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Problem

Potentially unwanted applications (PUAs) can be considered a risk by some software users. This threat type typically collects private user data, or in more extreme cases, tampers with system security settings. Most threat prevention solutions detect and block PUAs. Software packages that trigger security solution detections also tend to increase the number of support calls and open tickets from users.

Problem

Proprietary ReversingLabs malware detection algorithms have determined that the software package contains one or more malicious components. The detection was made by either a static byte signature, software component identity, or a complete file hash. This malware detection method is considered highly accurate, and can typically attribute malware to previously discovered software supply chain attacks. It is common to have multiple supply chain attack artifacts that relate to a single malware incident.

Problem

Proprietary ReversingLabs malware detection algorithms have determined that the software package has one or more malicious dependencies. Some software dependencies may be optional, and could be installed or downloaded only if a certain pre-defined condition is met. When software dependencies are confirmed to be found within the software package, additional issues might also be reported. The detection was made by either a static byte signature, software component identity, or a complete file hash. This malware detection method is considered highly accurate, and can typically attribute malware to previously discovered software supply chain attacks.

Problem

Software composition analysis has identified a component with one or more known severe vulnerabilities. Available threat intelligence telemetry has confirmed that the reported high or critical severity vulnerabilities are actively being exploited by malicious actors.

Problem

Software composition analysis has identified a component with one or more known vulnerabilities. Based on the CVSS scoring, these vulnerabilities have been marked as critical severity.

Problem

Software composition analysis has identified a component with one or more known vulnerabilities. Based on the CVSS scoring, these vulnerabilities have been marked as high severity.

Problem

Software developers use programming and design knowledge to build reusable software components. Software components are the basic building blocks for modern applications. Software consumed by an enterprise consists of hundreds, and sometimes even thousands of open source components. Open source communities depend on the work of thousands of software developers that volunteer their time to maintain software components. While the majority of open source contributors are altruistic and trustworthy, some software developers have a history of making harmful changes to the projects they maintain. Changes that are considered harmful include destructive and disruptive actions, and other developer behaviors that might cause them to be considered untrustworthy in their community. Code written by these software developers should be put under higher degree of scrutiny, and continuously reviewed for unexpected changes.

Problem

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. One or more embedded URLs were discovered to link to raw files hosted on GitHub. Attackers often abuse popular web services to host malicious payloads. Since code-sharing services URLs are typically allowed by security solutions, using them for payload delivery increases the odds that the malicious code will reach the user. While the presence of code-sharing service locations does not imply malicious intent, all of their uses in a software package should be documented and approved. An increasing number of software supply chain attacks in the open source space leverages the GitHub service to deliver malicious payloads.

Problem

Proprietary ReversingLabs analysis engine supports a wide range of commonly used archive and software packaging formats. Using automated static file decomposition technologies, the engine recursively analyzes complex software packages. Software analysis is typically conducted in multiple steps. Content identification, unpacking, validation, and classification are some of the steps performed on each analyzed file. To limit the access to authorized users, the package contents may optionally be password-protected. When the package content is protected with an unknown password, it cannot be fully inspected by the analysis engine. The protected content might contain additional software components that were not listed in the Software Bill of Materials (SBOM) due to use of unknown passwords.

Problem

Software composition analysis has identified a component with one or more known vulnerabilities. Based on the CVSS scoring, these vulnerabilities have been marked as medium severity.