Spectra Assure

failIncident: Malware

Scanned:

speedtestpython

Artifact:

latest

malicious

Research

License: unknown

Published:

See on PyPI

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

1 inactive web service credentials

Security

Vulnerabilities

No known vulnerabilities detected

Hardening

No application hardening issues

Threats

Tampering

11 malware-like behaviors found

Malware

14 supply chain attack artifacts

INCIDENTS FOR THIS VERSION:

malware

Reported By: ReversingLabs (Researcher)

Learn more about malware detection

malware

Reported By: ReversingLabs (Automated)

Learn more about malware detection

malware

Reported By: Community (OpenSSF)

More info

malware

N/AReported By: Community (kam193)

More info

Popularity

195

Total Downloads

Contributors

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

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

Prevalence in PyPI community

1 packages

found in

Top 100

0 packages

found in

Top 1k

19 packages

found in

Top 10k

772 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

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 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.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)

Behavior commonly used by malicious software (Important)

1 packages

found in

Top 100

4 packages

found in

Top 1k

8 packages

found in

Top 10k

5.74k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

17 packages

found in

Top 100

91 packages

found in

Top 1k

572 packages

found in

Top 10k

16.23k 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)

69 packages

found in

Top 100

506 packages

found in

Top 1k

3612 packages

found in

Top 10k

163.85k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

12 packages

found in

Top 100

43 packages

found in

Top 1k

256 packages

found in

Top 10k

14.42k packages

in community

Top vulnerabilities

No vulnerabilities found.

FAQ for speedtestpython

Is speedtestpython malicious or is it safe to use?

The Python package speedtestpython 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. 11 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 speedtestpython package were malicious.

Is speedtestpython popular?

The Python package speedtestpython is not widely used. It has 195 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 speedtestpython once it is in my app?

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

195

Total Downloads

Contributors

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

1 packages

found in

Top 100

0 packages

found in

Top 1k

19 packages

found in

Top 10k

772 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

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 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.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)

Behavior commonly used by malicious software (Important)

1 packages

found in

Top 100

4 packages

found in

Top 1k

8 packages

found in

Top 10k

5.74k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

17 packages

found in

Top 100

91 packages

found in

Top 1k

572 packages

found in

Top 10k

16.23k 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)

69 packages

found in

Top 100

506 packages

found in

Top 1k

3612 packages

found in

Top 10k

163.85k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

12 packages

found in

Top 100

43 packages

found in

Top 1k

256 packages

found in

Top 10k

14.42k packages

in community

Top vulnerabilities

No vulnerabilities found.

speedtestpython

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

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

SQ30110Detected presence of malicious files through file reputation or third-party scanners.Causes risk: malicious components 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

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

Top behaviors

Starts a PowerShell session and executes Base64-encoded commands.execution

Prevalence in PyPI community

Downloads a file.network

Prevalence in PyPI community

Decodes data using the Base64 algorithm.packer

Prevalence in PyPI community

Creates a process.execution

Prevalence in PyPI community

Creates a new process which executes a shell.execution

Prevalence in PyPI community

Top vulnerabilities

FAQ for speedtestpython

Is speedtestpython malicious or is it safe to use?

Is speedtestpython popular?

How do I secure speedtestpython 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

SQ30110Detected presence of malicious files through file reputation or third-party scanners.Causes risk: malicious components 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

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

Top behaviors

Starts a PowerShell session and executes Base64-encoded commands.execution

Prevalence in PyPI community

Downloads a file.network

Prevalence in PyPI community

Decodes data using the Base64 algorithm.packer

Prevalence in PyPI community

Creates a process.execution

Prevalence in PyPI community

Creates a new process which executes a shell.execution

Prevalence in PyPI community

Top vulnerabilities