Spectra Assure

Quarantine

Scanned:

mrmustard

Artifact:

latest

Differentiable quantum Gaussian circuits

License: Permissive (Apache-2.0)

New!

Published:

See on PyPI

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

No known vulnerabilities detected

Hardening

No application hardening issues

Threats

Tampering

1 quarantined components found

Malware

No evidence of malware inclusion

Overview issues7 vulnerabilities0 malware0 behaviors46 dependencies19 contributors3 versions14

Popularity

77.46k

Total Downloads

Contributors

Declared Dependencies

Dependents

Top issues

See all issues

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. Software developers publish components they have authored to public repositories. The ReversingLabs community package index may place software packages into quarantine during an ongoing security incident investigation. When a software project is placed into quarantine, it is typically unavailable for installation. Additionally, repository maintainers may also hide quarantined software projects from users that might stumble upon them using repository search functions. Quarantine is typically raised for software projects that were reported for unusual code changes or unexpected software behaviors.

Prevalence in PyPI community

No prevalence information at this time

Next steps

Inspect behaviors exhibited by the detected software components.

If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.

Revise the use of components that raise these alarms. If you can't deprecate those components, make sure they are well-documented.

Avoid using this software package until it is vetted as safe.

Problem

Software components contain executable code that performs actions implemented during its development. These actions are called behaviors. In the analysis report, behaviors are presented as human-readable descriptions that best match the underlying code intent. Python Package Index (PyPI) repository is often abused by threat actors to publish software packages that exhibit malicious behaviors. Malware authors use numerous tactics to lure developers into including malicious PyPI packages in their software projects. Most malicious packages published on PyPI target developers and their workstations. However, some are designed to activate only when deployed in the end-user environment. Both types of Python malicious packages are detected by proprietary ReversingLabs threat hunting algorithms. This detection method is considered proactive, and it is based on Machine Learning (ML) algorithms that can detect novel malware. The detection is strongly influenced by behaviors that software components exhibit. Behaviors similar to previously discovered malware and software supply chain attacks may cause some otherwise benign software packages to be detected by this policy.

Prevalence in PyPI community

1 packages

found in

Top 100

18 packages

found in

Top 1k

104 packages

found in

Top 10k

16.5k packages

in community

Next steps

Investigate reported detections.

If the software intent does not relate to the reported behavior, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider rewriting the flagged code without using the marked behaviors.

Problem

Software components sometimes need to interact with sensitive parts of the runtime environment, often requiring privileged access to accomplish a task. Cloud workload configuration includes high-value information such as cloud provider credentials, environment variables containing secrets, and configuration files used by cloud and container orchestration tools. That information is used by applications running in cloud and containerized environments. Attackers often abuse access to cloud workload configuration to harvest secrets from developer machines and build environments, which can later be exfiltrated to attacker-controlled infrastructure and used to gain unauthorized access to cloud resources. While the presence of code that accesses cloud workload configuration does not necessarily imply malicious intent, all of its uses in a software package should be documented and approved. Only select software components should consider using functions that read cloud workload configuration. One example of acceptable use for such functions is infrastructure-as-code tooling that legitimately needs to read credentials to provision or manage cloud resources on behalf of the developer.

Prevalence in PyPI community

No prevalence information at this time

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1580 - Cloud Infrastructure Discovery.

Consider rewriting the flagged code without using the marked behaviors.

Problem

Prevalence in PyPI community

20 packages

found in

Top 100

92 packages

found in

Top 1k

907 packages

found in

Top 10k

43.88k packages

in community

Next steps

Investigate reported detections.

If the software intent does not relate to the reported behavior, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider rewriting the flagged code without using the marked behaviors.

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. When accessing the internet, a device is assigned a unique Internet Protocol (IP) address. This address identifies the point of origin and destination of each request a connected device makes. Attackers often aim to better understand their targets. Collecting basic reconnaissance information typically includes the IP address of a machine. While the operating system has the utilities to get this information, some attackers may prefer getting this data from an external source. Many web services host pages that return the IP address of the caller. For that reason, attackers often opt to get the IP information from a third-party service. While the presence of IP querying services does not imply malicious intent, all of their uses in a software package should be documented and approved.

Prevalence in PyPI community

0 packages

found in

Top 100

13 packages

found in

Top 1k

71 packages

found in

Top 10k

4.23k packages

in community

Next steps

Investigate reported detections.

If the software should not include these network references, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider an alternative mechanism for detecting the machine's IP address.

Top behaviors

See all behaviors

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

Behavior often found in this community (Common)

36 packages

found in

Top 100

281 packages

found in

Top 1k

1802 packages

found in

Top 10k

66.4k packages

in community

Top vulnerabilities

See all vulnerabilities

Vulnerability Exploitation Lifecycle

(1 Active Vulnerabilities)

None

Exploits Unknown

Exploits Exist

Exploited by Malware

Patching Mandated

FAQ for mrmustard

What is mrmustard?

