Spectra Assure
Community
warningRisk: Secrets
Scanned: about 5 hours ago

loveclose1

Artifact:
latest
A simple library for Android UI automation using UIAutomator and ADB
License: Permissive (MIT)
New!
Published: about 5 hours ago
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
1 web service credentials found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

Popularity

N/A
Total Downloads
1
Contributor
12
Declared Dependencies
0
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. While a new software project is a welcome addition to the open source community, it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of being the first to try out a new project lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.

Prevalence in PyPI community

0 packages
found in
Top 100
0 packages
found in
Top 1k
5 packages
found in
Top 10k
38.63k packages
in community

Next steps

Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.

Problem

Software as a Service (SaaS) platforms expose programmable interfaces to their authenticated users. These web services enable action automation and secure exchange of information. Web service users can provide a unique key that identifies the caller or confirms the access rights. Therefore, these keys could be considered secret. Keys that can be safely included in a software release package should only be used to identify the caller. For authentication, users should generate their own access keys instead.

Prevalence in PyPI community

0 packages
found in
Top 100
0 packages
found in
Top 1k
22 packages
found in
Top 10k
816 packages
in community

Next steps

You should securely store web service access keys, and fully automate their management and periodic rotation.
If keys were published unintentionally and the software has been made public, you should revoke exposed keys and file a security incident.

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. URL paths provide additional information to a web service when making a request. They are an optional, but an important part of the URL, as they may define specific content or actions based on the data being passed. Some parameters they pass might be considered sensitive information. Since path components are not encrypted this might cause sensitive information to leak. This issue is raised for URL paths than might contain information that attackers can easily intercept. Examples of sensitive information fields include passwords and other similar parameters.

Prevalence in PyPI community

13 packages
found in
Top 100
73 packages
found in
Top 1k
504 packages
found in
Top 10k
10.91k 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 removing all references to flagged network locations.

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. While a new software project is a welcome addition to the open source community. it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of using components that are rarely used to build applications lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.

Prevalence in PyPI community

1 packages
found in
Top 100
11 packages
found in
Top 1k
910 packages
found in
Top 10k
717.09k packages
in community

Next steps

Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.

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. Software developers build up the reputation of their open source projects by developing in public. Modern source code repositories have many social features that allow software developers to handle bug reports, have discussions with their users, and convey reaching significant project milestones. It is uncommon to find open source projects that omit linking their component to a publicly accessible source code repository.

Prevalence in PyPI community

70 packages
found in
Top 100
472 packages
found in
Top 1k
4207 packages
found in
Top 10k
413.79k packages
in community

Next steps

Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
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)
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)
13 packages
found in
Top 100
73 packages
found in
Top 1k
505 packages
found in
Top 10k
10.94k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
35 packages
found in
Top 100
271 packages
found in
Top 1k
1741 packages
found in
Top 10k
61.42k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
67 packages
found in
Top 100
525 packages
found in
Top 1k
4055 packages
found in
Top 10k
154.83k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
533 packages
found in
Top 1k
3858 packages
found in
Top 10k
146.15k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for loveclose1

What is loveclose1?

A simple library for Android UI automation using UIAutomator and ADB. For more information about this package, visit its homepage.

Is loveclose1 malicious or is it safe to use?

The Python package loveclose1 was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. 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 loveclose1 popular?

The Python package loveclose1 is not widely used. 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 loveclose1 once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how loveclose1 behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a loveclose1 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.