprises a collection of strings paired with a boolean expression that dictates its operational logic. Additionally, YARA-CI can enhance your toolkit by offering a GitHub application that facilitates continuous testing of your rules, which aids in detecting frequent errors and minimizing false positives. In essence, the specified rule directs YARA to flag any file that contains one of the three designated strings as a silent_banker, thereby streamlining the identification process. By incorporating YARA and YARA-CI, researchers can significantly improve their malware detection capabilities and overall efficiency in their work.
API Access
Has API
API Access
Has API
Integrations
Betterscan.io
CloudCover CoverIT
Cobalt Strike
Filigran
IBM Cloud App ID
LimaCharlie
Snort
Suricata
Symantec Network Forensics
Tenzir
Integrations
Betterscan.io
CloudCover CoverIT
Cobalt Strike
Filigran
IBM Cloud App ID
LimaCharlie
Snort
Suricata
Symantec Network Forensics
Tenzir
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Palo Alto
Founded
2005
Country
United States
Website
www.paloaltonetworks.com/network-security/advanced-threat-prevention
Vendor Details
Company Name
YARA
Website
virustotal.github.io/yara/