Differentiable quantum Gaussian circuits.

Is mrmustard malicious or is it safe to use?

The Python package mrmustard was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to download and use. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details.

Is mrmustard popular?

The Python package mrmustard is not widely used. It has 77K recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure mrmustard once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how mrmustard behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a mrmustard version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

Did you know...

... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.

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Popularity

77.46k

Total Downloads

Contributors

Declared Dependencies

Dependents

Top issues

See all issues

Problem

Prevalence in PyPI community

No prevalence information at this time

Next steps

Inspect behaviors exhibited by the detected software components.

If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.

Revise the use of components that raise these alarms. If you can't deprecate those components, make sure they are well-documented.

Avoid using this software package until it is vetted as safe.

Problem

Prevalence in PyPI community

1 packages

found in

Top 100

18 packages

found in

Top 1k

104 packages

found in

Top 10k

16.5k packages

in community

Next steps

Investigate reported detections.

If the software intent does not relate to the reported behavior, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider rewriting the flagged code without using the marked behaviors.

Problem

Prevalence in PyPI community

No prevalence information at this time

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1580 - Cloud Infrastructure Discovery.

Consider rewriting the flagged code without using the marked behaviors.

Problem

Prevalence in PyPI community

20 packages

found in

Top 100

92 packages

found in

Top 1k

907 packages

found in

Top 10k

43.88k packages

in community

Next steps

Investigate reported detections.

If the software intent does not relate to the reported behavior, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider rewriting the flagged code without using the marked behaviors.

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

13 packages

found in

Top 1k

71 packages

found in

Top 10k

4.23k packages

in community

Next steps

Investigate reported detections.

If the software should not include these network references, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider an alternative mechanism for detecting the machine's IP address.

Top behaviors

See all behaviors

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

Behavior often found in this community (Common)

36 packages

found in

Top 100

281 packages

found in

Top 1k

1802 packages

found in

Top 10k

66.4k packages

in community

Top vulnerabilities

See all vulnerabilities

Vulnerability Exploitation Lifecycle

(1 Active Vulnerabilities)

None

Exploits Unknown

Exploits Exist

Exploited by Malware

Patching Mandated

mrmustard

SAFE Assessment

Compliance

Security

Threats

Popularity

Top issues

TH30102Detected presence of software components that are quarantined in the community package index.Causes risk: quarantined components foundhunting

Problem

Prevalence in PyPI community

Next steps

TH15501Detected presence of files with behaviors similar to malicious packages published on PyPI.Causes risk: suspicious application behaviorshunting

Problem

Prevalence in PyPI community

Next steps

TH16130Detected presence of software components that can access sensitive cloud workload configuration.hunting

Problem

Prevalence in PyPI community

Next steps

TH15103Detected presence of files with behaviors commonly used by malicious software.hunting

Problem

Prevalence in PyPI community

Next steps

TH17122Detected presence of files containing URLs related to IP querying services.hunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Reads from container management or orchestration configuration files.steal

Prevalence in PyPI community

Reads from cloud provider configuration files.steal

Prevalence in PyPI community

Writes to container management or orchestration configuration files.file

Prevalence in PyPI community

Writes to cloud provider configuration files.file

Prevalence in PyPI community

Encodes data using the Base64 algorithm.packer

Prevalence in PyPI community

Top vulnerabilities

FAQ for mrmustard

What is mrmustard?

Is mrmustard malicious or is it safe to use?

Is mrmustard popular?

How do I secure mrmustard once it is in my app?

Did you know...

Popularity

Top issues

TH30102Detected presence of software components that are quarantined in the community package index.Causes risk: quarantined components foundhunting

Problem

Prevalence in PyPI community

Next steps

TH15501Detected presence of files with behaviors similar to malicious packages published on PyPI.Causes risk: suspicious application behaviorshunting

Problem

Prevalence in PyPI community

Next steps

TH16130Detected presence of software components that can access sensitive cloud workload configuration.hunting

Problem

Prevalence in PyPI community

Next steps

TH15103Detected presence of files with behaviors commonly used by malicious software.hunting

Problem

Prevalence in PyPI community

Next steps

TH17122Detected presence of files containing URLs related to IP querying services.hunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Reads from container management or orchestration configuration files.steal

Prevalence in PyPI community

Reads from cloud provider configuration files.steal

Prevalence in PyPI community

Writes to container management or orchestration configuration files.file

Prevalence in PyPI community

Writes to cloud provider configuration files.file

Prevalence in PyPI community

Encodes data using the Base64 algorithm.packer

Prevalence in PyPI community

Top vulnerabilities