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failIncident: Malware

Scanned:

neutrl-core

Artifact:

latest

removed

malicious

Research

Core utilities for Neutrl Protocol services — config, logging, RPC management, and common helpers

License: Permissive (MIT)

Published:

Visit GitHub

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 malware-like behaviors found

Malware

3 supply chain attack artifacts

INCIDENTS FOR THIS VERSION:

malware

Reported By: Community (Snyk)

More info

malware

Reported By: Community (kam193)

More info

malware

Reported By: Community (OpenSSF)

More info

malware

Reported By: Community (GitHub Advisory)

More info

removal

Reported By: Community

malware

Reported By: ReversingLabs (Researcher)

Learn more about malware detection

Overview issues7 vulnerabilities0 malware3 behaviors19 dependencies10 contributors1 versions3

Popularity

974

Total Downloads

Contributor

Declared Dependencies

Dependents

Top issues

See all issues

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.

Prevalence in PyPI community

0 packages

found in

Top 100

2 packages

found in

Top 1k

18 packages

found in

Top 10k

15.82k packages

in community

Next steps

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

Avoid using this software package.

Problem

Threat researchers have manually inspected the software package and determined that it contains one or more malicious files. The detection was made by a hash-based file reputation lookup. This malware detection method is considered highly accurate, and can typically identify the malware family by name.

Prevalence in PyPI community

0 packages

found in

Top 100

1 packages

found in

Top 1k

15 packages

found in

Top 10k

15.24k packages

in community

Next steps

Investigate the build and release environment for software supply chain compromise.

Avoid using this software package.

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. While most behaviors are benign, some are exclusively used by malicious software with the intent to cause harm. When a software package matches behavior traits of malicious software, it becomes flagged by security solutions. It is highly likely that the software package was tampered with by a malicious actor or a rogue insider. Detected threat type matches the behaviors typically exhibited by the infostealer malware profile. Infostealers are commonly used to steal sensitive user data such as stored login details, financial information, and other personally identifiable information.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

6 packages

found in

Top 10k

2.63k packages

in community

Next steps

Investigate reported detections.

Investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed.

In the case this behavior is intended, rewrite the flagged code without using the malware-like 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

5 packages

found in

Top 100

13 packages

found in

Top 1k

83 packages

found in

Top 10k

2.05k packages

in community

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

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. Open source projects are the intellectual property of their respective authors. At any time, the authors may choose to completely remove the software component from a public repository. This often occurs when a software project reaches its end-of-life stage, or when the software authors lose interest in maintaining the project. This kind of removal frees up the software package name, its unique software identifier in the public repository, for other developers to use. However, new software project owners might have malicious intent. Threat actors are continuously monitoring popular package names in case their unique identifiers suddenly become available for hijacking. Once the software projects falls under new ownership, the new maintainers may opt to use the project popularity to spread malware to unsuspecting users.

Prevalence in PyPI community

2 packages

found in

Top 100

12 packages

found in

Top 1k

54 packages

found in

Top 10k

99.05k packages

in community

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 that their versions are pinned.

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

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)

4 packages

found in

Top 100

12 packages

found in

Top 1k

81 packages

found in

Top 10k

1.91k packages

in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)

2 packages

found in

Top 100

15 packages

found in

Top 1k

107 packages

found in

Top 10k

4.97k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

72 packages

found in

Top 100

544 packages

found in

Top 1k

3805 packages

found in

Top 10k

216.66k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

27 packages

found in

Top 100

200 packages

found in

Top 1k

1111 packages

found in

Top 10k

74.25k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

77 packages

found in

Top 100

620 packages

found in

Top 1k

4584 packages

found in

Top 10k

277.34k packages

in community

Top vulnerabilities

No vulnerabilities found.

FAQ for neutrl-core

What is neutrl-core?

Core utilities for Neutrl Protocol services — config, logging, RPC management, and common helpers.

Is neutrl-core malicious or is it safe to use?

The Python package neutrl-core has been removed from registry. It was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to use. 1 other issue and risky behavior was found. The package contains risks, and the analysis results should be reviewed before it is used. Visit the Issues and Behaviors sections of the analysis for more details. All versions of the neutrl-core package were malicious. There have been 6 compromised malicious versions of neutrl-core. The most recent was 2.0.2 2 months ago.

