Spectra Assure

failIncident: Malware

Scanned:

aiocpa

Artifact:

latest

malicious

Research

sync & async Crypto Pay API client.

License: Permissive (MIT)

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

4 malware-like behaviors found

Malware

3 supply chain attack artifacts

INCIDENTS FOR THIS VERSION:

malware

Reported By: ReversingLabs (Researcher)

Learn more about malware detection

malware

Reported By: Community (Phylum)

More info

malware

Reported By: Community (Snyk)

More info

malware

Reported By: Community (OpenSSF)

More info

Popularity

12.75k

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

0 packages

found in

Top 1k

11 packages

found in

Top 10k

14.01k 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

0 packages

found in

Top 1k

10 packages

found in

Top 10k

14.02k 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

1 packages

found in

Top 1k

5 packages

found in

Top 10k

9.47k 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 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

3 packages

found in

Top 10k

2.05k 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 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 communities use code repositories to facilitate project discovery and simplify software deployment. However, anyone with an email account can join a community and start publishing code to public repositories. Vetting users before they join a community is usually not done by repository maintainers. That makes public repositories popular among threat actors. Detected software component was authored by an email address, or an identity, that is known to publish malicious code in public repositories.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

9.22k 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.

Consider replacing the software component with an alternative.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior exclusively used by malicious software (Malicious)

Behavior uncommon for this community (Uncommon)

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

9.22k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

39 packages

found in

Top 100

252 packages

found in

Top 1k

1477 packages

found in

Top 10k

53.15k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

36 packages

found in

Top 100

219 packages

found in

Top 1k

1678 packages

found in

Top 10k

63.42k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

22 packages

found in

Top 100

83 packages

found in

Top 1k

430 packages

found in

Top 10k

9.5k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

53 packages

found in

Top 100

351 packages

found in

Top 1k

1856 packages

found in

Top 10k

48.82k packages

in community

Top vulnerabilities

No vulnerabilities found.

FAQ for aiocpa

What is aiocpa?

sync & async Crypto Pay API client. For more information about this package, visit its homepage.

Is aiocpa malicious or is it safe to use?

The Python package aiocpa 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. 4 other issues and risky behaviors were 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 aiocpa package were malicious.

Is aiocpa popular?

The Python package aiocpa is not widely used. It has 13K 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 aiocpa once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how aiocpa behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a aiocpa 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.

This website uses cookies to ensure the best website experience. By continuing to use this website you are giving your consent to cookies being used. Detailed information about our use of cookies is here.

Popularity

12.75k

Total Downloads

Contributor

Declared Dependencies

Dependents

Top issues

See all issues

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

11 packages

found in

Top 10k

14.01k 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

0 packages

found in

Top 1k

10 packages

found in

Top 10k

14.02k 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

1 packages

found in

Top 1k

5 packages

found in

Top 10k

9.47k 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

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

2.05k 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

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

9.22k 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.

Consider replacing the software component with an alternative.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior exclusively used by malicious software (Malicious)

Behavior uncommon for this community (Uncommon)

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

9.22k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

39 packages

found in

Top 100

252 packages

found in

Top 1k

1477 packages

found in

Top 10k

53.15k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

36 packages

found in

Top 100

219 packages

found in

Top 1k

1678 packages

found in

Top 10k

63.42k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

22 packages

found in

Top 100

83 packages

found in

Top 1k

430 packages

found in

Top 10k

9.5k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

53 packages

found in

Top 100

351 packages

found in

Top 1k

1856 packages

found in

Top 10k

48.82k packages

in community

Top vulnerabilities

No vulnerabilities found.

aiocpa

SAFE Assessment

Compliance

Security

Threats

IMPORTANT: All versions of this package have been maliciousLatest version with malware incident detected: about 1 year agoVersion: 0.1.14

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

TH15104Detected presence of files with behaviors exclusively used by malicious software.Causes risk: malware-like behaviors foundhunting

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

TH15401Detected presence of software components authored by known threat actors.Causes risk: malicious author componentshunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

The software package was developed by a user known for distributing malicious packages on the PyPI repository.anomaly

Prevalence in PyPI community

Decodes data using the Base64 algorithm.packer

Prevalence in PyPI community

Contains URLs that link to raw files on GitHub.network

Prevalence in PyPI community

Decompresses data using the Zlib algorithm.packer

Prevalence in PyPI community

Executes an expression.execution

Prevalence in PyPI community

Top vulnerabilities

FAQ for aiocpa

What is aiocpa?

Is aiocpa malicious or is it safe to use?

Is aiocpa popular?

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

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

TH15104Detected presence of files with behaviors exclusively used by malicious software.Causes risk: malware-like behaviors foundhunting

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

TH15401Detected presence of software components authored by known threat actors.Causes risk: malicious author componentshunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

The software package was developed by a user known for distributing malicious packages on the PyPI repository.anomaly

Prevalence in PyPI community

Decodes data using the Base64 algorithm.packer

Prevalence in PyPI community

Contains URLs that link to raw files on GitHub.network

Prevalence in PyPI community

Decompresses data using the Zlib algorithm.packer

Prevalence in PyPI community

Executes an expression.execution

Prevalence in PyPI community