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The Standard in Software Supply Chain Security

Feel more comfortable moving faster on your unique path to innovation

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Our Monthly Findings 

600,000
+

Packages Processed

99M
+

Source Files Analyzed

700
+

Malware Identified

11
Min

Average Detection Time

Deductive Risk Analysis

Phylum's automated analysis ties together risk indicators identified through the application of heuristics and machine learning methods. This allows Phylum to automatically flag hundreds of malicious packages within minutes of publication, and allow enterprises to proactively defend against:

01

Typosquatting

a form of cybersquatting or brandjacking which relies on mistakes such as typos made by Internet users when inputting a website address into a web browser.

02

Repojacking

Dependency repository hijacking that impacts over 70,000 open-source projects and affects everything from web frameworks to cryptocurrencies.

03

Dependency Confusion

when a software installer script is tricked into pulling a malicious code file from a public repository instead of the intended file of the same name from an internal repository.

04

Malicious Authors

When malware authors intentionally write code that attempts to avoid reverse engineering or detection, and spread itself throughout the network in a very aggressive manner.

05

Third-Party Account Compromise

A third-party breach of information and privacy that threaten software supply chains, and negatively impact relationships between companies and their suppliers.

Platform Benefits

 

Platform Benefits v2.1