Does neutrl-core have known vulnerabilities?

No vulnerabilities have been detected for this version of neutrl-core.

Is neutrl-core popular?

The Python package neutrl-core is not widely used. It has 974 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.

Read our best practices for protecting your software supply chain guide.

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.

Popularity

974

Total Downloads

Contributor

Declared Dependencies

Dependents

Top issues

See all issues

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

2 packages

found in

Top 1k

18 packages

found in

Top 10k

15.82k packages

in community

Next steps

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

Avoid using this software package.

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

1 packages

found in

Top 1k

15 packages

found in

Top 10k

15.24k packages

in community

Next steps

Investigate the build and release environment for software supply chain compromise.

Avoid using this software package.

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

6 packages

found in

Top 10k

2.63k packages

in community

Next steps

Investigate reported detections.

Investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed.

In the case this behavior is intended, rewrite the flagged code without using the malware-like behaviors.

Problem

Prevalence in PyPI community

5 packages

found in

Top 100

13 packages

found in

Top 1k

83 packages

found in

Top 10k

2.05k packages

in community

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

2 packages

found in

Top 100

12 packages

found in

Top 1k

54 packages

found in

Top 10k

99.05k packages

in community

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 that their versions are pinned.

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

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)

4 packages

found in

Top 100

12 packages

found in

Top 1k

81 packages

found in

Top 10k

1.91k packages

in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)

2 packages

found in

Top 100

15 packages

found in

Top 1k

107 packages

found in

Top 10k

4.97k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

72 packages

found in

Top 100

544 packages

found in

Top 1k

3805 packages

found in

Top 10k

216.66k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

27 packages

found in

Top 100

200 packages

found in

Top 1k

1111 packages

found in

Top 10k

74.25k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

77 packages

found in

Top 100

620 packages

found in

Top 1k

4584 packages

found in

Top 10k

277.34k packages

in community

Top vulnerabilities

No vulnerabilities found.

neutrl-core

SAFE Assessment

Compliance

Security

Threats

IMPORTANT: All versions of this package have been maliciousLatest version with malware incident detected: 3 months agoVersion: 2.0.2

INCIDENTS FOR THIS VERSION:

Popularity

Top issues

SQ30105Detected presence of known software supply chain attack artifacts.Causes risk: supply chain attack artifactsthreats

Problem

Prevalence in PyPI community

Next steps

SQ30109Detected presence of malicious files through analyst-vetted file reputation.Causes risk: analyst-vetted malware foundthreats

Problem

Prevalence in PyPI community

Next steps

TH15108Detected presence of files with behaviors that match the infostealer malware profile.Causes risk: malware-like behaviors foundhunting

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

TH30103Detected presence of software components that were removed from the public package repository.Causes risk: components prone to hijackinghunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Reads from cloud provider configuration files.steal

Prevalence in PyPI community

Queries the computer's network name.search

Prevalence in PyPI community

Renames a file or directory.file

Prevalence in PyPI community

Calculates the SHA-256 hash of data.file

Prevalence in PyPI community

Queries the value of an environment variable.search

Prevalence in PyPI community

Top vulnerabilities

FAQ for neutrl-core

What is neutrl-core?

Is neutrl-core malicious or is it safe to use?

Does neutrl-core have known vulnerabilities?

Is neutrl-core popular?

Did you know...

Popularity

Top issues

SQ30105Detected presence of known software supply chain attack artifacts.Causes risk: supply chain attack artifactsthreats

Problem

Prevalence in PyPI community

Next steps

SQ30109Detected presence of malicious files through analyst-vetted file reputation.Causes risk: analyst-vetted malware foundthreats

Problem

Prevalence in PyPI community

Next steps

TH15108Detected presence of files with behaviors that match the infostealer malware profile.Causes risk: malware-like behaviors foundhunting

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

TH30103Detected presence of software components that were removed from the public package repository.Causes risk: components prone to hijackinghunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Reads from cloud provider configuration files.steal

Prevalence in PyPI community

Queries the computer's network name.search

Prevalence in PyPI community

Renames a file or directory.file

Prevalence in PyPI community

Calculates the SHA-256 hash of data.file

Prevalence in PyPI community

Queries the value of an environment variable.search

Prevalence in PyPI community