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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Gain the crucial information edge necessary to counter the upcoming threats with continuous, around-the-clock analysis of alerts that remain undetected by other solutions. Instantly identify whether an unknown suspect's code is a variant of malware, with a similarity score ranging from 70% to 100%. You will immediately access a comprehensive list of the suspect's associated malware families, the classification of the malware, and the related indicators of compromise (IOCs). Take proactive measures by automatically blocking malware matches that are confirmed to be identical. Elevate the level of scrutiny on suspects once you secure a strategic advantage through pre-identified code of interest. Utilize freshly extracted IOCs along with all matched indicators to reinforce your defenses. Additionally, conduct hunts and surveillance using automatically generated, highly precise bytecode-based YARA rules derived from the recently convicted suspect, your repository of matched code, or specifically chosen malware samples. A customizable API empowers you to streamline processes, allowing for the automation of actions that save valuable expert time by deobfuscating and dissecting exploit code down to individual functions, thus enhancing your overall cybersecurity strategy. This comprehensive approach ensures that you remain one step ahead of potential threats, effectively safeguarding your digital assets.

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

Screenshots View All

Screenshots View All

Integrations

Betterscan.io
Filigran
LimaCharlie
Symantec Network Forensics
Tenzir
Threat.Zone
Uptycs

Integrations

Betterscan.io
Filigran
LimaCharlie
Symantec Network Forensics
Tenzir
Threat.Zone
Uptycs

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

Unkown Cyber

Website

unknowncyber.com

Vendor Details

Company Name

YARA

Website

virustotal.github.io/yara/

Product Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Product Features

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